En este ensayo, analizaré cómo el sujeto cibernético, los chatbots y el gólem artificial se relacionan entre sí y con el contexto histórico en el que surgen y se desarrollan en el cibermundo. El cibermundo es el escenario virtual y material donde se desarrollan las interacciones entre los sujetos cibernéticos y los dispositivos inteligentes que emplean la inteligencia artificial (IA) para comunicarse, aprender, crear y construir estrategia de saber- poder. Los conceptos de sujeto cibernético, chatbot y (...) class='Hi'>gólem artificial entran en una interrelación dinámica en el cibermundo, generando reflexiones y produciendo debate filosófico sobre el sujeto cibernético ante la inteligencia artificial. (shrink)

Abstract.The legend of the golem, the creation of life through mystical and magical means, is the most famous postbiblical Jewish legend. After noting recent references to the golem legend in fiction, film, art, and scientific literature, I outline three stages of the development of the legend, including its relationship to the story of Frankenstein. I apply teachings about the golem in classical Jewish religious literature to implications of the legend for ethical issues relating to bioengineering, reproductive biotechnology, robotics, artificial (...) intelligence, artificial life, and corporate ethics. The golem legend emerges as a source of prudent guidance through the minefield of ethical and spiritual problems emerging from current and expected developments in biotechnology. (shrink)

We give reasons for the importance of old narratives, including myths, in ethical thinking about science and technology. On the example of a legend about creating artificial men we explore the side effects of having too much success and the problem of intermediate social status of bioengineered artefacts.

Special Issue “Risks of artificial general intelligence”, Journal of Experimental and Theoretical Artificial Intelligence, 26/3 (2014), ed. Vincent C. Müller. http://www.tandfonline.com/toc/teta20/26/3# - Risks of general artificial intelligence, Vincent C. Müller, pages 297-301 - Autonomous technology and the greater human good - Steve Omohundro - pages 303-315 - - - The errors, insights and lessons of famous AI predictions – and what they mean for the future - Stuart Armstrong, Kaj Sotala & Seán S. Ó hÉigeartaigh - pages (...) 317-342 - - - The path to more general artificial intelligence - Ted Goertzel - pages 343-354 - - - Limitations and risks of machine ethics - Miles Brundage - pages 355-372 - - - Utility function security in artificially intelligent agents - Roman V. Yampolskiy - pages 373-389 - - - GOLEM: towards an AGI meta-architecture enabling both goal preservation and radical self-improvement - Ben Goertzel - pages 391-403 - - - Universal empathy and ethical bias for artificial general intelligence - Alexey Potapov & Sergey Rodionov - pages 405-416 - - - Bounding the impact of AGI - András Kornai - pages 417-438 - - - Ethics of brain emulations - Anders Sandberg - pages 439-457. (shrink)

Papers from the conference on AI Risk (published in JETAI), supplemented by additional work. --- If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory. -- Featuring contributions from leading experts and thinkers in artificial intelligence, Risks of Artificial Intelligence is the first volume of (...) collected chapters dedicated to examining the risks of AI. The book evaluates predictions of the future of AI, proposes ways to ensure that AI systems will be beneficial to humans, and then critically evaluates such proposals. 1 Vincent C. Müller, Editorial: Risks of Artificial Intelligence - 2 Steve Omohundro, Autonomous Technology and the Greater Human Good - 3 Stuart Armstrong, Kaj Sotala and Sean O’Heigeartaigh, The Errors, Insights and Lessons of Famous AI Predictions - and What they Mean for the Future - 4 Ted Goertzel, The Path to More General Artificial Intelligence - 5 Miles Brundage, Limitations and Risks of Machine Ethics - 6 Roman Yampolskiy, Utility Function Security in Artificially Intelligent Agents - 7 Ben Goertzel, GOLEM: Toward an AGI Meta-Architecture Enabling Both Goal Preservation and Radical Self-Improvement - 8 Alexey Potapov and Sergey Rodionov, Universal Empathy and Ethical Bias for Artificial General Intelligence - 9 András Kornai, Bounding the Impact of AGI - 10 Anders Sandberg, Ethics and Impact of Brain Emulations 11 Daniel Dewey, Long-Term Strategies for Ending Existential Risk from Fast Takeoff - 12 Mark Bishop, The Singularity, or How I Learned to Stop Worrying and Love AI -. (shrink)

Intolerance, abuse, calling of names because of differences of opinion about religion or politics or business, as well as because of differences of race, color, wealth or degree of culture are treason to the democratic way of life. Merely legal guarantees of the civil liberties of free belief, free expression, free assembly are of little avail if the give and take of ideas, facts, experiences, is choked by mutual suspicion, by abuse, by fear and hatred.Without some kind of oversight, the (...) golem, not God, might emerge from machines … it is naïve to believe that government is competent, let alone in a position to control the development and deployment of robots, self-generating algorithms, and artificial intelligence.... (shrink)

Thanks to the development of modern technologies, there is a feeling that the machine can do anything: write a pseudoscientific article, perform household chores, and remind us of important things. Questions arise: what can't the machine do? What does it mean to be human today? The article examines the versions of how the border between the human and non-human in a person is interpreted in fiction. Such variations of "artificial man" as golem, robot, and artificial intelligence are studied. (...) Created from different materials and animated by different methods, these creatures reflect different ideas about who a person is. We propose two approaches to the idea of creating a "man — artificial man" — mythological and natural science, supported by posthumanist philosophy. The deanthropologizing tendency in literary works anticipates the logic of transhumanism. A person is reduced either to a biological datum (a set of genes, a game of hormones, neural connections), or to intelligence, competing with artificial intelligence and inevitably suffering defeat. The anthropological approach in works of art continues the mythological tradition. Man is thought of as a being endowed with consciousness, which is not reducible to the world. "Artificial man" is a double, an antipode, another, that is, absolutely different, in relation to which a person can establish his own identity. (shrink)

The Sparks of Randomness, Henri Atlan's magnum opus, develops his whole philosophy with a highly impressive display of knowledge, wisdom, depth, rigor, and intellectual and moral vigor. Atlan founds an ethics adapted to the new power over life that modern scientific knowledge has given us. He holds that the results of science cannot ground any ethical or political truth whatsoever, while human creative activity and the conquest of knowledge are a double-edged sword. This first volume, Spermatic Knowledge, begins with the (...) Talmudic tale about the prophet Jeremiah's creation of a golem, or artificial man. Atlan shows that the Jewish tradition does not demonize man for creating and changing living things--a charge often leveled at promoters of advanced technologies, like biologists, who are accused of "playing God." To the contrary, man is depicted as being the co-creator of the world. Although Atlan believes that the fabrication of life "from scratch" will take place in the near future, he posits that this achievement will not really amount to creating life current biology and biotechnologies have demonstrated that there is no absolute distinction between life and non-life, no critical threshold whose crossing would be taboo. He also debunks and demystifies our belief in free will and our conviction, of theological origin, that there would be no possibility for ethics if free will were shown to be an illusion. Throughout, he combines science, religion, and ancient and modern philosophy in unexpected and inspired ways. His radical, uncompromising Spinozism allows him to propose a complete revision of cognitive science and philosophy of mind, while showing that their current impasses stem from remnants of traditional dualism. From his brilliant reflections on time, he also derives exciting considerations for medicine and epidemiology. (shrink)

Poreskoro, with three cat and four dog heads and a snake with a forked tongue as his tail, is responsible for epidemics of contagious diseases in Romany folklore. The Pishachas of Vedic mythology lurk in charnel houses and graveyards, waiting for humans to infect with madness. In Christian demonology, Pythius is known as the ruler of the eighth circle of the Inferno, bestowing heinous and unspeakable tortures on those who have committed fraud. Demons are the stuff of legends, and they (...) are everywhere in mythology and theology. These are just three of the more than thirty I counted that start with the letter P.How lucky we are for the advent of science. A rational tonic, it scatters our demons, demystifying the world for us—or so, at least, we think. As Canales brilliantly shows in this book, our assumption has been far off the mark. In physics, computer science, genetics, neuroscience, and economics, not to mention in the very foundations of rationality itself, an underworld of imaginary creatures has sustained and continues to inhabit modern science. Scientific demons appear in many guises: as atomic and subatomic particle manipulators, as feedback and parallel-processing experts, as messengers who can travel faster than the speed of light, as computer-code spies, gene and bit selectors in evolution and in informatics, as triggers of cascades from the nano level to the level of full-blown ecological and astrophysical theaters. By inventing them, we have learned that causality does not always hold at the level of atoms, that the speed of message transmission is limited, that living systems spend energy, that perpetual-motion machines are impossible, and that there are corners of the universe we have not imagined.We have all heard of Laplace's Demon, and Maxwell's, but who knew that, borrowing from physics, the historian Henry Adams considered the action of demons in geopolitics or that the economist Paul Samuelson analyzed their role in producing more efficient markets? Who knew that the generation that gave us the Internet and artificial intelligence were tasked by their teachers in graduate school to insert as many demons as possible into their programs? Who among us has heard of Darwin's Demon, or Maxwell-Szilárd-Brillouin's, or Monod's, or Loschmidt's? Who is aware of Norbert Weiner's use of demons in conceptualizing cybernetics, or of the great scholar of Kabbalah Gershom Scholem's comparison between Israel's superfast computers and the Golem?As Canales shows convincingly, it has been difficult for both historians and scientists to countenance demons in science, and so they have been written out, in many ways and many instances, of the histories of which they are part and parcel. Thomas Kuhn and even the more radical philosopher Paul Feyerabend both failed to acknowledge in their social critiques of science the extent to which an imaginary underworld of beings has been constitutive of the modern scientific imagination. Ironically, it was the man who provided a hard-and-fast criterion by which to distinguish scientific and nonscientific pursuits, Karl Popper, who ultimately saw the light. Revisiting his classic book The Logic of Scientific Discovery from 1934, he clarified in Postscript to the Logic of Scientific Discovery in 1982 the extent to which every historical era has been characterized by a particular demon. We moderns believe that science is about facts and numbers, but we are mistaken. As Canales beautifully summarizes the stakes of her project, “What first sets science on its path of discovery—then as now—is the continued use of the imagination.”Tracking the fate of demons in modern thought from Descartes to Lord Kelvin to H. G. Wells to David Bohm, and from Conrad Hal Waddington to Henry Compton to Stephen Hawking and Steven Pinker, Bedeviled assumes that the demons of the church or of paganism and the demons of science differ and resemble each other in ways that can be usefully elaborated. What is more crucial, however, is how such demons become real, how they morph from fears to hopes, and from thought experiments into real experiments, and ultimately to things in this world like computer programs, transistors, and nanorobots. From weather systems to messenger RNAs to black holes, demons emerge everywhere. The hard question is: How does the imagination actually drive discovery and understanding? How does it change our world?Perhaps it has been a sidetrack to consider whether we have or have never been modern. Clearly, what reason will not allow, it perennially recruits for a shadowland that helps us to better see our world. Rather than aiming to exorcise science, one day, of all of its methodological and epistemological ghosts, perhaps we might make peace with the notion that every culture struggles with distinguishing truth from falsehood in its own unique way. Such struggles are sensitive to their times and are accomplished through leaps of imagination. But fear not: the debunking of “Western rationality” casts no wet blanket on the project of Enlightenment. If anything, as Canales writes, “an account of science that considers how scientists themselves do science only risks adding new insights into our repertoire of knowledge.” Perhaps, therefore, there is solace to be gained from the dictum, Always choose the Devil you know. Ultimately, there may be no other way forward. (shrink)

_The Sparks of Randomness_, Henri Atlan's magnum opus, develops his whole philosophy with a highly impressive display of knowledge, wisdom, depth, rigor, and intellectual and moral vigor. Atlan founds an ethics adapted to the new power over life that modern scientific knowledge has given us. He holds that the _results_ of science cannot ground any ethical or political truth whatsoever, while human creative activity and the conquest of knowledge are a double-edged sword. This first volume, _Spermatic Knowledge_, begins with the (...) Talmudic tale about the prophet Jeremiah's creation of a golem, or artificial man. Atlan shows that the Jewish tradition does not demonize man for creating and changing living things—a charge often leveled at promoters of advanced technologies, like biologists, who are accused of "playing God." To the contrary, man is depicted as being the co-creator of the world. Although Atlan believes that the fabrication of life "from scratch" will take place in the near future, he posits that this achievement will not really amount to _creating life_ current biology and biotechnologies have demonstrated that there is no absolute distinction between life and non-life, no critical threshold whose crossing would be taboo. He also debunks and demystifies our belief in free will and our conviction, of theological origin, that there would be no possibility for ethics if free will were shown to be an illusion. Throughout, he combines science, religion, and ancient and modern philosophy in unexpected and inspired ways. His radical, uncompromising Spinozism allows him to propose a complete revision of cognitive science and philosophy of mind, while showing that their current impasses stem from remnants of traditional dualism. From his brilliant reflections on time, he also derives exciting considerations for medicine and epidemiology. (shrink)

"Entre mythe, science et technique il existe une longue tradition de l'homme artificiel, des jaquemarts au Golem, de Frankenstein aux robots, comme si nous nous étions longuement complus, par le jeu des métaphores, à nous contempler dans le miroir de nos machines. Il en est résulté une philosophie mécaniste, de Descartes à La Mettrie qu'il faut bien évoquer. Avec la cybernétique et l'informatique, le vivant, l'esprit, la machine sont entrés dans des chevauchements beaucoup plus complexes qui ouvrent sur un néo-mécanisme. (...) Ce terme marque la volonté, au-delà de ce premier mécanisme, de penser la vie et l'intelligence artificielles, la bionique et le cyborg, l'avenir incertain de l'humain vers ce qu'il faudra peut-être appeler le post-humain. Il fallait pour cela un examen minutieux de toutes ces techniques nouvelles. La machine n'est plus seulement le support d'une vague analogie de la vie et de la pensée ; à travers l'homme réparé, augmenté par des prothèses de plus en plus intimement mêlées à la mécanique de l'organisme, elle vit, elle pense, elle raisonne. Nous assistons à la rencontre d'une pensée de l'homme-machine et de la machine humanisée, rencontre que cet ouvrage tente de penser." [Source : 4e de couv.]. (shrink)

Book Description (Blurb): Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. -/- Beginning with an overview of the historical, methodological and technical issues in the field of (...) Cognitively-Inspired Artificial Intelligence, Lieto illustrates how the cognitive design approach has an important role to play in the development of intelligent AI technologies and plausible computational models of cognition. Introducing a unique perspective that draws upon Cybernetics and early AI principles, Lieto emphasizes the need for an equivalence between cognitive processes and implemented AI procedures, in order to realise biologically and cognitively inspired artificial minds. He also introduces the Minimal Cognitive Grid, a pragmatic method to rank the different degrees of biologically and cognitive accuracy of artificial systems in order project and predict their explanatory power with respect to the natural systems taken as source of inspiration. -/- Providing a comprehensive overview of cognitive design principles in constructing artificial minds, this text will be essential reading for students and researchers of artificial intelligence and cognitive science. (shrink)

This interdisciplinary collection of classical and contemporary readings provides a clear and comprehensive guide to the many hotly-debated philosophical issues at the heart of artificial intelligence.

In the debate on whether to ban LAWS, moral arguments are mainly used. One of these arguments, proposed by Sparrow, is that the use of LAWS goes hand in hand with the responsibility gap. Together with the premise that the ability to hold someone responsible is a necessary condition for the admissibility of an act, Sparrow believes that this leads to the conclusion that LAWS should be prohibited. In this article, it will be shown that Sparrow’s argumentation for both premises (...) is not convincing. If one interprets the thesis that responsibility (first premise) is necessary in a descriptive sense, this assertion clashes with military theory and practice. And even if you focus on the normative interpretation, that claim does not stand. The second premise for Sparrow’s conclusion, namely that you cannot hold anyone responsible for LAWS’ (mis)deeds, is based on the idea that control is a necessary condition for responsibility. It will be shown that this idea too is not correct, which means that Sparrow’s control argument does not do the work it should do. From this, we can conclude that Sparrow’s justification for his claim that LAWS should be banned is insufficient, and neither can we conclude that the thesis of a responsibility gap has in any case been undermined. However, it will also be argued that someone may be responsible for the actions of LAWS, or that it cannot be excluded that one can be held responsible. (shrink)

This new volume in the acclaimed Oxford Readings in Philosophy sereis offers a selection of the most important philosophical work being done in the new and fast-growing interdisciplinary area of artificial life. Artificial life research seeks to synthesize the characteristics of life by artificial means, particularly employing computer technology. The essays here explore such fascinating themes as the nature of life, the relation between life and mind, and the limits of technology.

Reuben Hersh confided to us that, about forty years ago, the late Paul Cohen predicted to him that at some unspecified point in the future, mathematicians would be replaced by computers. Rather than focus on computers replacing mathematicians, however, our aim is to consider the (im)possibility of human mathematicians being joined by “artificial mathematicians” in the proving practice—not just as a method of inquiry but as a fellow inquirer.

Set aside fanciful doomsday speculations about AI. Even lower-level AIs, while otherwise friendly and providing us a universal basic income, would be able to do all our jobs. Also, we would over-rely upon AI assistants even in our personal lives. Thus, John Danaher argues that a human crisis of moral passivity would result However, I argue firstly that if AIs are posited to lack the potential to become unfriendly, they may not be intelligent enough to replace us in all our (...) jobs. If instead they are intelligent enough to replace us, the risk they become unfriendly increases, given that they would not need us and humans would just compete for valuable resources. Their hostility will not promote our moral passivity. Secondly, the use of AI assistants in our personal lives will become a problem only if we rely on them for almost all our decision-making and motivation. But such a (maximally) pervasive level of dependence raises the question of whether humans would accept it, and consequently whether the crisis of passivity will arise. (shrink)

본 연구는 최근 주목 받고 있는 AI에 적용 가능한 윤리적 접근법이 타당한지를 검토해 보고자 한다. 이러한 검토는 우선 AI가 과연 윤리적일 수 있는가 하는 근본적인 물음에서 부터 어떻게 기술적으로 AMA(인공 도덕행위자)를 구현 가능한가 하는 방법론의 검토를 동시에 요한다. 이는 다시 AMA가 과연 자율적인 개체로서 인식될 수 있는지에 대한 문제 와 지속적으로 논의되고 있는 AMA 관련 윤리적 접근법 또한 포함한다. 필자는 이와 관련 된 여러 논의들을 검토하고 각각의 논의들이 가진 특징 및 한계점을 분석하고자 한다. 이 러한 모든 검토들은 AMA의 근본적인 한계를 (...) 드러내려는 필자의 의도로 수렴된다. 필자는 근본적으로 AI가 자율적인 도덕행위자가 될 수 없고, 바로 이 때문에 어떤 이상적인 AMA 로도 AI가 가져올 수 있는 위험을 막을 수 없다고 주장한다. 필자는 이것이 한나 아렌트가 말한 ‘사유행위’와 같은 선상에서 비판 가능한 문제라고 생각하며 논의를 마무리 짓고자 한다. (shrink)

To a greater extent than in other technical domains, research and progress in Artificial Intelligence has always been entwined with the fictional. Its language echoes strongly with other forms of cultural narratives, such as fairytales, myth and religion. In this essay we present varied examples that illustrate how these analogies have guided not only readings of the AI enterprise by commentators outside the community but also inspired AI researchers themselves. Owing to their influence, we pay particular attention to the (...) similarities between religious language and the way in which the potential advent of greater than human intelligence is presented contemporarily. We then move on to the role that fiction, science fiction most of all, has historically played and is still playing in the discussion of AI by influencing researchers and the public, shifting the weights of different scenarios in our collectively perceived probability space. We sum up by arguing that the lore surrounding AI research, ancient and modern, points to the ancestral and shared human motivations that drive researchers in their pursuit and fascinate humanity at large. These points of narrative entanglement where AI meets the wider culture should serve to amplify the call to engage ourselves with the discussion of the potential destination of this technology. (shrink)

There is an apparent connection between reinforcement learning and agency. Artificial entities controlled by reinforcement learning algorithms are standardly referred to as agents, and the mainstream view in the psychology and neuroscience of agency is that humans and other animals are reinforcement learners. This article examines this connection, focusing on artificial reinforcement learning systems and assuming that there are various forms of agency. Artificial reinforcement learning systems satisfy plausible conditions for minimal agency, and those which use models (...) of the environment to perform forward search are capable of a form of agency which may reasonably be called action for reasons. (shrink)

Standard notions in philosophy of mind have a tendency to characterize socio-cognitive abilities as if they were unique to sophisticated human beings. However, assuming that it is likely that we are soon going to share a large part of our social lives with various kinds of artificial agents, it is important to develop a conceptual framework providing notions that are able to account for various types of social agents. Recent minimal approaches to socio-cognitive abilities such as mindreading and commitment (...) present a promising starting point from which one can expand the field of application not only to infants and non-human animals but also to artificial agents. Developing a minimal approach to the socio-cognitive ability of acting jointly, I present a foundation for future discussions about the question of how our conception of sociality can be expanded to artificial agents. (shrink)

The application of machine learning and artificial intelligence in healthcare domains has received much attention in recent years, yet significant questions remain about how these new tools integrate into frontline user workflow, and how their design will impact implementation. Lack of acceptance among clinicians is a major barrier to the translation of healthcare innovations into clinical practice. In this systematic review, we examine when and how clinicians are consulted about their needs and desires for clinical AI tools. Forty-five articles (...) met criteria for inclusion, of which 24 were considered design studies. The design studies used a variety of methods to solicit and gather user feedback, with interviews, surveys, and user evaluations. Our findings show that tool designers consult clinicians at various but inconsistent points during the design process, and most typically at later stages in the design cycle. We also observed a smaller amount of studies adopting a human-centered approach and where clinician input was solicited throughout the design process. A third of all studies reported on clinician trust in clinical AI algorithms and tools. The surveyed articles did not universally report validation against the “gold standard” of clinical expertise or provide detailed descriptions of the algorithms or computational methods used in their work. To realize the full potential of AI tools within healthcare settings, our review suggests there are opportunities to more thoroughly integrate frontline users’ needs and feedback in the design process. (shrink)

The dichotomy between the qualitative and the quantitative has been a classic throughout the history of science. As will be seen, this dichotomy permeates all ontological levels of reality. In this work, phenomenological examples potentially related to semiosis are presented at the different levels established by Mario Bunge and Josep Ferrater Mora, contrasting the qualitative categorizations with the quantifiable physical reality. Likewise, the need to continue in the quantification of the biosemiotic and linguistic studies will be presented, while, in contrast, (...) the need to establish a qualitative framework in the little-addressed study of technosemiotics will be raised, of potential interest given the notable advances that are expected in communication systems for inert artifacts in the next years. In short, in the thesis defended here the qualitative precedes the quantitative in the defining path of science. (shrink)

Focused on city-scale automation, and using self-driving cars (SDCs) as a case study, this article reflects on the role of AI—and in particular, computer vision systems used for mapping and navigation—as a catalyst for urban transformation. Urban research commonly presents AI and cities as having a one-way cause-and-effect relationship, giving undue weight to AI’s impact on cities and overlooking the role of cities in shaping AI. Working at the intersection of data science and social research, this paper aims to counter (...) this trend by exploring the reverse perspective: how do cities affect the development, and expose the present limits, of SDCs? The contribution of this paper is threefold. First, by comparing urban and nonurban environments and thoroughly examining the relationship between computer vision and city-specific sociality and form, it defines machine autonomy/automation as a function of the sociotechnical milieu in which an AI system operates. Second, and related, the paper problematizes the notion of SDCs as autonomous technologies and the role it plays in envisioning contending policy arrangements and technical solutions for achieving full driving automation. Finally, the article offers insight into a materialist and spatialized understanding of AI—namely, not as an abstract quality susceptible to replication within discrete machines, but rather as a distributed property emerging through embodied interactions among a multiplicity of agents (human, non-human, and technological) within/with their environments. (shrink)

Artificial womb technology for extracorporeal gestation of human offspring (ectogenesis or ectogestation) has profound ethical, sociological and religious implications for Muslim communities. In this article we examine the usage of the technology through the lens of Islamic ethico-legal frameworks specifically the legal maxims (al-Qawaid al-Fiqhiyyah) and higher objectives of Islamic law (Maqaṣid al-Shariah). Our analysis suggests that its application may be contingently permissible (halal) in situations of dire need such as sustaining life and development of extremely premature newborns, for (...) advancing fetal medicine and avoiding maternal co-morbidities during fetal treatment, and for enabling motherhood for women without functional wombs, or who face grave medical risks in pregnancy. However, its application may be proscribed (haram) for enabling healthy women to avoid pregnancy and childbirth, or to achieve parenthood equity. Specification of these views to particular policy, legal contexts and Fatwa will require multidisciplinary Shariah-based bioethical deliberations between jurists, policymakers, and scientists. (shrink)

The aim of this thesis is to advance a philosophically justifiable account of Artificial Moral Agency (AMA). Concerns about the moral status of Artificial Intelligence (AI) traditionally turn on questions of whether these systems are deserving of moral concern (i.e. if they are moral patients) or whether they can be sources of moral action (i.e. if they are moral agents). On the Organic View of Ethical Status, being a moral patient is a necessary condition for an entity to (...) qualify as a moral agent. This view claims that because artificial agents (AAs) lack sentience, they cannot be proper subjects of moral concern and hence cannot be considered to be moral agents. I raise conceptual and epistemic issues with regards to the sense of sentience employed on this view, and I argue that the Organic View does not succeed in showing that machines cannot be moral patients. Nevertheless, irrespective of this failure, I also argue that the entire project is misdirected in that moral patiency need not be a necessary condition for moral agency. Moreover, I claim that whereas machines may conceivably be moral patients in the future, there is a strong case to be made that they are (or will very soon be) moral agents. Whereas it is often argued that machines cannot be agents simpliciter, let alone moral agents, I claim that this argument is predicated on a conception of agency that makes unwarranted metaphysical assumptions even in the case of human agents. Once I have established the shortcomings of this “standard account”, I move to elaborate on other, more plausible, conceptions of agency, on which some machines clearly qualify as agents. Nevertheless, the argument is still often made that while some machines may be agents, they cannot be moral agents, given their ostensible lack of the requisite phenomenal states. Against this thesis, I argue that the requirement of internal states for moral agency is philosophically unsound, as it runs up against the problem of other minds. In place of such intentional accounts of moral agency, I provide a functionalist alternative, which makes conceptual room for the existence of AMAs. The implications of this thesis are that at some point in the future we may be faced with situations for which no human being is morally responsible, but a machine may be. Moreover, this responsibility holds, I claim, independently of whether the agent in question is “punishable” or not. (shrink)

This article examines if bottom-up artificial moral agents are capable of making genuine moral judgements, specifically in light of David Hume’s is-ought problem. The latter underscores the notion that evaluative assertions could never be derived from purely factual propositions. Bottom-up technologies, on the other hand, are those designed via evolutionary, developmental, or learning techniques. In this paper, the nature of these systems is looked into with the aim of preliminarily assessing if there are good reasons to suspect that, on (...) the foundational level, their moral reasoning capabilities are prone to the no-ought-from-is thesis. The main hypothesis of the present work is that, by conceptually analysing the notion of bottom-up artificial moral agents, it would be revealed that their seeming moral judgements do not have proper philosophical basis. For one, the said kinds of artifacts arrive at the understanding of ethically-relevant ideas by means of culling data or facts from the environment. Thus, in relation to the is-ought problem, it may be argued that, even if bottom-up systems seem prima facie capable of generating apparent moral judgments, such are actually absent of good moral grounding, if not empty of any ethical value. (shrink)

The aim of this paper is to clarify the extent to which relationships between Human Agents (HAs) and Artificial Agents (AAs) can be adequately defined in terms of trust. Since such relationships consist mostly in the allocation of tasks to technological products, particular attention is paid to the notion of delegation. In short, I argue that it would be more accurate to describe direct relationships between HAs and AAs in terms of reliance, rather than in terms of trust. However, (...) as mediums of human actions to which tasks are delegated, AAs indirectly mediate trust between users and other social actors involved in their design, manufacture, commercialisation and deployment. In this sense, AAs mediate social trust. My conclusion is that relationships between HAs and AAs are thus to be understood directly in terms of reliance and indirectly in terms of social trust mediation. (shrink)

O estudo filosófico da ética sobre as interações entre os seres humanos e as tecnologias que empregam a Inteligência Artificial se tornou um tópico popular e importante como nunca antes. O estudo dos problemas que concernem essas interações justifica-se por conta das transformações tecnológicas pelas quais as sociedades humanas têm passado, e que ainda podem acarretar profundas mudanças legais, políticas e sociais. O artigo tem como objetivo principal identificar o papel da ética, enquanto disciplina filosófica, com relação ao recente (...) e promissor domínio de investigação sobre a ética da Inteligência Artificial. Após apresentar a posição do filósofo Peter Railton na ética aplicada à Inteligência Artificial, o artigo reconstitui as suas explicações na ética normativa e na metaética. Ao ilustrar as conexões entre a ética aplicada à Inteligência Artificial e a teoria moral, o artigo argumenta que o papel da ética na ética da Inteligência Artificial pode ser explicitado com o auxílio da engenharia conceitual. Essa abordagem mostra que conceitos como ‘agente’ e ‘interesse’, que são cruciais para a ética, como pode ser visto nas explicações de Railton, não devem ser pensados exclusivamente pela ética, ou mesmo somente pela filosofia, mas necessitam ser informados pelas ciências naturais e humanas. O artigo enfatiza a necessidade de realizar a tarefa filosófica de pensar a ética para além da ética, em um contexto interdisciplinar capaz de lidar com os complexos problemas práticos que impactam as sociedades humanas. (shrink)

Operating universities under pandemic conditions is a complex undertaking. The Artificial University responds to this need. TAU is a configurable, open-source computer simulation of a university using a contact network based on publicly available information about university classes, residences, and activities. This study evaluates health outcomes for an array of interventions and testing protocols in an artificial university of 6,500 students, faculty, and staff. Findings suggest that physical distancing and centralized contact tracing are most effective at reducing infections, (...) but there is a tipping point for compliance below which physical distancing is less effective. If student compliance is anything short of high, it helps to have separate buildings for quarantining infected students, thereby gracefully increasing compliance. Hybrid in-person and online classes and closing fitness centers do not significantly change cumulative infections but do significantly decrease the number of the infected at any given time, indicating strategies for “flattening the curve” to protect limited resources. Supplementing physical distancing with centralized contact tracing decreases infected individuals by an additional 14%; boosting frequency of testing for student-facing staff yields a further 7% decrease. A trade-off exists between increasing the sheer number of infection tests and targeting testing for key nodes in the contact network. There are significant advantages to getting and acting on test results quickly. The costs and benefits to universities of these findings are discussed. Artificial universities can be an important decision support tool for universities, generating useful policy insights into the challenges of operating universities under pandemic conditions. (shrink)

Artificial Intelligence is supposed to perform tasks autonomously, make competent decisions, and interact socially with people. From a psychological perspective, AI can thus be expected to impact users’ three Basic Psychological Needs, namely autonomy, competence, and relatedness to others. While research highlights the fulfillment of these needs as central to human motivation and well-being, their role in the acceptance of AI applications has hitherto received little consideration. Addressing this research gap, our study examined the influence of BPN Satisfaction on (...) Intention to Use an AI assistant for personal banking. In a 2×2 factorial online experiment, 282 participants watched a video of an AI finance coach with a female or male synthetic voice that exhibited either high or low agency. In combination, these factors resulted either in AI assistants conforming to traditional gender stereotypes or in non-conforming conditions. Although the experimental manipulations had no significant influence on participants’ relatedness and competence satisfaction, a strong effect on autonomy satisfaction was found. As further analyses revealed, this effect was attributable only to male participants, who felt their autonomy need significantly more satisfied by the low-agency female assistant, consistent with stereotypical images of women, than by the high-agency female assistant. A significant indirect effects model showed that the greater autonomy satisfaction that men, unlike women, experienced from the low-agency female assistant led to higher ITU. The findings are discussed in terms of their practical relevance and the risk of reproducing traditional gender stereotypes through technology design. (shrink)

Machine learning operates at the intersection of statistics and computer science. This raises the question as to its underlying methodology. While much emphasis has been put on the close link between the process of learning from data and induction, the falsificationist component of machine learning has received minor attention. In this paper, we argue that the idea of falsification is central to the methodology of machine learning. It is commonly thought that machine learning algorithms infer general prediction rules from past (...) observations. This is akin to a statistical procedure by which estimates are obtained from a sample of data. But machine learning algorithms can also be described as choosing one prediction rule from an entire class of functions. In particular, the algorithm that determines the weights of an artificial neural network operates by empirical risk minimization and rejects prediction rules that lack empirical adequacy. It also exhibits a behavior of implicit regularization that pushes hypothesis choice toward simpler prediction rules. We argue that taking both aspects together gives rise to a falsificationist account of artificial neural networks. (shrink)