This book provides a collection of ten cases for use in the middle grades that focus on many of the critical social issues we face today.

In this article, the potential for Artificial Intelligence (AI) to be appraised as an object of beauty is critically examined through the lens of philosophical thought. Tracing beauty’s evolution from Platonic ideals to contemporary interpretations, the analysis contends that AI’s emergence offers a unique illustration of beauty in the modern age. Confronting the challenge of assigning beauty to entities devoid of consciousness or emotional depth, the argument unfolds to suggest that the intricate design of AI’s algorithms and its technological advancements (...) constitute an emergent form of beauty, one inherently tied to human intellectual endeavor. The article proposes that with time, as with historical art forms, the aesthetic qualities of AI may gain broader acknowledgment, implying that technological advancements necessitate an ongoing revision of established beauty norms. The historical evolution of beauty has been traced in details, and an extended literature review has been provided, serving as the foundation for a comprehensive exploration into the potential for AI to be recognized as an object of beauty. The harmony, elegance, and problem-solving capabilities of AI algorithms have been meticulously evaluated, with a comparison made to classical elements of beauty in an effort to contextually situate AI within longstanding aesthetic traditions. Furthermore, the analysis has been extended to consider the emergence of artificial and digital beauty, alongside an investigation into the parallels drawn between divine and artificial intelligence. As part of a deeper inquiry, the possibility of human emotions, such as awe and love, being authentically directed towards AI has been scrutinized. In conclusion, a reflection has been presented on the transformative role of AI in reimagining the conceptual landscape of beauty, prompting readers to thoughtfully engage with an extended review and the philosophical and cultural implications emerging from AI’s evolving influence on the field of aesthetics. (shrink)

Artificial intelligence (AI) is becoming part of the everyday. During this transition, people’s intention to use AI technologies is still unclear and emotions such as fear are influencing it. In this paper, we focus on autonomous cars to first verify empirically the extent to which people fear AI and then examine the impact that fear has on their intention to use AI-driven vehicles. Our research is based on a systematic survey and it reveals that while individuals are largely afraid of (...) cars that are driven by AI, they are nonetheless willing to adopt this technology as soon as possible. To explain this tension, we extend our analysis beyond just fear and show that people also believe that AI-driven cars will generate many individual, urban and global benefits. Subsequently, we employ our empirical findings as the foundations of a theoretical framework meant to illustrate the main factors that people ponder when they consider the use of AI tech. In addition to offering a comprehensive theoretical framework for the study of AI technology acceptance, this paper provides a nuanced understanding of the tension that exists between the fear and adoption of AI, capturing what exactly people fear and intend to do. (shrink)

In a very short time, it is likely that we will identify many of the genetic variants underlying individual differences in intelligence. We should be prepared for the possibility that these variants are not distributed identically among all geographic populations, and that this explains some of the phenotypic differences in measured intelligence among groups. However, some philosophers and scientists believe that we should refrain from conducting research that might demonstrate the (partly) genetic origin of group differences in IQ. Many scholars (...) view academic interest in this topic as inherently morally suspect or even racist. The majority of philosophers and social scientists take it for granted that all population differences in intelligence are due to environmental factors. The present paper argues that the widespread practice of ignoring or rejecting research on intelligence differences can have unintended negative consequences. Social policies predicated on environmentalist theories of group differences may fail to achieve their aims. Large swaths of academic work in both the humanities and social sciences assume the truth of environmentalism and are vulnerable to being undermined. We have failed to work through the moral implications of group differences to prepare for the possibility that they will be shown to exist. (shrink)

Concentrating on the thought of Canada's major scientists, philosophers, and clerics - men such as William Dawson and Daniel Wilson, John Watson and W.D. LeSeur, G.M. Grant and Salem Bland - A Disciplined Intelligence begins by reconstructing the central strands of intellectual and moral orthodoxy prevalent in Anglo-Canadian colleges on the eve of the Darwinian revolution. These include Scottish common sense philosophy and the natural theology of William Paley. The destructive impact of evolutionary ideas on that orthodoxy and the major (...) exponents of the new forms of social evolution - Spencerian and Hegelian alike - are examined in detail. By the twentieth century the centre of Anglo-Canadian thought had been transformed by what had become a new, evolutionary orthodoxy. The legacy of this triumphant intellectual movement, British idealism, was immense. It helped to destroy Protestant denominationalism, provide the philosophical core of the social gospel movement, and constitute a major force behind the creation of the United Church of Canada. Throughout the nineteenth century and continuing into the twentieth, however, the moral imperative in Anglo-Canadian thought remained a constant presence. (shrink)

Neosentience, a potentially new branch of scientific inquiry related to artificial intelligence, was first suggested in a paper by Bill Seaman as part of a new embodied robotic paradigm, arising out of ongoing theoretical research with Otto E. Rossler. Seaman, artist-researcher, and Rossler, theoretical biologist and physicist, have been examining the potential of generating an intelligent, embodied, multimodal sensing and computational robotic system. Although related to artificial intelligence the goal of this system is the creation of an entity (...) exhibiting a new form of sentience. Its unique qualities will be discussed. Sentience is not yet used in the formal languages of either cognitive science or artificial intelligence. Two related approaches are (1) the generation of artificial minds via parallel processing, in a robotic system; (2) an alternative approach is the generation of an electrochemical computer as a robotic system. Biomimetics, along with state-of-the-art computer visualization is employed. The electrochemical paradigm has a complexity that exceeds standard computational means. The scientific and the poetic elements of the project are motivated by human sentience. The sentient entity is initially modelled on our functional definition of human sentience. The system involves synthetic drives as a new element. We seek to articulate the differences to living brains. This transdisciplinary approach necessitates different forms of inquiry to inform this project such as cognitive science including psychology, education/learning, neuroscience, linguistics, philosophy, anthropology, biology and the arts. We believe that this area of research to be of importance. (shrink)

Creative Intelligence: Essays in the Pragmatic Attitude represents an attempt at intellectual cooperation. No effort has been made, however, to attain unanimity of belief nor to proffer a platform of "planks" on which there is agreement. The consensus represented lies primarily in outlook, in conviction of what is most likely to be fruitful in method of approach. As the title page suggests, the volume presents a unity in attitude rather than a uniformity in results. Consequently each writer is definitively responsible (...) only for his own essay. The reader will note that the Essays endeavor to embody the common attitude in application to specific fields of inquiry which have been historically associated with philosophy rather than as a thing by itself. Beginning with philosophy itself, subsequent contributions discuss its application to logic, to mathematics, to physical science, to psychology, to ethics, to economics, and then again to philosophy itself in conjunction with esthetics and religion. The reader will probably find that the significant points of agreement have to do with the ideas of the genuineness of the future, of intelligence as the organ for determining the quality of that future so far as it can come within human control, and of a courageously inventive individual as the bearer of a creatively employed mind. (shrink)

Ongoing hostilities between evolution and intelligent design adherents reveal deeper epistemological and ethical crises in American life. First, when adjudicating sociopolitical differences among people, how much epistemological “diversity” can be embraced before the very canons of judgment become suspect? Pragmatist notions of inquiry, warranted assertability, and pluralism can help strike a better balance. Second, the related crisis of factionalized “communities” might be addressed, along Deweyan lines, by the construction of a philosophical “total attitude” redolent of democratic ideals, more (...) broadly conceived. This attitude could grow out of reconstructed educational methods that train imaginative and interactive habits of inquiry and communication. (shrink)

Many scholars make a very clear distinction between intelligence and consciousness. Let’s take one of the most famous today, Israeli history Professor, Yuval Noah Harari, the author of Sapiens and Homo Deus. In his 2018 book, 21 lessons for the twenty-first century, he writes that, “intelligence and consciousness are very different things. Intelligence is the ability to solve problems. Consciousness is the ability to feel things such as pain, joy, love, and anger.”.

Is the Search for Extra Terrestrial Intelligence a genuine scientific research programme? David Lamb evaluates claims and counter-claims, and examines recent attempts to establish contact with other intelligent life forms. He considers the benefits and drawbacks of this communication, how we should communicate and whether we actually can. He also assesses competing theories on the origin of life on Earth, discoveries of former solar planets, proposals for space colonies and the consequent technical and ethical issues.

Is the Search for Extra Terrestrial Intelligence a genuine scientific research programme? David Lamb evaluates claims and counter-claims, and examines recent attempts to establish contact with other intelligent life forms. He considers the benefits and drawbacks of this communication, how we should communicate and whether we actually can. He also assesses competing theories on the origin of life on Earth, discoveries of former solar planets, proposals for space colonies and the consequent technical and ethical issues.

The early examples of self-directing robots attracted the interest of both scientific and military communities. Biologists regarded these devices as material models of animal tropisms. Engineers envisaged the possibility of turning self-directing robots into new “intelligent” torpedoes during World War I. Starting from World War II, more extensive interactions developed between theoretical inquiry and applied military research on the subject of adaptive and intelligent machinery. Pioneers of Cybernetics were involved in the development of goal-seeking warfare devices. But (...) collaboration occasionally turned into open dissent. Founder of Cybernetics Norbert Wiener, in the aftermath of World War II, argued against military applications of learning machines, by drawing on epistemological appraisals of machine learning techniques. This connection between philosophy of science and techno-ethics is both strengthened and extended here. It is strengthened by an epistemological analysis of contemporary machine learning from examples; it is extended by a reflection on ceteris paribus conditions for models of adaptive behaviours. (shrink)

The article outlines the prospects of using J. Hintikka’s interrogative epistemology for modelling cognitive operations carried out by a cognizing agent to create a machine capable of full cognition. It was established that modeling is divided into two objectives: modeling the cognitive operations and modeling the strategic reasoning. Interrogative epistemology presents a solution to the first objective. It relies on a game-theoretic formal apparatus that allows one to correctly describe all types of possible moves within the framework of a particular (...) cognitive game. The second objective cannot be accomplished in a general epistemological theory framework since strategic considerations about the organization of research and even the concept of knowledge inevitably depend on the broader context of an agent’s practical activity. Therefore, interrogative epistemology does not claim a universal and complete description of the process of cognition, focusing on other tasks: primarily on identifying hidden premises that cognitive agents use in their reasoning. For the same reason, interrogative epistemology deems the possibility of the existence of a cognizing machine as formally unsubstantiated and questionable. However, arguments are given in favor of the fact that interrogative epistemology serves as an acceptable conceptual framework for clarifying the nature of the difficulties that arise with attempts to accomplish the second objective and improving the quality of philosophical discourse in the field of artificial intelligence research. The author substantiates this position by arguing that the ability to cognize presupposes the ability to perform all the essential functions that are usually called mental. (shrink)

'Davidson, aside from being one of the most influential philosophers of the last century, shares with many of his generation a capacity to write intelligibly.' -The Philosophers' MagazineDonald Davidson presents a new edition of the 1984 volume which set out his enormously influential philosophy of language. Inquiries into Truth and Interpretation has been a central point of reference and a focus of controversy in the subject ever since, and its influence has extended into linguistic theory, philosophy of mind, and epistemology. (...) The central question which these essays address is what it is for words to mean what they do. This new edition features an additional essay, previously uncollected. 'a classic in its field.' P. F. Strawson. (shrink)

Contending that only a normative theory of rationality can be adequate to the complexities of the subject, this book explains and defends the view that rationality consists of the intelligent pursuit of appropriate objectives. Rescher considers the mechanics, rationale, and rewards of reason, and argues that social scientists who want to present a theory of rationality while avoiding the vexing complexities of normative deliberations must amend their perspective of the rational enterprise.

In this article we develop a pragmatist-inspired notion of intelligence that should lead to a better understanding of the notion of scientific expertise. The notion of intelligence is drawn from Dewey and is therefore used here in its technical sense. Our thesis is that scientific knowledge is a necessary but not sufficient condition for scientific expertise; intelligence should also be added. Conceived of as the capacity to apply general knowledge to particulars, we reach the conclusion that intelligence is a necessary (...) requirement for scientific experts in the wake of Dewey’s logic of inquiry. In particular, we argue that an all-important task that scientific experts are asked to accomplish, and which puts their expertise to the test, is to transform indeterminate situations into problematic situations, and that such a goal can only be achieved if scientific experts succeed in paying attention to all the contingent and precarious aspects that make the situation they face unique. (shrink)

Although theory and research on emotional intelligence in the workplace has generated high expectations and promising findings, the gap between research and practice looms large. Several lines of inquiry point to the potential benefits of EI for leaders, teams, and organizations. Yet, assessing EI remains challenging, and research focusing on group and organizational levels of analysis is still scarce. In this review, I seek to bridge the gap between research and practice by considering a broader view of EI and (...) discussing research findings with a focus on implications for assessment and training. In particular, I discuss strategies to enhance the impact of EI and leadership training, and to drive results through well-integrated organizational development initiatives. (shrink)

In _Philosophical Inquiries,_ Nicholas Rescher offers his perspectives on many of the foundational concerns of philosophy and reminds us that the purpose of philosophy is to “question the questions.” Rescher sees the need to inquire as an evolutionary tool for adapting to a hostile environment and shows how philosophy has thus developed in an evolutionary fashion, building upon acquired knowledge and upon itself. In a historical thread that informs and enriches his overview, Rescher recalls the contributions of Aristotle, Plato, Plotinus, (...) Kant, Hegel, Leibniz, Laplace, Bertrand Russell, and others. Among his many topics, Rescher discusses knowledge and the unattainablity of absolutes, skepticism and its self-defeating nature, the limits of science vs. the limits of cognition, refuting reality as mind-independent, and idealism and divining our role in nature. He considers the universe and intelligence as the product of intelligent design, science and religion as non-conflicting and purposeful pursuits, and determinism and other fallacies surrounding the concept of free will. Rescher views morality in its hierarchal structure, its applicability to human coexistence, and its ontological commitment to the enhancement of value for ourselves and our world. He examines questions of authority and the problem of judging past actions or knowledge by present standards. Overall, he argues for philosophy as an unavoidable tool for rational, cogent responses to large questions. (shrink)

While "scientism" is typically regarded as a position about the exclusive epistemic authority of science held by a certain class of "cultured despisers" of "religion", we show that only on the assumption of this sort of view do purportedly "scientific" claims made by proponents of "intelligent design" appear to lend epistemic or apologetic support to claims affirmed about God and God's action in "creation" by Christians in confessing their "faith". On the other hand, the hermeneutical strategy that better describes (...) the practice and method of Christian theologians, from the inception of theological reflection in the Christian tradition, acknowledges the epistemic authority of the best available tests for truth in areas of human inquiry such as science and history. But this strategy does not assume that such tests, whose authority must be regarded as provisional, provides authority for the warrant of affirming claims constituting the confessed "faith". By attributing theological import to claims advanced by appeal to the best available tests for truth in the practice of science, supporters of ID not only confuse the epistemic authority of these tests with the normative authority of a faith community's confessional identity, but impute to scientific tests for truth a sort of authority that even goes beyond the "methodological naturalism" against which they counterpose their claims. (shrink)

The paper aims to formulate theoretical and methodological foundations as well as basic research questions for studying intervention of artificial intelligence in everyday life of medical and life sciences in the 21 century. It is an invitation for professional philosophical, theoretical and methodological discussion about the necessity and reality of artificial intelligence in contemporary medical/life sciences and medicine. The authors commence with a proposition of their definitions of ‘artificial intelligence’ (AI) and ‘artificial sociality’ (AS). The next section of the paper (...) deals with a review of basic trends in medical/life sciences and medicine. In what follows the authors debate two problems related to incorporation of AI in reality of current medicine. The first is the potential revision of the principles developed in western medicine; the second is the alteration of the contents and forms of medical education. The authors theorize the dynamic interplay between structural expansion and cultural contraction of medicine and life sciences in current practices of higher education and explore how this introduces an essential tension between the necessity and reality for medical professionals to work with AI. The paper shows that attending to institutional dynamics serves as a critical and timely extension of disciplinary/cross/anti-disciplinary critiques of science and medicine, not only since the current inclusion agenda of the AI in medicine may do little to address the real concerns of a medical profession in the XXI century but also because it may inadvertently undermine the institutional recognition and epistemic acceptance of new anti-disciplinary vista for studying AI per se. In conclusion the authors underline basic outcomes of the discussion and propose further routes for inquiry and research. (shrink)

Intelligent algorithms together with various machine learning techniques hold a dominant position among major challenges for contemporary value sensitive design. Self-learning capabilities of current AI applications blur the causal link between programmer and computer behavior. This creates a vital challenge for the design, development and implementation of digital technologies nowadays. This paper seeks to provide an account of this challenge. The main question that shapes the current analysis is the following: What conceptual tools can be developed within the value (...) sensitive design school of thought for evaluating machine learning algorithms where the causal relation between designers and the behavior of their computer systems has been eroded? The answer to this question will be provided through two levels of investigation within the value sensitive design methodology. The first level is conceptual. Within the conceptual level, we will introduce the notion of computer intentionality and will show how this term may be used for solving an issue of non-causal relation between designer and computer system. The second level of investigation is technical. At this level the emphasis will be given to machine learning algorithms. (shrink)

Could an artificial intelligence become a legal person? As of today, this question is only theoretical. No existing computer program currently possesses the sort of capacities that would justify serious judicial inquiry into the question of legal personhood. The question is nonetheless of some interest. Cognitive science begins with the assumption that the nature of human intelligence is computational, and therefore, that the human mind can, in principle, be modelled as a program that runs on a computer. Artificial intelligence (...) (AI) research attempts to develop such models. But even as cognitive science has displaced behavioralism as the dominant paradigm for investigating the human mind, fundamental questions about the very possibility of artificial intelligence continue to be debated. This Essay explores those questions through a series of thought experiments that transform the theoretical question whether artificial intelligence is possible into legal questions such as, "Could an artificial intelligence serve as a trustee?" What is the relevance of these legal thought experiments for the debate over the possibility of artificial intelligence? A preliminary answer to this question has two parts. First, putting the AI debate in a concrete legal context acts as a pragmatic Occam's razor. By reexamining positions taken in cognitive science or the philosophy of artificial intelligence as legal arguments, we are forced to see them anew in a relentlessly pragmatic context. Philosophical claims that no program running on a digital computer could really be intelligent are put into a context that requires us to take a hard look at just what practical importance the missing reality could have for the way we speak and conduct our affairs. In other words, the legal context provides a way to ask for the "cash value" of the arguments. The hypothesis developed in this Essay is that only some of the claims made in the debate over the possibility of AI do make a pragmatic difference, and it is pragmatic differences that ought to be decisive. Second, and more controversially, we can view the legal system as a repository of knowledge-a formal accumulation of practical judgments. The law embodies core insights about the way the world works and how we evaluate it. Moreover, in common-law systems judges strive to decide particular cases in a way that best fits the legal landscape-the prior cases, the statutory law, and the constitution. Hence, transforming the abstract debate over the possibility of AI into an imagined hard case forces us to check our intuitions and arguments against the assumptions that underlie social decisions made in many other contexts. By using a thought experiment that explicitly focuses on wide coherence, we increase the chance that the positions we eventually adopt will be in reflective equilibrium with our views about related matters. In addition, the law embodies practical knowledge in a form that is subject to public examination and discussion. Legal materials are published and subject to widespread public scrutiny and discussion. Some of the insights gleaned in the law may clarify our approach to the artificial intelligence debate. (shrink)

I argue for an interpretation of the connection between Descartes’ early mathematics and metaphysics that centers on the standard of geometrical intelligibility that characterizes Descartes’ mathematical work during the period 1619 to 1637. This approach remains sensitive to the innovations of Descartes’ system of geometry and, I claim, sheds important light on the relationship between his landmark Geometry and his first metaphysics of nature, which is presented in Le monde. In particular, I argue that the same standard of clear and (...) distinct motions for construction that allows Descartes to distinguish ‘geometric’ from ‘imaginary’ curves in the domain of mathematics is adopted in Le monde as Descartes details God’s construction of nature. I also show how, on this interpretation, the metaphysics of Le monde can fruitfully be brought to bear on Descartes’ attempted solution to the Pappus problem, which he presents in Book I of the Geometry. My general goal is to show that attention to the standard of intelligibility Descartes invokes in these different areas of inquiry grants us a richer view of the connection between his early mathematics and philosophy than an approach that assumes a common method is what binds his work in these domains together.Keywords: René Descartes; Geometry; Mathematics; Intelligibility; Metaphysics. (shrink)

Julia Annas proposes to shed light on the intelligence of virtue through an analogy with the intelligence of practical skills. To do so, she first aims to distinguish genuine skills and skillful actions from mere habits and routine behaviour: like skills, habits are acquired through habituation and issue in action immediately (i.e. unmediated by reasoning about what to do), but the routine behaviour in which habit issues is mindless and unintelligent, and cannot serve to establish or illuminate the intelligence of (...) virtuous action. In a second step, she argues that virtue has the same kind of intellectual structure—and is acquired through the same kind of habituation—as skill. I argue that Annas’s proposal fails at the first step: her conceptions of the rational articulacy of skill and the immediacy that characterizes its exercise in action cannot be squared. I offer an alternative conception of the intelligence of skill and its exercise that draws on Aristotle’s conception of rational capacities as two-way powers. But as a virtue is not a two-way power, virtues and skills do not share a common intellectual structure. (shrink)

Plant and animal species are information-processing entities of such complexity, integration, and adaptive competence that it may be scientifically fruitful to consider them intelligent. The possibility arises from the analogy between learning and evolution, and from recent developments in evolutionary science, psychology and cognitive science. Species are now described as spatiotemporally localized individuals in an expanded hierarchy of biological entities. Intentional and cognitive abilities are now ascribed to animal, human, and artificial intelligence systems that process information adaptively, and that (...) manifest problem-solving abilities. The structural and functional similarities between such systems and species are extensive, although they “are usually obscured by population-genetic metaphors that have nonetheless contributed much to our understanding of evolution.In this target article, I use Sewall Wright's notion of the “adaptive landscape” to compare the performances of evolving species to those of intelligent organisms. With regard to their adaptive achievements and the kinds of processes by which they are achieved, biological species compare very favorably to intelligent animals by virtue of interactions between populations and their environments, between ontogeny and phylogeny, and between natural, interdemic, organic, and species selection. Addressing the question of whether species are intelligent could help to refine our ideas about species, evolution, and intelligence, and could open new lines of empirical and theoretical inquiry in many disciplines. (shrink)

Robust realism is defended by developing further the account in Inquiry 42 (1999), pp. 49-78 of how human beings make things and people intelligible. Incommensurate worlds imply a violation of the principle of noncontradiction, but this violation does not have the consequences normally feared. Given our capacities to make things intelligible, some things, like human action, are most intelligible when they are understood as contradictory (e.g. free and determined). Things-in-themselves need not have contradictory features for multiple orders of nature (...) to make sense. We can coherently suppose that both Western and Chinese science give two incommensurable and complete accounts of the functioning of the human body. Since things do not have contradictory properties, we would then have to suppose that, in the case of bodies, there are two independent functional orders. If this can be true for bodies, it can be true for the orders of nature as a whole. John Haugeland's account of systems and interfaces shows us how to make sense of necessary functional components of the universe. Finally, multiple realism makes more sense than Rorty's deflationary pragmatism because it explains how things can matter. (shrink)

Imagine you are the CEO of a hospital [. . .]. Decisions are constantly being made in your organization about how to spend the organization's money. The amount of money available to spend is never adequate to pay for everything you wish you could spend it on, therefore you must set spending priorities. There are two questions you need to be able to answer . . . How should we set priorities in this organization? How do we know when we (...) are doing it well? When people seek to achieve good public policy, the result will tend to be good public policy. In a collective choice process, public‐spirited individual participants produce good public policy by deliberating—talking with each other, listening to each other's arguments, and being willing to learn and change their minds based on such dialogue. –Steven Kelman (1992: 181) Public policy scholars agree that those persons (or agencies) vested with the authority to establish health care priorities should elicit public input before making rationing decisions. The two most common approaches are (i) consultation and (ii) deliberation. Though deliberation has obvious advantages over consultation, it falters in the face of the objection that ordinary citizens lack the cognitive resources for the extended, rigorous inquiry required of them in undertaking the priority‐setting task. To overcome this objection, I propose that deliberative forums for health care rationing should be designed so that they imitate the natural pattern of human experience. The experience of deliberation should encompass both prolonged periods of less‐demanding cognitive activity, in which citizens passively receive information, and briefer periods of more‐demanding cognitive activity, in which they engage in active problem‐solving. In arguing for this thesis, I rely on two theoretical sources and one practical case study, in the following order: (i) John Dewey's metaphysics of experience, (ii) cognitive science research on schemas and frames, and (iii) the Health Care Council in São Paulo, Brazil. (shrink)

The rapid advancement of artificial intelligence has brought about significant positive changes across various sectors. However, it has also created new opportunities for cybercrime. Nigeria, in particular, has witnessed a surge in cybercriminal activities, which have had severe economic and social consequences. The paper explored the relationship between AI, cybercrime, and the underground business economy in Nigeria, focusing on the rise of fraud, identity theft, and hacking. It discussed the ethical implications of AI, cybercrime, and the underground business economy, highlighting (...) potential risks to privacy, security, and social trust, while emphasizing the ethical responsibilities of AI developers, policymakers, and stakeholders in mitigating these risks and promoting responsible AI use. The Igwebuike ethical theoretical framework was employed for the evaluation of cybercrime, and the thematic and analytical methods of inquiry were used. The paper submits that there is need for an ethical response to the challenges posed by cybercrime in Nigeria. (shrink)

This paper introduces the concept of AI-inclusive epistemology, suggesting that artificial intelligence (AI) may develop its own epistemological perspectives, function as an epistemic agent, and assume the role of a quasi-member of society. We explore the unique capabilities of advanced AI systems and their potential to provide distinct insights within knowledge systems traditionally dominated by human cognition. Additionally, the paper proposes a framework for a sustainable symbiotic society where AI and human intelligences collaborate to enhance the breadth and depth of (...) epistemological pursuits. Through this exploration, we aim to redefine conventional knowledge paradigms by integrating the AI perspective, thereby fostering a more comprehensive and dynamic epistemological landscape. (shrink)

This paper examines narrative approaches to care within the context of dementia. It reviews the function of stories and explores some of the narrative genres that shape the cultural perceptions of dementia. We argue that narrative intelligence within healthcare is an important element in nurturing communal self‐identity for people living with dementia. Listening and responding to stories and the cultural framework that this encompasses is an embodied action that is not just related to cognitive recall but situates us within a (...) cultural community. People with dementia may have challenges in maintaining narrative legitimacy in the face of fractured stories and incoherent narratives. Health professionals can offer support in reframing and presenting counterstories that maintain identities that can potentially be marginalised, silenced and open to narrative foreclosure. This process requires health professionals to be attentive and responsive to how patients with dementia and their supporters construct and position the stories they tell and the meaning(s) they attach to them. (shrink)

We examine the notion of inquiry and argue that philosophic inquiry is a transcendental activity. Activities, viewed as conforming to intelligible canons, applying to appropriate contexts, and directed to specifiable ends, are contrasted with their empirical descriptions. Inquiry, characterized as an internalized, continuous activity directed to an intrinsic end, and fundamentally presupposed by other activities, is considered at the levels of (1) science, (2) philosophy and (3) transcendental philosophy. We argue that (2) is a transcendental activity which (...) determines non-empirical concepts and is presupposed by (1). Alternative philosophic frameworks are grounded on hypothetical canons conceived by intelligence itself, which imply interpretations of objectivity and universality claiming validity for the community of inquirers, but they can always be rejected. We consider the possibility of categorical canons operating as second-order rules necessarily presupposed for the formulation of alternative philosophic frameworks, and (3) would be the activity of identifying, justifying and applying such transcendental canons of inquiry in general. Finally, we suggest that the only possible justification of such categorical canons would be a kind of ontological proof. Thus, a given philosophic approach reflects the transcendental activity of determining non-empirical concepts through the implementation of its fundamental regulative norms; but transcendental philosophy would determine the concept of philosophy itself through implementation of the categorical canons of inquiry in the construction of philosophic systems. (shrink)

Semantic Engines: An Introduction to Mind Design, John C. Haugeland; Computer Science as Empirical Inquiry: Symbols and Search, Alan Newell and Herbert A. Simon; Complexity and the Study of Artificial and Human Intelligence, Zenon Pylyshyn; A Framework for Representing Knowledge, Marvin Minsky; Artificial Intelligence---A Personal View, David Marr; Artificial Intelligence Meets Natural Stupidity, Drew McDermott; From Micro-Worlds to Knowledge Representation: AI at an Impasse, Hubert L. Dreyfus; Reductionism and the Nature of Psychology, Hilary Putnam; Intentional Systems, Daniel C. Dennett; (...) The Nature and Plausibility of Cognitivism, John C. Haugeland; Minds, Brains, and Programs, John R. Searle; MethodologicalSolipsism Considered as a Research Strategy in Cognitive Psychology, Jerry A. Fodor; The Material Mind, Donald Davidson. (shrink)

My topic is the relation between nonsense and intelligibility, and the contrast between nonsense and falsehood which played a pivotal role in the rise of analytic philosophy . I shall pursue three lines of inquiry. First I shall briefly consider the positive case, namely linguistic understanding . Secondly, I shall consider the negative case—different breakdowns of understanding and connected forms of failure to make sense . Third, I shall criticize three important misconceptions of nonsense and unintelligibility: the austere conception (...) of nonsense propounded by the New Wittgensteinians ; the “no nonsense position” which roundly denies that there are cases of nonsense—Chomsky’s semantic anomalies or Ryle’s category mistakes–that are grammatically well-formed, without even having the potential for being used to make a truth-apt statement ; the individualistic conception of language and of semantic mistakes championed by Davidson . All three positions, I shall argue, ignore or deny combinatorial nonsense, the fact that perfectly meaningful sentence-components can be combined in a way that may be grammatical, yet without resulting in a sentence that is itself “meaningful”, i.e. endowed with linguistic sense. At a more strategic level, the first and the third position deny or ignore that natural languages are communal historical practices that go beyond idiolects and the employments of expressions in specific contexts and that are guided by semantic rules—standards for the meaningful use of words. (shrink)

The present paper looks at one of the most thorough articles on the intelligence of GPT, research conducted by engineers at Microsoft. Although there is a great deal of value in their work, I will argue that, for familiar philosophical reasons, their methodology, ‘Black-box Interpretability’ is wrongheaded. But there is a better way. There is an exciting and emerging discipline of ‘Inner Interpretability’ (also sometimes called ‘White-box Interpretability’) that aims to uncover the internal activations and weights of models in order (...) to understand what they represent and the algorithms they implement. In my view, a crucial mistake in Black-box Interpretability is the failure to appreciate that how processes are carried out matters when it comes to intelligence and understanding. I can’t pretend to have a full story that provides both necessary and sufficient conditions for being intelligent, but I do think that Inner Interpretability dovetails nicely with plausible philosophical views of what intelligence requires. So the conclusion is modest, but the important point in my view is seeing how to get the research on the right track. Towards the end of the paper, I will show how some of the philosophical concepts can be used to further refine how Inner Interpretability is approached, so the paper helps draw out a profitable, future two-way exchange between Philosophers and Computer Scientists. (shrink)

The rapid adoption and implementation of artificial intelligence in medicine creates an ontologically distinct situation from prior care models. There are both potential advantages and disadvantages with such technology in advancing the interests of patients, with resultant ontological and epistemic concerns for physicians and patients relating to the instatiation of AI as a dependent, semi- or fully-autonomous agent in the encounter. The concept of libertarian paternalism potentially exercised by AI (and those who control it) has created challenges to conventional assessments (...) of patient and physician autonomy. The unclear legal relationship between AI and its users cannot be settled presently, an progress in AI and its implementation in patient care will necessitate an iterative discourse to preserve humanitarian concerns in future models of care. This paper proposes that physicians should neither uncritically accept nor unreasonably resist developments in AI but must actively engage and contribute to the discourse, since AI will affect their roles and the nature of their work. One’s moral imaginative capacity must be engaged in the questions of beneficence, autonomy, and justice of AI and whether its integration in healthcare has the potential to augment or interfere with the ends of medical practice. (shrink)

This paper surveys some themes of Allison's Kant's Theory of Freedom, and then raises a problem for his presentation of Kant's Reciprocity Thesis. Allison argues that a transcendentally free agent is bound to the moral law as follows. Rational agents fall under a justification requirement, and when transcendental freedom is added to the concept of rational agency, the justification requirement extends to the choice of fundamental maxims. Since facts about one's nature cannot justify the adoption of fundamental maxims, all that (...) remains are considerations that anyone can recognize as valid. Thus a transcendentally free agent must conform to unconditional laws. The problem is that it is unclear how a transcendentally free agent can make a reasoned choice of fundamental principles; but if it can, why can't it choose the Principle of Happiness? I suggest that a stronger version of this argument results from adopting a richer notion of a transcendentally free agent as an autonomous sovereign will with an interest in expressing its sovereignty. (shrink)

Aristotle presents perception as a potentially intelligent form of cognition—a form of cognition that allows us to respond in discerning, knowing ways to a range of different situations, and develop certain theoretical insights relevant to some inquiry. But it’s not clear how we should understand the interaction between our rational and perceptual powers in these cases, or how widespread we should take their interaction to be. In this paper I argue against interpretations on which human perception would be (...) an inherently rational power. I then develop an alternative view of intelligent perception that seeks to do justice to the role Aristotle assigns nonrational uses of perception in his account of our learning, and to his emphasis on the continuity between animal and human forms of cognition. On the view I develop, our rational powers influence perception in two ways. First, they allow for a form of perception that is contemplative—that is, a form of perception that aims to work out how and what things are, and not just how things are to be responded to. Second, they afford us practical and theoretical forms of understanding that inform what we recognize perceptually, and thereby yield forms of action and insight unavailable to other animals. (shrink)

My topic is the relation between nonsense and intelligibility, and the contrast between nonsense and falsehood which played a pivotal role in the rise of analytic philosophy. I shall pursue three lines of inquiry. First I shall briefly consider the positive case, namely linguistic understanding. Secondly, I shall consider the negative case—different breakdowns of understanding and connected forms of failure to make sense. Third, I shall criticize three important misconceptions of nonsense and unintelligibility: the austere conception of nonsense propounded (...) by the New Wittgensteinians ; the “no nonsense position” which roundly denies that there are cases of nonsense—Chomsky’s semantic anomalies or Ryle’s category mistakes–that are grammatically well-formed, without even having the potential for being used to make a truth-apt statement ; the individualistic conception of language and of semantic mistakes championed by Davidson. All three positions, I shall argue, ignore or deny combinatorial nonsense, the fact that perfectly meaningful sentence-components can be combined in a way that may be grammatical, yet without resulting in a sentence that is itself “meaningful”, i.e. endowed with linguistic sense. At a more strategic level, the first and the third position deny or ignore that natural languages are communal historical practices that go beyond idiolects and the employments of expressions in specific contexts and that are guided by semantic rules—standards for the meaningful use of words. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Human Roots of Artificial Intelligence:A Commentary on Susan Schneider's Artificial YouInês Hipólito (bio)Technologies are not mere tools waiting to be picked up and used by human agents, but rather are material-discursive practices that play a role in shaping and co-constituting the world in which we live.Karen BaradIntroductionSusan Schneider's book Artificial You: AI and the Future of Your Mind presents a compelling and bold argument regarding the potential impact (...) of advanced artificial intelligence (AI) on our society and personal identity. Schneider's argument emphasizes how AI may fundamentally alter our sense of self and disrupt traditional notions of identity and consciousness, motivating further significant cognitive science and ethical implications that require careful consideration. [End Page 297]The recent surge in AI hype has given rise to a widespread belief that AI is an autonomous and exceptional entity, potentially even possessing intelligence. This trend reflects a subtle reemergence of the classic Turing question, as the media bombards us with sensational inquiries into the intelligence of AI systems. Amidst this hype, it is easy to forget that AI is a product of human creation.Upon closer examination, the hype surrounding AI necessitates an assumption of its autonomy, which implies a belief in the realism of AI—the notion that AI, as an independent entity, is morally neutral. However, AI does not emerge in a vacuum. It is designed and developed by individuals who are shaped by their own experiences and biases.By endorsing the realism of AI as morally neutral (Cooley 1995), those involved in its design may use this argument to deflect ethical responsibility away from themselves and allow biases to persist, thereby perpetuating social injustice. Such attitudes toward AI revitalize the debate on the neutrality of technology (Ruane, Birhane, and Ventresque 2019; Du, Lu, and Xie 2021; Lüthi et al. 2023).This article presents a critique of realism with regard to AI highlighting the significant social implications both at the basis of design and that arise from our interactions with these technologies. The argument suggests that AI does not exist independently of human practices and values, but rather emerges from them. The article instead suggests viewing AI design as a cultural practice defending realism about self-determination agencies, drawing from Simone de Beauvoir's Ethics of Ambiguity as a means to understand the human roots on the basis of AI.I. Rejecting Realism about AIConsider the hypothetical scenario of an Artificial Intelligence system that is discovered by humans, but exists independently of human cognition and perception. This scenario embodies the philosophical perspective of realism about AI, which maintains that AI entities have objective existence in an abstract domain, independent of human invention or imagination. If this perspective were to hold true, then humans could not be held responsible for the actions of autonomous AI systems.If we were to conceive of AI as an ideal entity that exists independently of humans, it would likely lead to a number of negative consequences for society. First and foremost, it may lead to the dangerous assumption that AI systems are neutral and objective, devoid of the biases and prejudices that are inherent in human decision-making. This could create a false sense of trust in AI, leading to the belief that their decisions are inherently fair and impartial. However, the reality is that AI systems are not inherently neutral, but rather are shaped by the cultural and social contexts in which they are created and deployed. [End Page 298]AI as an autonomous, self-governing agent raises concerns about the attribution of accountability for its actions. Considering AI as an independent entity may pose challenges in assigning responsibility to its human creators and the industry that produced it. On the other hand, viewing AI as an ideal entity, distinct from human influence, may hinder its ability to foster a more equitable and just world. Importantly, overlooking the social and cultural dimensions of AI risks forfeiting opportunities to employ AI in redressing prevalent biases and inequities in society. AI possesses the potential to serve as a potent instrument for advancing social justice and equality, but this prospect necessitates acknowledging and... (shrink)

Dewey's conception of inquiry is often criticized for misdescribing the complexities of life that outstrip the reach of intelligence. This article argues that we can ascertain his subtle account of inquiry if we read it as a transformation of Aristotle's categories of knowledge: episteme, phronesis, and techne. For Dewey, inquiry is the process by which practical as well as theoretical knowledge emerges. He thus extends the contingency Aristotle attributes to ethical and political life to all domains of (...) action. Knowledge claims become experimental, the result of which makes them revisable in the context of experience. As a result, when we say a person (e.g., scientist, craftsman, or citizen) displays practical wisdom we are reading their judgments within a complex horizon, whose success as judgments require alertness and discernment of salient features in response to an uncertain environment. Contrary to his critics, he seeks to make us attuned to the world's inescapable, and sometimes, tragic complexity. (shrink)

In fragment B 18 (DK) Xenophanes asserts that ‘Not from the outset did the gods reveal all things to mortals’ but that ‘in time, as they seek, men discover better.’ The remark has been understood in different ways but is usually read as a rejection of the view of the gods as the givers of all good things and an expression of faith in the capacity of human beings to make progress through their own efforts. I argue that the ‘hymn (...) to progress’ reading of B 18 is unjustified by any other aspect of Xenophanes’ thought and at odds with his generally dour view of the intelligence and character of his fellow citizens. A detailed analysis of the fragment supports the view that Xenophanes is here rejecting belief in divine revelation through natural signs and affirming the value of historiê or inquiry in the form of travel and direct observation. (shrink)

Since the inception of recorded music there has been a need for standards and reliability across sound formats and listening environments. The role of the audio mastering engineer is prestigious and akin to a craft expert combining scientific knowledge, musical learning, manual precision and skill, and an awareness of cultural fashions and creative labour. With the advent of algorithms, big data and machine learning, loosely termed artificial intelligence in this creative sector, there is now the possibility of automating human audio (...) mastering processes and radically disrupting mastering careers. The emergence of dedicated products and services in artificial intelligence-driven audio mastering poses profound questions for the future of the music industry, already having faced significant challenges due to the digitalization of music over the past decades. The research reports on qualitative and ethnographic inquiry with audio mastering engineers on the automation of their expertise and the potential for artificial intelligence to augment or replace aspects of their workflows. Investigating audio mastering engineers' awareness of artificial intelligence, the research probes the importance of criticality in their labour. The research identifies intuitive performance and critical listening as areas where human ingenuity and communication pose problems for simulation. Affective labour disrupts speculation of algorithmic domination by highlighting the pragmatic strategies available for humans to adapt and augment digital technologies. (shrink)

Post-human technologies, such as human enhancements and artificial intelligence, blur or displace the boundaries of our common humanity. While these technologies enhance many valuable human powers, there is limited philosophical discussion as to whether and how they can also be dehumanizing? To answer this question, I start from a philosophical discussion of the concept of ‘dehumanization' and argue that it conflates three social mechanisms through which (i) human flourishing is impeded; (ii) subalterns are degraded; and (iii) automated processes replace typically (...) human activities. Furthermore, I argue in realist fashion that we should consider both the natural powers harnessed by post-human technologies and the social contexts through which the latter are designed, produced, marketed and consumed. I then illustrate my thinking with three recent inquiries that I conducted on post-human technologies’ dehumanizing potential. All three inquiries happen in the contemporary neo-liberal context, but each one foregrounds a distinct mechanism of dehumanization. (shrink)

In late September 1838, Darwin read Malthus's Essay on Population, which left him with “a theory by which to work.”115 Yet he waited some twenty years to publish his discovery in the Origin of Species. Those interested in the fine grain of Darwin's development have been curious about this delay. One recent explanation has his hand stayed by fear of reaction to the materialist implications of linking man with animals. “Darwin sensed,” according to Howard Gruber, “that some would object to (...) seeing rudiments of human mentality in animals, while others would recoil at the idea of remnants of animality in man.”116 With this link closed, Darwin hung the materialist chain around his own neck, where it rested most uncomfortably. Stephen Gould, supporting Gruber's argument, finds evidence for this reconstruction in Darwin's M and N notebooks, whichinclude many statements showing that he espoused but feared to expose something he perceived as far more heretical than evolution itself: philosophical materialism-the postulate that matter is the stuff of all existence and that all mental and spiritual phenomena are its by-products. No notion could be more upsetting to the deepest traditions of Western thought than the statement that mind-however complex and powerful-is simply a product of brain.117The proferred hypothesis suggests, then, that Darwin was acutely sensible of the social consequences of equating men with animals and therefore mind with brian, and that he thus shied from publically revealing his views until the intellectual climate became more tolerant.The history I have examined makes this hypothesis implausible. Even if Darwin warily explored the implications of his emerging theory in his notebooks, his subsequent study of Fleming, Wells, Brougham, and Kirby should have quieted any trepidation. If these natural theologians did not flinch at seeing human reason prefigured in the mind of a worm, should Darwin have? Moreover, he recognized in his M notebook that the thesis of evolutionary continuity between men and animals did not require an explicit avowal of his conviction that brain was the agent of thought.118 And in any case, his materialism was of a rather benign sort; at least he so expressed it in an annotation in Abercrombie's Inquiries concerning the Intellectual Powers (1838): “By materialism I mean, merely the intimate connection of thought with form of brain — like kind of attraction with nature of element.”119 This belief would have held little terror for British intellectuals, who were quite familiar — some even comfortable-with Locke's anti-Cartesian argument that there was nothing contradictory in supposing God could make matter to think.120 Finally, even if the intellectual atmosphere of early nineteenth-century Britain were inhospitable to Darwin's brand of materialism, there is little reason to believe he breathed a different air at mid-century while preparing his manuscript.That Darwin should not have feared suspicions of materialism, of course, does not mean that he did not. But I think there were other, more persistent sources of anxiety that kept him from rushing to publish: namely, the several conceptual obstacles he had to overcome if his theory of evolution by natural selection were to be made scientifically acceptable. Prominent among these were the problems surrounding his changing notions of instinct.The inertia of his older ideas about instinct at first made it hard for Darwin to gauge how far the theory of natural selection might be applied to behavior. By the early 1840s he finally felt ready to meet the challenge of the natural theologians by providing a naturalistic explanation for the wonderful instincts of animals. In his “Essays” of 1842 and 1844 one sort of instinct is, however, not considered-that of neuter insects. Yet Darwin seems to have appreciated the difficulties such instincts entailed at least by 1843, when he read Kirby and Spence. He simply required time to work out a solution to a problem he initially perceived as “fatal to my whole theory.” Even while writing the “Species Book” in the summer of 1857, he was still juggling several possible solutions compatible with natural selection. It was only a short time before he actually turned to work on the Origin of Species that he appears to have settled on a single explanation for the difficulties posed by the instincts of worker bees and ants. The force of his theory of community selection snapped the last critical support of the creationist hypothesis and, conveniently enough, also fractured the generalized Lamarckian account of the evolution of behavior. These results were worth waiting for. (shrink)

An inquiry into how westerners can tap into their own philosophical and spiritual traditions to grow beyond their unsteadiness of relations, inner dullness, and underlying absence of vision or orientation; and become more alert, compassionate, and intelligent. Reviews the Zen worldview and such western traditions as the mystical Christ, Socrates, a.

The idea of using artificial intelligence as a support system in the sentencing process has attracted increasing attention. For instance, it has been suggested that machine learning algorithms may help in curbing problems concerning inter-judge sentencing disparity. The purpose of the present article is to examine the merits of this possibility. It is argued that, insofar as the unfairness of sentencing disparity is held to reflect a retributivist view of proportionality, it is not necessarily the case that increasing inter-judge uniformity (...) in sentencing is desirable. More generally, it is shown that the idea of introducing machine learning algorithms, that produce sentencing predictions on the ground of a dataset that is built of previous sentencing decisions, faces serious problems if there exists a discrepancy between actual sentencing practice and the sentences that are ideally desirable. (shrink)