Philosophy of Cognitive Science

Statistical fairness criteria are widely used for diagnosing and ameliorating algorithmic bias. However, these fairness criteria are controversial as their use raises several difficult questions. I argue that the major problems for statistical algorithmic fairness criteria stem from an incorrect understanding of their nature. These criteria are primarily used for two purposes: first, evaluating AI systems for bias, and second constraining machine learning optimization problems in order to ameliorate such bias. The first purpose typically involves treating each criterion as a (...) necessary condition for fairness. The second use involves treating criteria as sufficient conditions for fairness. Since the criteria are used for both roles, some researchers have treated them as both necessary and sufficient conditions, i.e., as definitions of algorithmic fairness. However, serious problems have been raised for the use of these fairness criteria. Under ordinary circumstances, it is impossible to satisfy multiple criteria at the same time. Moreover, there are counterexamples to both the sufficiency and necessity for fairness of each criterion. I argue that we should instead understand fairness criteria as merely providing evidence of fairness. In other words, satisfaction (or violation) of these criteria should be understood as potential evidence of fairness (or bias). Whether a criterion counts as evidence in a particular case will depend on stakeholders' background knowledge and the specific features of the system's task. This evidence account of fairness conditions provides guidance for recognizing both the appropriate uses and the limitations of fairness criteria. (shrink)

Complex technologies such as Artificial Intelligence (AI) can cause harm, raising the question of who is liable for the harm caused. Research has identified multiple liability gaps (i.e., unsatisfactory outcomes when applying existing liability rules) in legal frameworks. In this paper, the concepts of shared responsibilities and fiduciary duties are explored as avenues to address liability gaps. The development, deployment and use of complex technologies are not clearly distinguishable stages, as often suggested, but are processes of cooperation and co-creation. At (...) the intersections of these stages, shared responsibilities and fiduciary duties of multiple actors can be observed. Although none of the actors have complete control or a complete overview, many actors have some control or influence, and, therefore, responsibilities based on fault, prevention or benefit. Shared responsibilities and fiduciary duties can turn liability gaps into liability overlaps. These concepts could be implemented in tort and contract law by amending existing law (e.g., by assuming that all stakeholders are liable unless they can prove they did not owe a duty of care) and by creating more room for partial liability reflecting partial responsibilities (e.g., a responsibility to signal or identify an issue without a corresponding responsibility to solve that issue). This approach better aligns legal liabilities with responsibilities, increases legal certainty, and increases cooperation and understanding between actors, improving the quality and safety of technologies. However, it may not solve all liability gaps, may have chilling effects on innovation, and may require further detailing through case law. (shrink)

Theorists commonly maintain that addiction involves compulsion or diminished self-control. Some enactivist theorists have conceptualized this disruption to autonomous agency in terms of embodied habits that become overly rigid, so that an agent enacts this pattern of behavior even in circumstances that call for the activation of a very different set of habits. What is more, because addiction crowds out other goals and priorities, agents may become more one-dimensional and begin to lose a hold on values and commitments that are (...) important to them. Rather than engaging in self-regulation to balance competing priorities and gain a better understanding of how different aspects of their identity relate to one another, agent’s lives become dominated by addictive behavior. I argue that enactivist notions of _habit_ and _self-equilibration_ can help to make sense of how the disruptions to autonomous agency characteristic of addiction are linked to diminished self-insight. (shrink)

Este manual sobre tecnologías para un envejecimiento activo y saludable, también conocido como Vida Asistida Activa (Active Assisted Living – AAL en sus siglas en inglés), ha sido creado como parte de la Acción COST GoodBrother, que se ha llevado a cabo desde 2020 hasta 2024. Las Acciones COST son programas de investigación europeos que promueven la colaboración internacional, uniendo a investigadores, profesionales e instituciones para abordar desafíos sociales importantes. GoodBrother se ha centrado en las cuestiones éticas y de privacidad (...) relacionadas con la monitorización empleando cámaras y micrófonos en entornos de provisión de cuidados. El objetivo ha sido garantizar que, mientras las tecnologías AAL ayudan a las personas mayores y a los individuos vulnerables, sus derechos de privacidad y protección de datos se mantengan como una prioridad. Este manual está diseñado para guiar en el papel que juegan las tecnologías AAL en la mejora de la calidad de vida de personas mayores, sus cuidadores y personas con discapacidades. Las tecnologías AAL ofrecen herramientas para quienes enfrentan desafíos cognitivos o físicos. Pueden mejorar la independencia, asistir en las rutinas diarias y promover un entorno de vida más seguro. Sin embargo, el aumento de estas tecnologías también plantea preguntas importantes sobre la protección de datos y la autonomía del usuario. A~través de estudios de casos prácticos, este manual explora escenarios reales en los que se aplican las tecnologías AAL. Ofrecen información sobre sus beneficios y desafíos. Se discuten situaciones en las que personas mayores han recuperado su sentido de independencia, por ejemplo, mediante el uso de sistemas de detección de caídas o dispositivos de monitorización de salud. Estas historias ofrecen una perspectiva humana de la tecnología, mostrando cómo pueden mejorar el bienestar mientras plantean cuestiones sobre la privacidad y el uso ético. El manual también destaca la importancia de tomar decisiones informadas al elegir e implementar sistemas AAL. Se enfatiza la~necesidad de que estas tecnologías equilibren seguridad y conveniencia con respeto a los derechos individuales. Encontrará información sobre cuestiones clave, incluyendo cómo seleccionar dispositivos adecuados, gestionar la configuración de privacidad y garantizar que la tecnología se integre de manera fluida en la vida diaria. Además de estos casos de estudio, el manual aborda temas importantes, como la seguridad de los datos, las consideraciones éticas y el papel de las normativas europeas, como el Reglamento General de Protección de Datos (RGPD), en la protección de la privacidad del usuario. Comprender estos aspectos es esencial para asegurar que los sistemas AAL no solo sean efectivos, sino también respetuosos de los derechos y la dignidad de los usuarios. Este recurso está destinado a una amplia audiencia, incluidos usuarios finales, cuidadores, profesionales de la salud y responsables de políticas. Proporciona orientación práctica sobre cómo integrar las tecnologías AAL en entornos de cuidados mientras se protege la privacidad y se garantiza un uso ético. Las ideas presentadas aquí buscan empoderar a los usuarios y cuidadores para que tomen decisiones informadas que mejoren tanto la calidad del cuidado como el respeto por la autonomía personal. (shrink)

The aim of this chapter is to explore the safety value of implementing Asimov’s Laws of Robotics as a future general framework that humans should obey. Asimov formulated laws to make explicit the safeguards of the robots in his stories: (1) A robot may not injure or harm a human being or, through inaction, allow a human being to come to harm; (2) A robot must obey the orders given to it by human beings except where such orders would conflict (...) with the First Law; (3) A robot must protect its own existence as long as such protection does not conflict with the First or Second Law. In Asimov’s stories, it is always assumed that the laws are built into the robots to govern the behaviour of the robots. As his stories clearly demonstrate, the Laws can be ambiguous. Moreover, the laws are not very specific. General rules as a guide for robot behaviour may not be a very good method to achieve robot safety – if we expect the robots to follow them. But would it work for humans? In this chapter, we ask whether it would make as much, or more, sense to implement the laws in human legislation with the purpose of governing the behaviour of people or companies that develop, build, market or use AI, embodied in robots or in the form of software, now and in the future. (shrink)

In this paper, I undertake a critical analysis of Martin Heidegger’s comparative understanding of man as world-forming and the animal as poor-in-world from his 1929/1930 lectures compiled in The Fundamental Concepts of Metaphysics (1983/1995). I show that Heidegger imposed this framework onto his reading of Nietzsche’s perspectival realism in Lecture 25 from Nietzsche, Volume One (1961/1991). I argue that Heidegger’s understanding of an absolute metaphysical divide between the essence of humanity and the essence of animality is severely flawed due to (...) its failure to deal with the problem of transposition and emergence. I also argue that Heidegger co-opted Jakob von Uexkull’s work regarding umwelts to suit Heidegger’s narrative of human superiority, making it antithetical to Uexkull’s project of humility. Heidegger claims to be contesting reductionist or mechanist conceptions of life and being. However, in this paper, I argue that his understanding of animal “captivation” and “disinhibiting rings” is merely a regurgitation of these same types of theories. Referencing the works of both Thomas Nagel and Uexkull, I conclude that Heidegger’s justification for the division between man and animal is circular and groundless. Despite his protestations to the contrary, it represents only an argument for anthropocentrism. (shrink)

This work presents a geometric framework for cognition, centred on a conceptual polytope, the Polynon, to explore consciousness and its relationship with physical reality. Adopting an analytic idealist view, the Polynon posits consciousness as the foundational element of existence, preceding physical phenomena. A polynonial mechanism is introduced, offering a geometric and ontological interpretation of consciousness, where both reality and the observer unfold as holographic projections. This framework maps consciousness by analyzing epistemological interactions among phenomena (sensory experience), phantasiai (internal representations), and (...) noumena (underlying reality). Cognitive gravity and gradients provide metrics for cognitive dimensions, while a continuum of perceptual dimensions is proposed, with the wavefunction in superposition linking the observer’s cognition to hidden physical realities. This model connects cognition to reality’s structure, proposing a new mechanism for the observer’s measurement. (shrink)

We propose a conceptualization and implementation of AI ethics via the capability approach. We aim to show that conceptualizing AI ethics through the capability approach has two main advantages for AI ethics as a discipline. First, it helps clarify the ethical dimension of AI tools. Second, it provides guidance to implementing ethical considerations within the design of AI tools. We illustrate these advantages in the context of AI tools in medicine, by showing how ethics-based auditing of AI tools in medicine (...) can greatly benefit from our capability-based approach. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Dialectical Tension Between Gloomy and Rosy Prospects of Behavioral GeneticsAwais Aftab, MD (bio)Turkheimer and Greer’s article “Spit for Science and the Limits of Applied Psychiatric Genetics” (2024) offers a devastating critique of the state of psychiatric genetics, using Spit for Science (S4S) as a case study. I have read the paper many times in the process of writing this commentary, and each time I am left inarticulate. Nonetheless, I (...) hope that my comments, from the point of view of a practitioner who operates at the intersection of clinical psychiatry, psychiatric science, and philosophy of psychiatry, will be of some value to the discussion. I have no substantial disagreements with Turkheimer and Greer. The main point I wish to convey is that there is reason to hope that findings from genetic research will contribute to clinical progress in psychiatry in an incremental and iterative manner, but because psychiatric genetics has overpromised and underdelivered, we find ourselves vacillating between bullish and bearish moods.Some critics may say that the choice to selectively focus on S4S is unfair, or that it gives a misleading impression of the current state of psychiatric genetics. The launch and implementation of S4S captures a particular moment in the history of psychiatric genetics when it was known that individual associations will be small and that large samples will be needed for significant associations, but it was not appreciated exactly how small and how large respectively. Initial estimates of sample sizes needed for successful genetic associations turned out to be wildly inadequate. Progress occurred only with unprecedented international collaboration and extremely large sample sizes. For example, a 2022 genome-wide association study (GWAS) of schizophrenia included more than 76,000 people with schizophrenia and 240,000 controls (Trubetskoy et al., 2022)! S4S is one project from one institution. It is understandable in retrospect that a sample of 10,000 freshmen could only have delivered so much. It may be argued that whatever the promise of psychiatric genetics as a field, it is not constrained by the success or failure of S4S.On the one hand, it is true that S4S did not have the requisite sample size. On the other hand, the contemporary understanding of the genetics of alcohol use has not improved on insights from S4S by that much (Deak et al., 2019). SNP-based heritability estimate of problematic alcohol use [End Page 451] is close to 10% based on a GWAS of 435,000 individuals (Zhou et al., 2020), consistent with statistically non-significant estimates from S4S. The same GWAS has identified 29 risk variants, and genetic correlations with more than a hundred other phenotypes. Transcriptomic analysis has revealed that implicated genes are expressed in the brain but also in gastrointestinal, adipose, and liver tissue, pointing toward pathways of protection and vulnerability. A polygenic risk score (PRS) derived from associated variants is consistently and significantly associated with alcohol dependence, with variance explained ranging from 0.77% to 2.12% in different samples (Zhou et al., 2020).At present, PRS for problematic alcohol use has little predictive value at the individual level and is practically worthless from the standpoint of clinical practice. There are hints that genetic associations can point toward brain mechanisms involved in alcohol use disorder, but we have little to show for it yet. That PRS will achieve clinical utility is not guaranteed but neither is it impossible. A PRS for externalizing behavior explains approximately 10% of the variance, which is on par with factors such as socioeconomic status and neighborhood disadvantage (Karlsson Linnér et al., 2021). And even if PRS does not become a common part of clinical practice, it can still be a useful tool in clinical research. With regard to understanding mechanisms, the trivial effect size of the genetic association is by itself irrelevant. This point is made eloquently by Steven HymanWhen used as a tool to associate a trait with biology, the effect size of the allele on the ultimate phenotype does not matter… what makes a gene product a good drug target is not the effect size of the associated allele, but its overall role in biology… Once a pathway is shown to... (shrink)

Research in the philosophy of addiction commonly explores how agency is impacted in addiction by focusing on moments of apparent loss of control over addictive behavior and seeking to explain how such moments result from the effects of psychoactive substance use on cognition and volition. Recently, Glackin et al. (2021) have suggested that agency in addiction can be helpfully analyzed using the concept of affordances. They argue that addicted agents experience addiction-related affordances, such as action possibilities relating to drugs, drug (...) paraphernalia, and drug-related activities, as aberrantly salient motivations for action. Building on this approach, we present a novel two-tiered affordance model of addiction. In doing so, we suggest that what is significant about the addicted person’s world is not simply what affordances are experienced as salient, but also the way in which the addicted person’s world is shaped by a dominant concern. It is not only that addiction-related affordances become more prominent as addiction progresses but that one’s plurality of concerns become monopolized by and funneled through addiction. Our model endorses Glackin et al.’s idea that addiction-related affordances become aberrantly salient, while proposing why they become and remain so. This way of viewing agency in addiction also brings to light important implications for recovery and treatment. For, if an addicted person adopts a new, even “socially approved,” dominant concern, there is a risk that the shape of addiction is preserved, even though the content changes, leaving an individual at the risk of addiction substitution or relapse. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Post-Genomic RevolutionA Paradigm Shift for Biopsychosocial SystemsClaude Robert Cloninger, MD, PhD (bio)The pstchologist Danielle Dick and psychiatrist Kenneth Kendler (DK) began an ongoing study in 2011 called Spit for Science (S4S) in which they obtained saliva as a peripheral source of DNA along with assessment of detailed self-report information on alcohol and other substance use, selected personality traits, and psychosocial history about the students entering a large university (...) (Dick et al., 2014). They hoped to identify the genes underlying the heritability of alcohol use and related behaviors to inform students about their individual risk, and thereby to promote increased self-awareness and health. The students were highly cooperative volunteers, and many peer-reviewed research papers have been published from these data.Eric Turkheimer, a psychologist who studies how genes and environments shape the development of human behavior (Harden et al., 2007; Loehlin et al., 2009; Turkheimer et al., 2003), reviewed all the resulting publications coming from S4S along with coauthor Sarah Greer (Turkheimer & Greer, 2024). Turkheimer and Greer (TG) were surprised to find the study has failed to identify any genes that have substantial (“nontrivial”) effects on reported levels of consumption or problems related to their use of alcohol or other substances, except for a variant of the gene for aldehyde dehydrogenase (ALDH2), which was already known to cause many people of Asian descent to flush when they drink alcohol. TG state that, “Again and again, the results of S4S investigations demonstrated tiny, and frequently null, contributions of genetics to differences in drinking and related behaviors among college students. GWAS [genome-wide association studies] revealed practically no genome-wide significant SNPs [single nucleotide polymorphisms], and the SNPs identified at less stringent levels of significance were never mentioned more than once” (Turkheimer & Greer, 2024).TG concluded that the design, execution, psychometric measures, and analysis of the data were excellent. However, they also discuss facts that raise doubts about the adequacy of the design and methods. Namely, it is an inconvenient fact, [End Page 429] but widely known, that approaches to GWAS that are frequently used in psychiatric genetics require huge samples (often hundreds of thousands) to detect statistically significant genes because the observed effects have consistently been weak whenever genes are assumed to act independently, as did DK. Consequently, polygenic risk scores are weak and inconsistent predictors of behavioral phenotypes (Zwir et al., 2020c). Nevertheless, TG fault DK and their coauthors for an overemphasis on statistical significance in large samples rather than prominently reporting that the observed effect sizes of genes were only weakly and inconsistently associated with any measured features of substance use.TG report that they were surprised by the weak and inconsistent findings from genetic variants from this GWAS because they knew that twin and family studies (i.e., what they call “genetics at altitude”) have previously found strong and consistent evidence of the heritability of phenotypes like those measured by DK. For example, in my own research with adoptees separated from their biological parents at an early age and reared by adoptive parents, the risk of alcohol abuse in adoptees was strongly predicted by alcohol abuse and related behaviors in their biological, but not adoptive, parents (Bohman et al., 1981; Cloninger et al., 1981; Sigvardsson et al., 1996) and by their childhood personality, particularly novelty seeking, when the children were followed into young adulthood (Cloninger, 1987; Cloninger et al., 1988). However, it is well-known that the methods used by DK for GWAS consistently fail to detect most of the heritable variance for behavioral phenotypes estimated in twin studies, which include much variability from complex patterns of gene–gene interaction (Table 1) (Cloninger & Zwir, 2022). This consistent observation in GWAS studies that assume genes act independently is called the missing or hidden heritability problem.Nevertheless, DK expressed optimism in 2011 that genome-wide measurement of genetic variants would identify genetic markers to predict risk of alcohol-related phenotypes in college students. They do so because they assume that all the information about heritable processes can be extracted from genome-wise scans of SNPS. The heritable phenotypes of interest in S4S included patterns of use of alcohol and other recreational... (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Setting the Scientific Bar for the Genetics of BehaviorEric Turkheimer, PhD (bio) and Sarah Rodock Greer, BA (bio)We are grateful for the opportunity to respond to such a varied and challenging set of commentaries. They range from highly supportive to quite disputatious; we will repay the supportive ones ironically, by discussing them only briefly. That will allow us to expand a bit on the more difficult comments, and of (...) course the thoughtful reply from Dr. Dick.Knox, Allen, and DownesKnox, Allen, and Downes imagine a world in which effective polygenic scores for alcohol use exist and conclude that even then there would be no way to use them ethically. We agree, for the most part, but there are several distinctions to consider. The first is among physical, medical, psychiatric, and normal-range behavioral phenotypes. Effective polygenic scores exist for height, and to a somewhat lesser extent for medical conditions like coronary heart disease. Whether or not it is a good idea to deploy them in embryo selection or clinical medicine, that is already happening.We do not think an R2 of 0.35 polygenic scores for complex behavioral phenotypes will ever exist, for all the reasons we outlined in the original paper. If we allow ourselves to imagine it happening, however, there are two explanatory pathways to follow. The first is the raw R2, and let’s stipulate that with more enormous samples or exome sequencing or whatever, respectable values are eventually achieved. The second involves the causal validity underlying black-box prediction. Scientists are taking the first step down that path (although not in Spit for Science [S4S], see the reply below to Lee and Morris) by investigating direct and indirect effects between and within families and examining the portability of polygenic scores (PGS) across environments and ancestries. The most convincing causal evidence would involve the kind of mechanistic causal biology about which enthusiasts like to speculate, but there is little sign of that.We will grant another possibility. Suppose there was a PGS for alcohol at an R2 of 0.35 that worked between families and within them, in [End Page 455] North America, South Asia, Central America, and West Africa. Animal models confirmed that it is related to specific metabolic pathways involved in alcohol. It was related but not identical to other successful PGS that predict cannabis use and other addictions. Ancient DNA studies find that it is high in human remains that were preserved next to the casks of wine that they apparently loved. Pharmacologists use it to develop effective medications for withdrawal. This hypothetical PGS, mechanistically opaque though it might remain, would exist in what Cronbach and Meehl (1955) called a nomological network. It would have construct validity, similar to a good self-report questionnaire. Like PGS for coronary heart disease, people would want to have access to construct valid PGS, and there would probably be no way to prevent people from obtaining them. We repeat that we do not expect this to happen, and as we discuss in the response to Dick below, hypothetical discussions of future scientific outcomes usually turn out to be unscientific wishcasting. It is like insisting that cities need to develop traffic control systems for flying cars.SadlerSadler is probably correct that the exigencies of grant funding explain much of what we have observed in S4S. It is certainly a more charitable explanation than the alternatives. It is interesting to consider that one of several revolutions that have occurred in the years since S4S was conceived is in the realm of scientific design and reporting. Preregistration of research hypotheses might have prevented many of the more dubious outcomes of S4S. Yet those ideas have never been applied to grant proposals, as far as we know. Grant reviews reward grandiose promises. No one has ever received funding for announcing that they hope to make incremental progress at the margins of a difficult and perhaps intractable problem. There is no mechanism to check on whether the big promises in proposals were ever fulfilled. What does get checked is whether and where investigators have published, often without regard to what the... (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Spit for Science and the Progress and Promise of Psychiatric GeneticsDanielle M. Dick, PhD (bio)In their paper “Spit for Science and the Limits of Applied Psychiatric Genetics,” Turkheimer and Rodock Greer use results from the Spit for Science (S4S) project to argue that the idea of psychiatric genetics1 yielding actionable results is a folly. Although there is much about which Turkheimer and I agree (I took my first psychology (...) class from him 30 years ago), we fundamentally disagree about the outlook of psychiatric genetics. His paper suggests that our differing conclusions arise from the authors misunderstanding the nature of the S4S project and a difference in our views on the broader purpose of psychiatric genetics.It is the characterization of S4S as a “program of research” that is the foundation for the conclusions Turkheimer and Rodock Greer draw about the unlikely potential for meaningful results from psychiatric genetics. But S4S was never intended to be a program of research. The dataset was established as a registry, owned and administered by Virginia Commonwealth University (VCU), and intended as a resource for the field. Accordingly, what is presented as a series of studies that bounce from one topic to another (which the paper mischaracterizes as resulting from “desultory progress”), actually reflects the use of the dataset by many scientific teams, including trainees and early career investigators, to explore various questions. The fact that the project attracted researchers from a diversity of fields (>140 faculty/trainees from 28 departments across VCU and 16 external collaborators) to study the many factors that impact college behavioral and emotional health is, to my mind, one of the strengths of the project.Within my own program of research, S4S is just one of many datasets with which I work; the papers included in their review account for only 3% of my more than 450 papers. Accordingly, my outlook on psychiatric genetics is not based solely, or even largely, upon S4S. As of 2021, I am no longer involved with the project, having ceded its stewardship to another VCU faculty member. Like with the other genetically informative datasets we analyze, the individual papers from S4S reflect the state of the science at the time they were initiated (often years before the eventual publication date). This fact is evident in the evolution of methods applied to S4S and would be true of a review of papers from Collaborative Study on the Genetics of Alcoholism, Avon Longitudinal Study of Parents [End Page 425] and Children, The National Longitudinal Study of Adolescent to Adult Health, the UK Biobank, or any other dataset made available as a resource for the field. Turkheimer’s paper abstract states “the negligible results have never been acknowledged,” but in fact, many papers have been devoted to discussing small effect sizes in psychiatric genetics (Gordon, 2021).The success of S4S was never intended to be evaluated based on the number of genetic loci identified. Turkheimer wrote, “S4S was not designed to investigate whether individual level genetic data might be useful at the scale of a mid-sized institution including about 10,000 students… it assumed as much.” In fact, they were correct only in the first part of that statement; studying whether individual level genetic data might be useful in a college setting (although a question I find interesting) was never the point of S4S. Turkheimer refers to the findings (of tiny effect sizes, few robust genetic loci identified) as “unexpected” and “surprising”; in fact, we find the results to be neither, as anyone following the progression of the field of psychiatric genetics would agree. The university administrators with whom we worked to launch the study never expected us to deliver actionable individual-level genetic findings. To use that as the benchmark for evaluating the success of S4S, and then to extrapolate to the larger field of psychiatric genetics, misses the point.The ways in which the S4S project made a significant contribution to the field can be found in other metrics. I am most proud of how we used a community-engaged approach (Dick, 2017) and were intentional about the recruitment of underrepresented populations (Dick et al., 2014), which were uncommon in... (shrink)

Eugen Bleuler introduced the concept of double bookkeeping in schizophrenia to describe the tendency for people who experience delusions to simultaneously be convinced of the delusional content and yet to act as if the delusion(s) was untrue/irrelevant or be unbothered by discrepancies. We open the question of whether there exists a double reality in individuals with addiction and whether double bookkeeping can be applied to addiction. While double bookkeeping has primarily been explored in schizophrenia, this concept may hold promise in (...) elucidating insight deficits in individuals with substance use disorders. We propose two forms of addiction double bookkeeping: 1) Partial compartmentalization: individuals demonstrate some awareness of the deleterious consequences of drug use, but continue to engage in addictive behaviors; and 2) Total compartmentalization: individuals who act as if the negative consequences of addiction do not exist, reflecting a more generalized and deeper lack of awareness into their own actions. We propose that a basic alteration in the individual’s sense of self occurs in addiction double bookkeeping as it does in schizophrenic double bookkeeping. We describe the proposed double reality in addiction from first-person and third-person perspectives, accounting for their differences. Three clinical exemplar cases are presented, and conceptual implications are explored. (shrink)

This paper analyzes the collaboration between healthcare professionals and algorithms in making decisions within the realm of public healthcare. By extending the concept of ‘tinkering’ from previous research conducted by philosopher Mol (Care in practice. On tinkering in clinics, homes and farms Verlag, Amsterdam, 2010) and anthropologist Pols (Health Care Anal 18: 374–388, 2009), who highlighted the improvisational and adaptive practices of healthcare professionals, this paper reveals that in the context of digitalizing healthcare, both professionals and algorithms engage in what (...) I call ‘collaborative tinkering’ as they navigate the intricate and unpredictable nature of healthcare situations together. The paper draws upon an idea that is increasingly common in academic literature, namely that healthcare professionals and the algorithms they use can form a hybrid decision-making entity, challenging the conventional notion of agency and intelligence as being exclusively confined to individual humans or machines. Drawing upon an international, ethnographic study conducted in different hospitals around the world, the paper describes empirically how humans and algorithms come to decisions together, making explicit how, in the practice of daily work, agency and intelligence are distributed among a range of actors, including humans, technologies, knowledge resources, and the spaces where they interact. The concept of collaborative tinkering helps to make explicit how both healthcare professionals and algorithms engage in adaptive improvisation. This exploration not only enriches the understanding of collaborative dynamics between humans and AI but also problematizes the individualistic conception of AI that still exists in regulatory frameworks. By introducing empirical specificity through ethnographic insights and employing an anthropological perspective, the paper calls for a critical reassessment of current ethical and policy frameworks governing human–AI collaboration in healthcare, thereby illuminating direct implications for the future of AI ethics in medical practice. (shrink)

The paper discusses the impact of artificial intelligence (AI) on the fashion industry, highlighting both its transformative potential and the ethical challenges it presents. Key ethical issues identified include privacy concerns, the need for accountability in AI decision-making, the importance of transparency and explainability in AI systems, and the risks of bias and discrimination in AI algorithms. To navigate these challenges, the paper suggests that the fashion industry should focus on protecting consumer privacy, enhancing cybersecurity, ensuring transparency, and preserving consumer (...) autonomy. It also recommends updating legal and ethical standards, conducting ethical technology assessments (eTA), and employing a technology ethical foresight (TES) approach to promote responsible AI integration. The paper emphasizes the importance of ethical AI for maintaining consumer trust and satisfaction, noting that ethical frameworks can guide the design and deployment of AI systems in a manner that upholds ethical values. The paper concludes that ethical AI is not only a moral imperative but also a strategic benefit for the fashion industry, contributing to a sustainable and favorable future. (shrink)

Theorists commonly maintain that addiction involves compulsion or diminished self-control. Some enactivist theorists have conceptualized this disruption to autonomous agency in terms of embodied habits that become overly rigid, so that an agent enacts this pattern of behavior even in circumstances that call for the activation of a very different set of habits. What is more, because addiction crowds out other goals and priorities, agents may become more one-dimensional and begin to lose a hold on values and commitments that are (...) important to them. Rather than engaging in self-regulation to balance competing priorities and gain a better understanding of how different aspects of their identity relate to one another, agent’s lives become dominated by addictive behavior. I argue that enactivist notions of habit and self-equilibration can help to make sense of how the disruptions to autonomous agency characteristic of addiction are linked to diminished self-insight. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Uselessness of Polygenic Scores for Addressing Campus DrinkingBennett Knox (bio), Hannah Allen (bio), and Stephen M. Downes, PhD (bio)Here we articulate a negative answer to Turkheimer and Greer’s question: “Is it possible to envision a genetically informed program that ethically intervenes on campus drinking?” (Turkheimer & Greer, 2024). However, first, we note that the authors cover an immense amount of ground in their paper. They lend insight into (...) how psychiatric genetics, at its very core, is conducted through their detailed examination of a large body of work in one specific area of this large field. A main result of this is to explain the gulf between results and conclusions, work that provides an invaluable service not just to various areas in philosophy and bioethics, but that are deserving of readership by a very wide audience. This gulf is explained via a careful accounting of the statistical measures used to assess the impact of genes on alcohol-related behavior in the college students sampled and comparisons between the strength of these measures and the strength and scope of conclusions drawn by the Spit for Science (S4S) researchers.A brief mention of the statistical measures in question helps set up our main focus. As Turkheimer and Greer note, before advances in sequencing technology, human behavior geneticists generated heritability coefficients for traits of interest. These coefficients were standardly produced from twin study work, which historically was the best way of getting a sense of the relative contribution of genes to a trait of interest as we cannot, or rather should not, conduct breeding experiments on humans. Current descendants of heritability coefficients come from genome-wide association studies (GWAS), which can be conducted on large groups of unrelated people. One key measure of interest arising from GWAS is a polygenic score (PGS), which “can be thought of as an observed manifestation at the individual level of the abstract variance ratio estimated by a heritability” (Turkheimer & Greer, 2024). Turkheimer and Greer focus on R2 values, which roughly “describe the magnitude of the relationship between the polygenic score and the phenotypes [of interest]” [End Page 437] (Turkheimer & Greer, 2024). They point out that the largest R2 reported in an S4S study is 6.5% (0.065). R2 are taken to be small at 0.01, medium at 0.09, and large at 0.25 in many areas of social science research but there are fields, for example, drug assay work, where only much higher R2 values are considered indication of a large effect. By this assessment, most of the R2 values reported by the S4S researchers, or calculated by Turkheimer and Greer when not reported, are very, very small, sitting well below the level of small effect of 0.01.Given these very low R2 measures, we agree with Turkheimer and Greer that S4S researchers did not uncover genetic information that could be informative, let alone actionable, for administrators concerned with campus drinking. However, it is worth asking what it would have looked like if S4S had produced such information. Suppose that S4S had been wildly successful, producing the Gattaca-like genetic information of “polygenic scores making reliable predictions that individuals had a 35% chance of developing a psychiatric disorder [here, alcoholism]” (Turkheimer & Greer, 2024). If a student was given their PGS, how are they to interpret it and act on it? How would this information be put to use by an administrator to address the problem of campus drinking?For the information to be leveraged at all, it would require consent from a significant number of students to have their PGS calculated and made available to themselves or administrators. Were scores to be calculated without active consent from the student (perhaps by using the sample provided to S4S), this would be a serious ethical violation. But even if a sufficient number of students did consent to having their PGS for alcoholism calculated, it is still not clear how this information could be used in an ethical manner to address the problem of campus drinking.If this student was already aware of a family history of alcoholism, then the PGS might do little more than quantify... (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Crushing Pressures and Radical IdeasJohn Z. Sadler, MD (bio)Back in 2011, I wrote a paper for the Journal of Bioethical Inquiry, an Australian journal, for a special issue dedicated to ethical issues associated with psychiatric genetics research. The editor was particularly excited by the recent findings of the 5-HTT allele in psychiatric illness. I had different ideas about what I wanted to write about, and the editor, Michael Robertson, (...) graciously considered them and ultimately published the paper. At the time I was interested in the colossal investment of National Institutes of Mental Health (NIMH) research dollars in psychiatric genetic research; at the time I was troubled at the lack of on-the-ground clinical implications of this research investment, and figured an Australian journal and referees would be more generous to a critical paper on U.S. funding priorities. I dug into the National Institutes of Health (NIH), NIMH, and National Science Foundation websites and found some crude dollar evidence of respective expenditures for research funding in various disorders and focus areas, and compared these investments to psychiatric genetic research funding commitments. I will not go into details (Sadler, 2011), but the gist was that the psychiatric genetics research enterprise was and had been an extraordinarily expensive enterprise, when other research questions that could be immediately implementable into clinical care improvements remained marginally funded at best. The paper was not read widely and other than a couple of annoyed responses from psychiatric genetic researchers, not much came of it.This concern about funding priorities was one of the reasons why I was pleased to see this paper by Turkheimer and Greer which explores the long term results of the Spit for Science (S4S) initiative, which was launched grandly the same year as my paper’s whisper from down under. I hope this Philosophical Case Conference explores the many dimensions of interest for this paper, which is extraordinarily careful and even handed in its attitude, while at the same time being incisive in its analysis.My focus here is not in the science per se, which is beyond my competence. I’m interested in Turkheimer and Greer’s (T&G) conceptual overview of this research program. More specifically, I focus on T&G’s highlighting of the extraordinary willingness of the S4S authors to interpret prevailingly negative results in the most generous, even misleading, degree possible. I try to provide some possible ways of understanding this kind of research rhetoric exhibited by a cohort of highly respected, very successful scientists.I acknowledge the well-described varieties of interpretive bias that all of us are subject to. First on the list must be confirmation bias, our tendency to interpret situations in terms consistent [End Page 447] with our preconceived notions—in this case, the idea that genetics has something important to do with addictive disorders. Another might be epistemic overconfidence—the tendency to fail at interpretive skepticism in favor of one’s preferred conclusion. Related to this may also be interpretive momentum, the tendency to maintain a conviction about the correctness of one’s expectations and disregard inconsistent findings over the course of a research program—in this case, the multiple S4S studies (O’Sullivan & Schofeld, 2018). However, these kinds of biases tend to “blame” the individual authors’ thinking styles. I opine, though, that other vectors shaping the declaring-success rhetoric are more important.These sources have to do with the state of practice in doing biomedical science research in universities and particularly academic medical centers (AMCs) today. I identify several causal vectors that compel, however subtly, researchers to declare success in the face of failure. I have only picked three, and in no order of importance: 1) funding caps for NIH grants, 2) the overleveraging of university budgets and ballooning dependence on soft money, and 3) the incentivizing of intellectual property development within AMCs.Funding Caps for NIH GrantsIf you are a university or AMC, one way you hold onto your most productive scientists (e.g., grants, publications, discoveries, and status) is by paying them well. Single NIH grants today commonly amount to millions of dollars, and often tens of millions. These bring... (shrink)

This note effectively presents several arguments for the soundness of A-theories, and that their two series are required for a complete description of time in physics. -/- The paper makes several key contributions: First, it establishes an empirical basis for distinguishing A-series and B-series time through direct experience and observation. Second, it presents an important check on this result in giving five mini-arguments that A-theories should indeed be right. Third, it gives a novel kind of argument leading to falsifiable predictions. (...) Fourth it gives a detailed account of clocks in this theory: sundials, analogue, digital, and atomic. Fifth it connects the clocks of a computer to the clocks of its software. (shrink)

The integration of generative artificial intelligence (AI), particularly large language models like ChatGPT, presents new challenges as well as possibilities for scientific authorship. This paper draws on social systems theory to offer a nuanced understanding of the interplay between technology, individuals, society and scholarly authorial practices. This contrasts with orthodoxy, where individuals and technology are treated as essentialized entities. This approach offers a critique of the binary positions of sociotechnological determinism and accelerationist instrumentality while still acknowledging that generative AI presents (...) profound challenges to existing practices and meaning making in scientific scholarship. This holistic treatment of authorship, integrity, and technology involves comprehending the historical and evolutionary entanglement of scientific individuality, scientific practices, and meaning making with technological innovation. This addresses current needs for more robust theoretical approaches to address the challenges confronted by academicians, institutions, peer review, and publication processes. Our analysis aims to contribute to a more sophisticated discourse on the ethical and practical implications of AI in scientific research. (shrink)

This paper interprets Ortega y Gasset’s Meditations on Hunting (1972) through the concept of cognitive scaffolding in order to analyse the relationship between hunter and hunting dog as a form of inter-species distributed cognitive system. In recreational hunting, the hunter and the dog engage in a reciprocal process of mutual cognitive scaffolding that transforms both their capacities. It is further argued that this scaffolding also serves as a means of affective regulation, and that it is the affective rather than the (...) cognitive features of the system that point to the function of the scaffolding. Namely, the production of an affective state in the hunter. We detail the ways in which the cognitive and affective features of the scaffold operate and interrelate. We then explore the role of the game-animal in the affective functioning of the scaffold and consider that the hunter-dog system might represent a harmful form of scaffolding. (shrink)

I consider applications of “AI extenders” (Vold & Hernández-Orallo 2021) to dementia care. AI extenders are AI-powered technologies that extend minds in ways interestingly different from old-school tech like notebooks, sketch pads, models, and microscopes. I focus on AI extenders as ambiance: so thoroughly embedded into things and spaces that they fade from view and become part of a subject’s taken-for-granted background. Using dementia care as a case study, I argue that ambient AI extenders are promising because they afford richer (...) and more durable forms of multidimensional integration than do old-school extenders like Otto’s notebook. They can be tailored, in fine-grained ways along multiple timescales, to a user’s particular needs, values, and preferences — and crucially, they can do much of this self-optimizing on their own. I discuss why this is so, why it matters, and its potential impact on affect and agency. I conclude with some worries in need of further discussion. (shrink)

Imagine that you are given access to an AI chatbot that compellingly mimics the personality and speech of a deceased loved one. If you start having regular interactions with this “thanabot,” could this new relationship be a continuation of the relationship you had with your loved one? And could a relationship with a thanabot preserve or replicate the value of a close human relationship? To the first question, we argue that a relationship with a thanabot cannot be a true continuation (...) of your relationship with a deceased loved one, though it might support one’s continuing bonds with the dead. To the second question, we argue that, in and of themselves, relationships with thanabots cannot benefit us as much as rewarding and healthy intimate relationships with other humans, though we explain why it is difficult to make reliable comparative generalizations about the instrumental value of these relationships. (shrink)

In the wake of recent advancements in the field of AI, this paper investigates the impact of recommender systems and generative models on human decisional and creative autonomy. For this purpose, we adopt Dennett’s conception of autonomy as self-control. We show that recommender systems can play a double role in relation to decisional autonomy: as information filter, they can augment self-control in decision-making, but also act as mechanisms of remote control that clamp degrees of freedom. As for generative models in (...) AI, we show that they can be seen as a powerful system of selection and suggestion (similar to standard recommender systems) but also as an instrument for information production. We suggest that the latter perspective opens new possibilities in terms of creative autonomy. Additionally, for both systems we propose a distinction between “extrinsic” and “intrinsic” mechanisms and effects. Through Dennett’s theory of self-control, this paper offers new insights into the relation between AI and human autonomy by framing it in terms of remote or self-control and by addressing the impact of generative models on creative autonomy. (shrink)

The project is aimed at an arduous task of precise identification of medicinal plant species with the problem being pertinent in those industries that include botany, Ayurveda, pharmacology, and biomedical research. Most of the traditional identification methods are quite serious challenges for users, researchers, and students because they are usually time-consuming, knowledge-intensive, and prone to human errors. Our proposal develops an advanced web-based application for this process by utilizing state-of-the-art methods in image processing and machine learning. We will create a (...) platform where users can upload or take pictures of plant specimens and obtain accurate identifications and comprehensive medical information by using machine learning algorithms with plant species image datasets. This application is done in a way that the interface would be user-friendly and favor research, identification, and learning, especially for Ayurvedic practitioners, biomedical specialists, botanists, and students. Therefore, our project is aimed at developing an exhaustive and reliable solution for medicinal plant identification and study by overcoming the deficiencies of existing systems, such as a small dataset, poor variable quality, and lack of complete medicinal information. (shrink)

This essay defends an account of what things are assessable for reasonableness and why. On this account, something is assessable for reasonableness if and only if and because it is the functional effect of critical reasoning.

Philosophers provide excellent resources for developing a science of virtues, and an interdisciplinary collaboration between philosophers and psychologists seems ideal. This suggestion is not new, but there has been little guidance for psychologists about how philosophical work can be useful in developing a science of virtue. This article provides some guidance by dividing the contributions of philosophers into three categories. First, many philosophers provide theories of virtue’s nature or value, but these are generally not useful for psychological scientists and can (...) be safely ignored. Second, awareness of the range of philosophic positions can enable scientists to recognize contentious theoretical assumptions that they are making. Psychologists need not try to resolve these debates; they can choose to only identify which position(s) they are taking. Third, awareness of the range of philosophic positions and the competing conceptual analyses of various virtue concepts and traits can help psychologists to identify and test new empirical hypotheses. (shrink)

Many social media platforms enable (nearly) anyone to post (nearly) anything. One clear downside of this permissiveness is that many people appear bad at determining who to trust online. Hacks, quacks, climate change deniers, vaccine skeptics, and election deniers have all gained massive followings in these free markets of ideas, and many of their followers seem to genuinely trust them. At the same time, there are many cases in which people seem to reliably determine who to trust online. Consider, for (...) example, Do It Yourself (DIY) content about how to play guitar, bake, fix one’s plumbing, or repair one’s car. For these topics, those who have the largest accounts and the most popular content typically possess significant expertise. That is, social media users seem to reliably pick out DIY experts. We thus have a puzzle: why are social media users seemingly competent at identifying DIY experts, but not climate science or vaccine experts? In what follows, we solve this puzzle. We begin by identifying a novel wisdom of the crowds phenomenon: specifically we argue that the crowd (in combination with social media search and recommendation algorithms) reliably picks out DIY experts and serves as a credentialing institution for DIY content. Next, we argue that (a) there are five epistemic factors that determine whether the crowd can succeed at recognizing experts on social media platforms, and (b) while many of those factors are satisfied to a sufficiently high degree by DIY content, they are mostly lacking for content about climate change or vaccines. (shrink)

Proper names—expressions such as “Barack Obama” or “New York”—play a crucial role in the philosophical debate on reference, that is, the relation that allows words to stand for entities of the world. In an elicited production test, Devitt and Porot prompt participants to use proper names to compare the Descriptivist Theory and the Causal‐Historical Theory on proper names’ reference. According to the Descriptivist Theory, names refer to the entity that fulfills the description that speakers associate with them. In contrast, the (...) Causal‐Historical Theory holds that names refer to the entity at the origin of the causal‐historical chain of uses, regardless of any description. Devitt and Porot consider a criticism of their work, which they call “New‐Meaning objection”: upon reading the vignette, the participant gains access to some facts unknown to the people within the fictional scenario. As a consequence, the descriptivist participant may undertake the elicited production test by relying upon a new meaning that is in force within a linguistic community “in the know.” In that case, the Descriptivist Theory predicts the same name usage as the Causal‐Historical Theory. While Devitt and Porot address the objection also with a follow‐up experiment, they consider the criticism theoretically flawed, arguing that names do not change meaning any time speakers acquire new information about the world. In this article, I argue that, contrary to Devitt and Porot's claim, their vignette inclines the descriptivist participant to assume that the name has acquired a new meaning. (shrink)

. Thyroid diseases represent a significant global health concern, necessitating accurate and timely diagnostic methods for effective treatment. Traditional diagnostic approaches often rely on complex blood tests and imaging techniques that can be challenging to interpret. This paper explores the application of machine learning (ML) and deep learning (DL) techniques, particularly Vision Transformers (ViT), for thyroid disease detection. We conducted a comprehensive literature survey that highlights various studies employing ML and DL models, revealing high accuracy rates but also significant limitations (...) such as small sample sizes and dataset imbalances. Our research methodology involved creating a custom dataset, preprocessing images, and developing robust models using both ML algorithms and advanced DL architectures. Furthermore, we discuss the implications of our findings for clinical practice and propose future research directions to enhance diagnostic capabilities. This study underscores the potential of leveraging AI technologies to improve the accuracy of thyroid disease detection while addressing existing challenges in traditional diagnostic methods, ultimately contributing to better patient outcomes in thyroid health management. (shrink)

The research program Spit For Science was launched at Virginia Commonwealth University (VCU) in 2011. Since then, more than 10,000 freshmen have been enrolled in the program, filling out extensive questionnaires about their drinking, general substance use, and related behaviors, and also contributing saliva for genotyping. The goals of the program, as initially stated by the investigators, were to find the genes underlying the heritability of alcohol use and related behaviors, and in addition to put genetic knowledge to work in (...) ways that might aid university administrators and mental health professionals in the prevention and treatment of substance abuse. We review every empirical paper involving genetic data that has emerged from the program, and reach a surprising conclusion: the study has never identified a single genetic effect of more than trivial magnitude. Although the quantitative results of the studies were reported transparently, the theoretical ramifications of the negligible results have never been acknowledged. To the contrary, most of the papers ignore the tiny effects, reaching optimistic conclusions about the prospects for future genetic explanations of alcohol use. We explore the implications of these results for the broader prospects of applied psychiatric genetics. (shrink)

Chris Letheby, Jaipreet Mattu, and Eric Hochstein try to put an end to the “mysticism wars,” by which they mean the battle between psychedelic researchers who hold that mystical concepts ought to be employed in attempts to describe and understand psychedelic experiences and those who do not hold this. Letheby, Mattu, and Hochstein side with the former and do so on the grounds that (as they put it), “there are no good reasons to abandon mystical concepts in psychedelic science, and (...) plenty of good reasons to keep them.” At bottom, they contend that critiques of the pro-mystical-concepts view can be solved via clarifying concepts and recognizing basic (though significant) distinctions. And though they grant that mystical concepts may one day be superseded in the science of psychedelics, they maintain that this should not occur on the basis of a misplaced conceptual critique, as is (they maintain) the present-day critique of the pro-mystical-concepts view. (shrink)

The chapter undertakes three main tasks. The first is to review, briefly, the history of psychedelics in psychiatry, including the phenomenological and behavioural effects that first led to their being studied for therapeutic purposes. The second is to give an overview of recent research into the safety, efficacy, and therapeutic mechanisms of psychedelic-assisted psychotherapy. The third is to summarize the contributions of each of the chapters collected in this volume and show how they address philosophical issues arising from the new (...) wave of psychedelic psychiatry. The topics of these chapters cluster around three broad themes, in terms of which the volume is organized: ‘Self and Mind’, ‘Science and Psychiatry’, and ‘Ethics and Spirituality’. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Peculiarly Favored Condition of GeneticsJames J. Lee, PhD (bio) and Damien Morris, MSc (bio)Turkheimer and Greer (2024) (henceforth “T&G”) make some fair points about problems in the scientific profession, including the regrettable tendency to promise practical applications of research that then never materialize. However, T&G’s sustained critique of a body of work associated with one particular researcher to make these general points struck us as uncharitable. More pressingly, (...) we feel that the far-reaching conclusions that T&G attempt to draw from the results they review from the Spit for Science (S4S) cohort are unjustified and risk misleading readers that psychiatric and behavioral genetics is in a parlous state.T&G state that S4S “produced a clear answer to the question it was designed to address,” namely, that its results “unambiguously contradict the hypothesis that alcohol-related behaviors have a meaningful genetic basis.” But S4S cannot possibly have provided affirmative evidence for the null hypothesis, because as a single cohort it lacked the statistical power to do so. Elsewhere T&G acknowledge that the sample size of S4S does not suffice for many purposes; they cannot have it both ways. When GCTA has been applied to samples of greater size, it has unambiguously supported the hypothesis that alcohol-related behaviors have a meaningful genetic basis. The UK Biobank yielded estimates exceeding 0.10 for the contribution of single nucleotide polymorphisms (SNPs) with minor allele frequency of greater than 0.05 to the heritability of drinks per week, estimates more than ten times their standard errors (Liu et al., 2019).This heritability contributed by common variants is sometimes called “SNP heritability,” and T&G disparage it for the alleged “disadvantage of being substantially smaller” than “twin and family heritabilities.” Nowhere do T&G consider what the precise numbers actually mean—an approach that can be hazardous to your scientific health, as the late John Loehlin might have said. Let us, then, consider these numbers. Under a model of pure neutrality, SNP and pedigree narrow-sense heritabilities should be fairly close, essentially as a result of factors p(1 − p) canceling in the multiplication of the numbers of SNPs to be found at a given allele frequency by the average heritability contributed per SNP (Hill, 2010). If SNP and pedigree heritabilities are not close, then natural selection must have been acting on [End Page 441] the trait, preventing new mutations of large effect from becoming common and thereby concentrating heritability at allele frequencies lower than those typically studied in genome-wide association studies (GWAS). This deduction has been abundantly confirmed: the tendency of GWAS SNPs to reside in evolutionarily conserved regions (Finucane et al., 2015; Kim et al., 2019), the younger age of GWAS SNPs when compared to control SNPs of comparable frequencies (Gazal et al., 2017), the discovery of several rare variants with larger effects than those observed in typical GWAS (Barton et al., 2021; Chen et al., 2023; Marouli et al., 2017), the directly measured deleterious fitness effects of mutations in evolutionarily constrained genes (Gardner et al., 2022), and the substantial additional genetic variance accumulated when rare variants are included in GCTA-type studies, sometimes enough to close the gap between SNP and pedigree heritabilities (Evans et al., 2018; Jang et al., 2022; Pathan et al., 2024; Wainschtein et al., 2022).The genetic architecture of a typical quantitative trait consists of many sites across the genome that can mutate to affect it, numbering potentially in the millions (Agarwala et al., 2013; Zeng et al., 2021), of which those that are common SNPs have very small effects as a result of selection. This is the message, but T&G seem to find fault with the messenger, painting “tiny” effect sizes as an embarrassment to the field of behavioral genetics as a whole. We prefer to view the finding of high polygenicity as a revelation about nature, rather than as a debating point. What is this finding telling us? If one takes the action of stabilizing selection as the initial assumption (Uyeda et al., 2011), then the extreme polygenicity revealed by GWAS becomes part of the answer to the question regarding how traits can... (shrink)

Psychopathy is increasingly in the public eye. However, it is yet to be fully and effectively understood. Within the context of the DSM-IV, for example, it is best regarded as a complex family of disorders. The upside is that this family can be tightly related along common dimensions. Characteristic marks of psychopaths include a lack of guilt and remorse for paradigm case immoral actions, leading to the common conception of psychopathy rooted in affective dysfunctions. An adequate portrait of psychopathy is (...) much more complicated, however. Though some neural regions and corresponding functions are commonly indicated, they range across those responsible for action planning and learning, as well as emotional processes. Accordingly, a complete fine-grained map of all neural mechanisms responsible for psychopathy has not been realized, and even if it were, such a map would have limited utility outside of the context of surgical or chemical intervention. The utility of a neural-level understanding of psychopathy is further limited by the fact that it is only applicable in the clinical identification of individual subjects, and the neuro-chemical/biological correction of those subjects after they are positively identified as psychopaths. On the other hand, an information processing model of moral cognition provides for wider-ranging applications. The theoretical and practical implications for such a feasible working model of psychopathic personalities are assessed. Finally, this chapter raises the possibility of directed modification of social-environmental factors (including at the meta-organizational level) discouraging the development of psychopathic personalities in the first place, modifications which are also open to simulation and testing in terms of the same model of moral cognition. (shrink)

The convergence of humans and artificial intelligence (AI) systems introduces new dynamics into the cultural and intellectual landscape. Complementing emerging cultural evolution concepts such as machine culture, AI agents represent a significant techno-sociological development, particularly within the anthropological study of Web3 as a community focused on decentralization through blockchain. Despite their growing presence, the cultural significance of AI agents remains largely unexplored in academic literature. Toward this end, we conceived hybrid netnography, a novel interdisciplinary approach that examines the cultural and (...) intellectual dynamics within digital ecosystems by analyzing the interactions and contributions of both human and AI agents as co-participants in shaping narratives, ideas, and cultural artifacts. We argue that, within the Web3 community on the social media platform X, these agents challenge traditional notions of participation and influence in public discourse, creating a “hybrid marketplace of ideas”—a conceptual space where human- and AI-generated ideas coexist and compete for attention. We examine the current state of AI agents in idea generation, propagation, and engagement, positioning their role as cultural agents through the lens of memetics and encouraging further inquiry into their cultural and societal impact. Additionally, we address the implications of this paradigm for privacy, intellectual property, and governance, highlighting the societal and legal challenges of integrating AI agents into the hybrid marketplace of ideas. (shrink)

This study examines the expanding field of medical tourism with an emphasis on strategies for marketing and entrepreneurship. The literature on the entrepreneurial components of medical tourism and the contribution of artificial intelligence (AI) to enhancing healthcare services and attracting medical tourists from across the world will be examined. Through the Web of Science database, a thorough literature analysis was carried out using keywords associated with marketing, entrepreneurship, medical tourism, and AI. In order to provide more comprehensive conclusions about the (...) sector, the research combines the results of many regional studies. The study identifies key elements that impact medical tourism, such as strategies for marketing, cultural aspects, and infrastructure. In order to improve healthcare services and bring in foreign patients, it points out successful case studies from nations like Malaysia, China, and Iran, highlighting the need for encouraging entrepreneurial ecosystems and productive government cooperation. The research comes to the conclusion that increasing healthcare access and quality requires the medical tourism business. In order to maximize patient experiences and eventually promote development in the medical tourism industry, it emphasizes the significance of customized marketing techniques and the use of AI technology. (shrink)

Mirrors are more than reflective surfaces; they are portals to self-perception influenced by a tapestry of developmental, psychological, and cultural factors. In this paper, we explore the interplay between these factors by investigating the effect of beliefs on mirror images and clarifying how negative self-perception develops. We analyse the phenomenon of mirror self-recognition and the development of beliefs about oneself, attempting to clarify how emotionally charged beliefs could influence our experience with the mirror. Our proposal offers insights into body dysmorphia (...) disorders, emphasizing the importance of the interaction between belief and self-perception in this and related disorders. (shrink)

This proposal introduces a novel decision-making framework to advance safe economic activities in cyberspace. We focus on identifying anomalies within crypto-asset trading, recognized as potential sources of criminal activity, severely undermining the credibility of such assets. Detecting and mitigating such anomalies holds significant societal implications, particularly in fostering trust within blockchain networks. We aim to bolster the “social trust” inherent to blockchain technology by facilitating informed economic activities in cyberspace. To achieve this, we propose integrating two artificial intelligence (AI) systems (...) into a blockchain-based decentralized autonomous organization (DAO). The first AI application involves amalgamating various anomaly indicators, spanning from cluster coefficient, entropy, triangular motif analysis, correlation tensor analysis, loop component by Hodge decomposition, loop causality detection, network classification using graph Laplacian, and persistent homology analysis, into a comprehensive indicator using a Boltzmann machine. The second AI application entails deploying conversational AI to guide and support traders, aiding them in making informed trading decisions. This system is designed to alert DAO members to anomalies based on the integrated indicators, especially during massive price fluctuations. We operate under the assumption of close collaboration between governments, experts, traders, system developers, and operators to effectively organize DAOs. The primary technical challenge in our proposal lies in developing a wallet assisted by an intelligent software agent capable of safe interactions with traders within a unified DAO. With this organization, we envision fostering a global economic ecosystem where physical and cyber worlds converge, allowing democratic economic participation. (shrink)

There has been a surge of interest in explainable artificial intelligence (XAI). It is commonly claimed that explainability is necessary for trust in AI, and that this is why we need it. In this paper, I argue that for some notions of trust it is plausible that explainability is indeed a necessary condition. But that these kinds of trust are not appropriate for AI. For notions of trust that are appropriate for AI, explainability is not a necessary condition. I thus (...) conclude that explainability is not necessary for trust in AI that matters. (shrink)

Learning Analytics (LA)-based feedback applications are becoming increasingly important in higher education institutions (HEIs). However, the impact of such systems on student autonomy is contested in parts of the research debate, where hopes and ambitions of learner autonomy and self-regulated learning are confronted with fears that learners are being reduced to mere numeric constructs and are caught up in neoliberal demands to self-optimize. We explore these challenges from the debate with a focus on automated, LA feedback systems in HEIs and (...) their impact on student autonomy. As we show, such technologies must be seen within a field of tension between heteronomous (i.e., contextual and societal) demands and autonomous, self-organized learning. Aiming to bridge the critical parts of the debate with those that highlight the potential of such technologies, we build upon meaningful conceptions of limited, situated autonomy and explore what it would mean for such feedback systems to strengthen, not undermine student autonomy. To make the concept of student autonomy applicable, we propose a list of philosophical design considerations for LA-based feedback systems. We believe that this will offer a philosophically informed intellectual tool to address common concerns raised by parts of the debate and that it can encourage further discussion on recognizing, promoting, and preserving student autonomy in higher education. (shrink)

Esta monografia faz parte de uma pesquisa de Iniciação Científica (IC) atualmente em curso, com financiamento da FAPESP (processo 2023/04313-5) até 31/12/2024.A pesquisa de IC em questão, intitulada “Como fazer ciência da cognição? O problema do método científico nas ciências cognitivas na perspectiva do naturalismo anti-reducionista das epistemologias de Quine e Sellars”, pretende caracterizar e articular os conceitos de ciência e de cognição a partir das epistemologias naturalizadas de Willard von Orman Quine (1951/1961 e 1969) e Wilfrid Sellars (1956/1963 e (...) 1962/1963). Estamos examinando se uma perspectiva naturalista e anti-reducionista, adotada em ambas nas teorias epistemológicas desses filósofos, é de fato adequada para responder ao problema filosófico de como estabelecer critérios adequados para conhecer cientificamente a cognição. Assim, estamos pesquisando, no desenvolvimento da IC, como a epistemologia naturalizada contribui para lidar com o problema de como é possível conhecer objetivamente um objeto de investigação científica que é, por excelência, subjetivo. É a partir desse problema de pesquisa que elaboramos o recorte bibliográfico desta monografia. Neste texto, que é simultaneamente um trabalho final de disciplina (Monografia I - HG770 K, 1s2024) e a primeira versão de uma monografia a ser aprimorada e expandida no segundo semestre de 2024 com auxílio da disciplina de Monografia II (HG 870), pretendo comparar os naturalismos epistemológicos de Hume e Quine quanto à natureza da cognição. Ou seja, pretendo comparar como Hume e Quine concebem, no interior de suas respectivas epistemologias, que são naturalizadas, aquilo que geralmente chamamos de ‘mente’ ou, às vezes, de ‘alma’. Na segunda e última versão da monografia, a ser desenvolvida no semestre que vem, pretendo incluir o naturalismo epistemológico de Aristóteles na comparação, e pretendo também incluir, embora brevemente e com auxílio de bibliografia contemporânea sobre o assunto, alguns resultados da pesquisa de IC relativos à epistemologia naturalizada de Sellars, o outro autor principal do projeto de IC, e algumas de suas teses em Filosofia da Mente, na expectativa de isso seja de alguma forma útil ao empreendimento de compreender a trajetória histórica pela qual percorreu o naturalismo até o século XX. Esta monografia, portanto, pretende recuperar as epistemologias de dois importantes precursores de Quine, as de Hume e Aristóteles, comparando-as com o programa quineano de naturalização da epistemologia e preparando o terreno para a uma pesquisa futura quanto aos sucessores de Quine nesse programa, inclusive Sellars. Desse modo, espero que esta monografia contribua positivamente para o desenvolvimento de uma das partes da pesquisa de IC no sentido de investigar possíveis bases históricas a partir das quais o naturalismo epistemológico floresceu no século XX. (shrink)

Educational disparities between traditional and non-traditional student groups in higher distance education can potentially be reduced by alleviating social identity threat and strengthening students’ sense of belonging in the academic context. We present a use case of how Learning Analytics and Machine Learning can be applied to develop and implement an algorithm to classify students as at-risk of experiencing social identity threat. These students would be presented with an intervention fostering a sense of belonging. We systematically analyze the intervention’s intended (...) positive consequences to reduce structural discrimination and increase educational equity, as well as potential risks based on privacy, data protection, and algorithmic fairness considerations. Finally, we provide recommendations for Higher Education Institutions to mitigate risk of bias and unintended consequences during algorithm development and implementation from an ethical perspective. (shrink)

Abstract:This article examines the incorporation of applied ethics into artificial intelligence (AI) within Chilean university curricula, emphasizing the urgent need to implement an integrated framework of action. Through a documentary analysis, it becomes evident that most higher education programs do not explicitly include AI ethics courses in their curricula, highlighting the need for institutionalizing this integration systematically. In response, we propose an approach grounded in feminist science and data feminism, advocating for the inclusion of diverse perspectives and experiences in the (...) teaching of applied ethics. This framework aims not only to enhance the integration of ethics into the curriculum but also to prepare students to address ethical dilemmas in complex sociotechnical contexts, underscoring the importance of applied ethical reasoning in AI-related disciplines. -/- Keywords: AI ethics, professional ethics, sociotechnics, feminist epistemology, diversity. -/- Resumen: Este artículo examina la incorporación de la ética aplicada a la inteligencia artificial (IA) en los currículos universitarios chilenos, destacando la urgencia de implementar un marco de acción integrado. Mediante un análisis documental, se evidencia que la mayoría de los programas de educación superior no declaran cursos de ética en IA en sus currículos, lo que alerta sobre la necesidad de sistematizar esta integración institucionalmente. En respuesta, proponemos un enfoque basado en el feminismo en la ciencia y el feminismo de datos, promoviendo la inclusión de diversas perspectivas y experiencias en la enseñanza de la ética aplicada. Este marco busca mejorar la integración de la ética en el currículo y también preparar a los estudiantes para resolver dilemas éticos en contextos sociotécnicos complejos, reforzando la necesidad del razonamiento ético aplicado en la formación en disciplinas asociadas a la IA. -/- Palabras clave: ética de IA, ética profesional, sociotecnología, epistemología feminista, diversidad. (shrink)

Learning Analytics und Künstliche Intelligenz in der Hochschulbildung versprechen individualisierte und personalisierte Verbesserung des Lernens und Lehrens. Bildungstechnologien bieten aus ethischer Perspektive jedoch nicht nur Verbesserungspotentiale und -chancen, sondern sie bringen auch Risiken und potenzielle Gefahren mit sich, für das Individuum, aber auch für die Gesellschaft als Ganzes. Eine ethische Reflexion und Diskussion der Chancen und Risiken ist für eine ethisch vertretbare Gestaltung, Implementierung und Nutzung von solchen Technologien von fundamentaler Bedeutung, wie z. B. im Rahmen des Projekts KI:edu-nrw an (...) der Ruhr-Universität Bochum. Eine solche Reflexion und Diskussion bedarf allerdings gewisser ethischer Basiskompetenzen. Das Teilprojekt Ethik entwickelte ein Konzept tugendethischer Kompetenzbildung, um u. a. disziplinäre Barrieren abzubauen sowie um Praktizierenden Basiswerkzeuge der ethischen Reflexion und Entscheidungsfindung in ihren jeweiligen Anwendungskontexten bereitzustellen. In diesem Beitrag stellen wir sowohl die theoretischen Fundamente unseres Ansatzes als auch den Prozess und die Ergebnisse unserer Arbeit dar. (shrink)

The apparent downsides of opaque algorithms has led to a demand for explainable AI (XAI) methods by which a user might come to understand why an algorithm produced the particular output it did, given its inputs. Patients, for example, might find that the lack of explanation of the process underlying the algorithmic recommendations for diagnosis and treatment hinders their ability to provide informed consent. This paper examines the impact of two factors on user perceptions of explanations for AI systems in (...) medical contexts. The factors considered were the stakes of the decision—high versus low—and the decision source—human versus AI. 484 participants were presented with vignettes in which medical diagnosis and treatment plan recommendations were made by humans or by AI. Separate vignettes were used for high stakes scenarios involving life-threatening diseases, and low stakes scenarios involving mild diseases. In each vignette, an explanation for the decision was given. Four explanation types were tested across separate vignettes: no explanation, counterfactual, causal and a novel ‘narrative-based’ explanation, not previously considered. This yielded a total of 16 conditions, of which each participant saw only one. Individuals were asked to evaluate the explanations they received based on helpfulness, understanding, consent, reliability, trust, interests and likelihood of undergoing treatment. We observed a main effect for stakes on all factors and a main effect for decision source on all factors except for helpfulness and likelihood to undergo treatment. While we observed effects for explanation on helpfulness, understanding, consent, reliability, trust and interests, we by and large did not see any differences between the effects of explanation types. This suggests that the effectiveness of explanations may not depend on type of explanation but instead, on the stakes and decision source. (shrink)