The article addresses the problem of identifying methods to develop the ability of artificial intelligence (AI) systems to provide explanations for their findings. This issue is not new, but, nowadays, the increasing complexity of AI systems is forcing scientists to intensify research in this direction. Modern neural networks contain hundreds of layers of neurons. The number of parameters of these networks reaches trillions, genetic algorithms generate thousands of generations of solutions, and the semantics of AI models become more complicated, (...) going to the quantum and non-local levels. The world’s leading companies are investing heavily in creating explainable AI (XAI). However, the result is still unsatisfactory: a person often cannot understand the “explanations” of AI because the latter makes decisions differently than a person, and perhaps because a good explanation is impossible within the framework of the classical AI paradigm. AI faced a similar problem 40 years ago when expert systems contained only a few hundred logical production rules. The problem was then solved by complicating the logic and building added knowledge bases to explain the conclusions given by AI. At present, other approaches are needed, primarily those that consider the external environment and the subjectivity of AI systems. This work focuses on solving this problem by immersing AI models in the social and economic environment, building ontologies of this environment, taking into account a user profile and creating conditions for purposeful convergence of AI solutions and conclusions to user-friendly goals. (shrink)

Does artificial intelligence (AI) exhibit consciousness or self? While this question is hotly debated, here we take a slightly different stance by focusing on those features that make possible both, namely a basic or fundamental subjectivity. Learning from humans and their brain, we first ask what we mean by subjectivity. Subjectivity is manifest in the perspectiveness and mineness of our experience which, ontologically, can be traced to a point of view. Adopting a non-reductive neurophilosophical strategy, we (...) assume that the point of view exhibits two layers, a most basic neuroecological and higher order mental layer. The neuroecological layer of the point of view is mediated by the timescales of world and brain, as further evidenced by empirical data on our sense of self. Are there corresponding timescales shared with the world in AI and is there a point of view with perspectiveness and mineness? Discussing current neuroscientific evidence, we deny that current AI exhibits a point of view, let alone perspectiveness and mineness. We therefore conclude that, as per current state, AI does not exhibit a basic or fundamental subjectivity and henceforth no consciousness or self is possible in models such as ChatGPT and similar technologies. (shrink)

Consciousness can be measured in various ways, but different measures often yield different conclusions about the extent to which awareness relates to performance. Here, we compare five different subjective measures of awareness in the context of an artificial grammar learning task. Participants expressed their subjective awareness of rules using one of five different scales: confidence ratings , post-decision wagering , feeling of warmth , rule awareness , and continuous scale . All scales were equally sensitive to conscious knowledge. PDW, (...) however, was affected by risk aversion, and both RAS and SDS applied different minimal criteria for rule awareness. CR seems to capture the largest range of consciousness, but failed to indicate unconscious knowledge with the guessing criterion. We close by discussing the theoretical implications of scale sensitivity and propose that CR’s unique features enable a finer assessment of subjective states of awareness. (shrink)

This paper reflects on the problem of endowing Artificial Intelligence with legal subjectivity, especially with regard to civil law. It is necessary to reject the myth that the criteria of legal subjectivity are sentience and reason. Arguing that AI may have potential legal subjectivity based on an analogy to animals or juristic persons suggests the existence of a single hierarchy or sequence of entities, organized according to their degree of similarity to human beings; also, that the (...) place of an entity in this hierarchy determines the scope of subjectivity attributed to it. Rather, it is participation or presence in social life, whatever the role, that is the true criterion of subjectivity. In addition, it is clear that even if AI is not currently a significant participant in social life, it will be in the nearest future. Despite the potential dangers associated with endowing AI with some kind of subjectivity, such a course is inescapable, and should be considered sooner rather than later. (shrink)

This article analyzes the shift from emotion to affect in Caryl Churchill’s writing for the theatre, a process which becomes prominent in the later seventies and culminates in the production of A Mouthful of Birds, a project designed jointly with the choreographer David Lan. The effects of the transformation remain traceable in The Skriker, a complex play taking several years to complete. It is argued that there is a tangible and logical correlation between Churchill’s dismantling of the representational apparatus associated (...) with the tradition of institutional theatre—a process which involves, primarily, a dissolution of its artificially constructed, docile bodies into orificial ones—and her withdrawal from the use of emotional expression in favour of the affective. In the following examination, emotions are conceived as interpretative acts modelled on cognition and mediated through representations while the intensity of affect remains unstructured. Often revealed through violence, pain and suffering, affect enables the theatre to venture into the pre-cognitive and thus beyond the tradition of liberal subject formation. (shrink)

The rapid development of artificial womb technologies means that we must consider if and when it is permissible to kill the human subject of ectogestation—recently termed a ‘gestateling’ by Elizabeth Chloe Romanis—prior to ‘birth’. We describe the act of deliberately killing the gestateling as gestaticide, and argue that there are good reasons to maintain that gestaticide is morally equivalent to infanticide, which we consider to be morally impermissible. First, we argue that gestaticide is harder to justify than abortion, primarily (...) because the gestateling is completely independent of its biological parents. Second, we argue that gestaticide is morally equivalent to infanticide. To demonstrate this, we explain that gestatelings are born in a straightforward sense, which entails that killing them is infanticide. However, to strengthen our overall claim, we also show that if gestatelings are not considered to have been born, killing them is still equivalent to killing neonates with congenital anomalies and disabilities, which again is infanticide. We conclude by considering how our discussion of gestaticide has implications for the permissibility of withdrawing life-sustaining treatment from gestatelings. (shrink)

This article analyzes the legal-philosophical situation of Artificial Intelligence and the intelligent robot on being a subject of Law to be considered a creative person or author. The contradiction involved in allowing an object to present the legal duality of being protected as an object that it is and at the same time being considered a subject by the resulting work is analyzed, an impairment or vulgarization for the subject of Law as a moral subject when proposing the fictio (...) legis de a moral object, which is not conceivable. Instead, an alternative to such an aporia is proposed, more fictitious than real. (shrink)

Artificial Knowing challenges the masculine slant in the Artificial Intelligence (AI) view of the world. Alison Adam admirably fills the large gap in science and technology studies by showing us that gender bias is inscribed in AI-based computer systems. Her treatment of feminist epistemology, focusing on the ideas of the knowing subject, the nature of knowledge, rationality and language, are bound to make a significant and powerful contribution to AI studies. Drawing from theories by Donna Haraway and Sherry (...) Turkle, and using tools of feminist epistemology, Adam provides a sustained critique of AI which interestingly re-enforces many of the traditional criticisms of the AI project. Artificial Knowing is an esential read for those interested in gender studies, science and technology studies, and philosophical debates in AI. (shrink)

AI enters more and more spheres of personal and public life, the topic becomes the object of much discussion. The expanding possibilities of these technologies give rise to the need to introduce ethical and legal regulation in order to control them. Hence the question arises as to how far a system can be considered an autonomous entity, similar to the individual possessing this capability. This article examines the question of whether a system with artificial intelligence can be considered a (...) subject in ethical and legal aspect. The aim is to demonstrate the difference between human thinking and behaviour and the activities performed by AI systems in order to outline a framework with ethical and legal norms governing the creation and use of AI. By applying a multidisciplinary approach combining the analysis of philosophical and legal notions of the subject, concepts such as intellect, autonomy, moral and legal responsibility are explored. The conclusion is that no matter how developed these systems are, they cannot be defined as subjects because they cannot perform fully conscious acts and cannot be held morally or legally responsible. (shrink)

This paper argues that AI follows classical versions of epistemology in assuming that the identity of the knowing subject is not important. In other words this serves to `delete the subject''. This disguises an implicit hierarchy of knowers involved in the representation of knowledge in AI which privileges the perspective of those who design and build the systems over alternative perspectives. The privileged position reflects Western, professional masculinity. Alternative perspectives, denied a voice, belong to less powerful groups including women. Feminist (...) epistemology can be used to approach this from new directions, in particular, to show how women''s knowledge may be left out of consideration by AI''s focus on masculine subjects. The paper uncovers the tacitly assumed Western professional male subjects in two flagship AI systems, Cyc and Soar. (shrink)

The article examines the challenges involved in the process of developing artificial ethical agents. The process involves the creators or designing professionals, the procedures to develop an ethical agent and the artificial systems. There are two possibilities available to create artificial ethical agents: (a) programming ethical guidance in the artificial Intelligence (AI)-equipped machines and/or (b) allowing AI-equipped machines to learn ethical decision-making by observing humans. However, it is difficult to fulfil these possibilities due to the subjective (...) nature of ethical decision-making. The challenge related to the developers is that they themselves lack training in ethical skills. The creators who develop an artificial ethical agent should be able to foresee the ethical issues and have knowledge about ethical decision-making to improve the ethical use of AI-equipped machines. The suggestion is that the focus should be on training professionals involved in the process of developing these artificial systems in ethics rather than developing artificial ethical agents and thereby attributing ethical agency to it. (shrink)

The purpose of this book, originally published in 1987, was to contribute to the advance of artificial intelligence by clarifying and removing the major sources of philosophical confusion at the time which continued to preoccupy scientists and thereby impede research. Unlike the vast majority of philosophical critiques of AI, however, each of the authors in this volume has made a serious attempt to come to terms with the scientific theories that have been developed, rather than attacking superficial 'straw men' (...) which bear scant resemblance to the complex theories that have been developed. For each is convinced that the philosopher's responsibility is to contribute from his own special intellectual point of view to the progress of such an important field, rather than sitting in lofty judgement dismissing the efforts of their scientific peers. The aim of this book is thus to correct some of the common misunderstandings of its subject. The technical term Artificial Intelligence has created considerable unnecessary confusion because of the ordinary meanings associated with it, and for that very reason, the term is endlessly misused and abused. The essays collected here all aim to expound the true nature of AI, and to remove the ill-conceived philosophical discussions which seek answers to the wrong questions in the wrong ways. Philosophical discussions and decisions about the proper use of AI need to be based on a proper understanding of the manner in which AI-scientists achieve their results; in particular, in their dependence on the initial planning input of human beings. The collection combines the Anglo-Saxon school of analytical philosophy with scientific and psychological methods of investigation. The distinguished authors in this volume represent a cross-section of philosophers, psychologists, and computer scientists from all over the world. The result is a fascinating study in the nature and future of AI, written in a style which is certain to appeal and inform laymen and specialists alike. has created considerable unnecessary confusion because of the ordinary meanings associated with it, and for that very reason, the term is endlessly misused and abused. The essays collected here all aim to expound the true nature of AI, and to remove the ill-conceived philosophical discussions which seek answers to the wrong questions in the wrong ways. Philosophical discussions and decisions about the proper use of AI need to be based on a proper understanding of the manner in which AI-scientists achieve their results; in particular, in their dependence on the initial planning input of human beings. The collection combines the Anglo-Saxon school of analytical philosophy with scientific and psychological methods of investigation. The distinguished authors in this volume represent a cross-section of philosophers, psychologists, and computer scientists from all over the world. The result is a fascinating study in the nature and future of AI, written in a style which is certain to appeal and inform laymen and specialists alike. inform laymen and specialists alike. (shrink)

Artificial devices that functionally replace internal organs are likely to be more common in the future. They are becoming more and more technologically feasible, increases in chronic diseases that can compromise various organs are anticipated, and donor organs will remain necessarily limited. More people in the future may have bodies that are partly nonorganic. How might artificial organs affect how we experience and conceptualize our bodies and how we understand the relation of the body to the experiencing, acting (...) subject, or self? Here, I focus on artificial heart devices (AHDs), including total artificial hearts (TAHs) and ventricular assist devices (VADs). While other devices, such as pacemakers and implantable cardiac defibrillators, assist the heart, I focus on devices that replace rather than assist organic function. AHDs, I argue, may have two opposing effects. On the one hand, having an AHD could alter experience, seemingly confirming that selves are shaped by the specifics of embodiment. On the other hand, AHDs are likely to encourage people to regard bodies as machines that are separable from the self. AHDs thus both confirm and undermine a body-self dualism. People with these devices may come to regard their bodies as machinelike even while having an artificial part alters their subjective experience. (shrink)

1. WHAT IS ARTIFICIAL INTELLIGENCE? One of the fascinating aspects of the field of artificial intelligence (AI) is that the precise nature of its subject ..

In a recent publication, I argued that there is a conceptual difference between artificial womb (AW) technology, capable of facilitating gestation ex utero, and neonatal intensive care, providing incubation to neonates born prematurely. One of the reasons I provided for this distinction was that the subjects of each process are different entities. The subject of the process of gestation ex utero is a unique human entity: a ‘gestateling’, rather than a fetus or a newborn preterm neonate. Nick Colgrove wrote (...) a response to my paper, claiming that my distinction between the subject of an AW and a newborn (in intensive care) was false. He claims that I have not accounted for the proper definition of ‘birth’ and that gestatelings are not a distinct product of human reproduction. Further, Colgrove posits that even if I can successfully distinguish gestatelings from preterms, such a distinction is morally irrelevant because the entities would have the same moral status. In this paper, I address the three challenges raised and defend the claim that gestatelings are unique entities. Moreover, I argue that moral status should not be considered ipso facto determinative in the debate about AWs. (shrink)

In 2017, a Philadelphia research team revealed the closest thing to an artificial womb the world had ever seen. The ‘biobag’, if as successful as early animal testing suggests, will change the face of neonatal intensive care. At present, premature neonates born earlier than 22 weeks have no hope of survival. For some time, there have been no significant improvements in mortality rates or incidences of long-term complications for preterms at the viability threshold. Artificial womb technology, that might (...) change these odds, is eagerly anticipated for clinical application. We need to understand whether AWT is an extension of current intensive care or something entirely new. This question is central to determining when and how the biobag should be used on human subjects. This paper examines the science behind AWT and advances two principal claims. First, AWT is conceptually different from conventional intensive care. Identifying why AWT should be understood as distinct demonstrates how it raises different ethico-legal questions. Second, these questions should be formulated without the ‘human being growing in the AW’ being described with inherently value laden terminology. The ‘human being in an AW’ is neither a fetus nor a baby, and the ethical tethers associated with these terms could perpetuate misunderstanding and confusion. Thus, the term ‘gestateling’ should be adopted to refer to this new product of human reproduction: a developing human being gestating ex utero. While this paper does not attempt to solve all the ethical problems associated with AWT, it makes important clarifications that will enable better formulation of relevant ethical questions for future exploration. (shrink)

THE CASE FOR GOVERNMENT BY ARTIFICIAL INTELLIGENCE. Tired of election madness? The rhetoric of politicians? Their unreliable promises? And less than good government? -/- Until recently, it hasn’t been hard for people to give up control to computers. Not very many people miss the effort and time required to do calculations by hand, to keep track of their finances, or to complete their tax returns manually. But relinquishing direct human control to self-driving cars is expected to be more of (...) a challenge, despite the predicted decrease in vehicle accidents thanks to artificial intelligence that isn’t subject to human distractions and errors of judgment. -/- If turning vehicle control over to artificial intelligence is a challenge, it is a very mild one compared with the idea that we might one day recognize and want to implement the advantages of human government by AI. But, like autonomous vehicle control, government by AI is likely to offer decided benefits. -/- In other publications, the author has studied a variety of widespread human limitations that, throughout human history, have led to much human suffering as well as ecological destruction. For the first time, these psychological and cognitive human shortcomings are taken into account in an essay that makes the case for government by artificial intelligence. (shrink)

In 2017 and 2019, two research teams claimed ‘proof of principle’ for artificial womb technology (AWT). AWT has long been a subject of speculation in bioethical literature, with broad consensus that it is a welcome development. Despite this, little attention is afforded to more immediate ethical problems in the development of AWT, particularly as an alternative to neonatal intensive care. To start this conversation, I consider whether experimental AWT is innovative treatment or medical research. The research–treatment distinction, pervasive in (...) regulation worldwide, is intended to isolate research activities and subject them to a greater degree of oversight. I argue that there is a tendency in the literature to conceptualize AWT for partial ectogenesis as innovative treatment. However, there are sufficiently serious ethical concerns with experimental AWT that mean that it must not be first used on humans on the basis that it is a ‘beneficial treatment’. First, I outline the prospects for translation of AWT animal studies into treatment for human preterms. Second, I challenge the conceptualizations of experimental AWT as innovative treatment. It must be considered medical research to reflect the investigatory nature of the process and guarantee sufficient protections for subjects. Identifying that AWT is research is crucial in formulating further ethico‐legal questions regarding the experimental use of AWT. Third, I demonstrate that clinical trials will be a necessary part of the clinical translation of AWT because of requirements laid out by regulators. I consider the justification for clinical trials and highlight some of the crucial ethical questions about the conditions under which they should proceed. (shrink)

In this paper I will argue that artificial moral agents are a fitting subject of intercultural information ethics because of the impact they may have on the relationship between information rich and information poor countries. I will give a limiting definition of AMAs first, and discuss two different types of AMAs with different implications from an intercultural perspective. While AMAs following preset rules might raise con-cerns about digital imperialism, AMAs being able to adjust to their user‘s behavior will lead (...) us to the question what makes an AMA ―moral‖? I will argue that this question does present a good starting point for an inter-cultural dialogue which might be helpful to overcome the notion of Africa as a mere victim. (shrink)

Artificial Intelligence (AI) is a high-profile subject these days. In its brief history it has undergone several highs and lows and suffered from significant degrees of hype as well as antagonism and fear. One thing is clear: we are no closer to the goal of producing a truly sentient being than when it started. Nonetheless, the tools developed by AI researchers are here to stay and as with all technological advances it has its good and bad aspects. In this (...) article I will present a brief overview of the field of AI looking at what it is, how it developed, what are its specialism as well as some of its well-publicised successes, and failures, as well as pointing out some key Christian participants in the story. (shrink)

How has multiplicity superseded impossibility in philosophical challenges to artificial consciousness? I assess a trajectory in recent debates on artificial consciousness, in which metaphysical and explanatory challenges to the possibility of building conscious machines lead to epistemological concerns about the multiplicity underlying ‘what it is like’ to be a conscious creature or be in a conscious state. First, I analyse earlier challenges which claim that phenomenal consciousness cannot arise, or cannot be built, in machines. These are based on (...) Block’s Chinese Nation and Chalmers’ Hard Problem. To defuse such challenges, theorists of artificial consciousness can appeal to empirical methods and models of explanation. Second, I explain why this naturalistic approach produces an epistemological puzzle on the role of biological properties in phenomenal consciousness. Neither behavioural tests nor theoretical inferences seem to settle whether our machines are conscious. Third, I evaluate whether the new challenge can be managed through a more fine-grained taxonomy of conscious states. This strategy is supported by the development of similar taxonomies for biological species and animal consciousness. Although it makes sense of some current models of artificial consciousness, it raises questions about their subjective and moral significance. (shrink)

And why is there a subjective component to experience?). It is easy to see that the separation between Weak and Strong Artificial Consciousness mirrors the separation between the easy problems and the hard problems of consciousness.

The increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorithms, has brought about new ways of engaging with users, collecting their data and potentially influencing their behavior. However, these technologies and techniques have also raised concerns about the potential for manipulation, as they offer unprecedented capabilities for targeting and influencing individuals on a large scale and in a more subtle, automated (...) and pervasive manner than ever before. This paper, provides a narrative review of the existing literature on manipulation, with a particular focus on the role of AI and associated digital technologies. Furthermore, it outlines an account of manipulation based of four key requirements: intentionality, asymmetry of outcome, non-transparency and violation of autonomy. I argue that while manipulation is not a new phenomenon, the pervasiveness, automaticity, and opacity of certain digital technologies may raise a new type of manipulation, called “digital manipulation”. I call “digital manipulation” any influence exerted through the use of digital technology that is intentionally designed to bypass reason and to produce an asymmetry of outcome between the data processor (or a third party that benefits thereof) and the data subject. Drawing on insights from psychology, sociology, and computer science, I identify key factors that can make manipulation more or less effective, and highlight the potential risks and benefits of these technologies for individuals and society. I conclude that manipulation through AI and associated digital technologies is not qualitatively different from manipulation through human–human interaction in the physical world. However, some functional characteristics make it potentially more likely of evading the subject’s cognitive defenses. This could increase the probability and severity of manipulation. Furthermore, it could violate some fundamental principles of freedom or entitlement related to a person’s brain and mind domain, hence called neurorights. To this end, an account of digital manipulation as a violation of the neuroright to cognitive liberty is presented. (shrink)

Recently, I argued that human subjects in artificial wombs (AWs) “share the same moral status as newborns” and so, deserve the same treatment and protections as newborns. This thesis rests on two claims: (A) “Subjects of partial ectogenesis—those that develop in utero for at time before being transferred to AWs—are newborns,” and (B) “Subjects of complete ectogenesis—those who develop in AWs entirely—share the same moral status as newborns.” In response, Elizabeth Chloe Romanis argued that the subject in an AW (...) is “a unique human entity…rather than a fetus or a newborn.” She provides four lines of response to my essay. First, she argues that I have “misconstrued” what birth is. Once we correct that error, it becomes clear that subjects of partial ectogenesis have not been born. Second, she argues that my claims imply that non-implanted embryos (existing in vivo) “would also be ‘born.’” But that is absurd. Third, she claims I fail to “meaningfully respond” to distinctions she draws between subjects of ectogenesis and neonates. Finally, she criticizes my essay for focusing on subjects of AWs rather than focusing on pregnant persons (who should be at the “centre” of debates over AWs). I respond to each of these charges. In doing so, I reaffirm that (contra Romanis) some subjects of ectogenesis are newborns and all subjects of ectogenesis—even those that have not been born—share the same moral status as newborns. (shrink)

Artificial Immune Systems (AIS) are intelligent algorithms derived on the principles inspired by human immune system. In this research work, electroencephalography (EEG) signals for four distinct motor movement of human limbs are detected and classified using Negative Selection Classification Algorithm (NSCA). For this study, a widely studied open source EEG signal database (BCI IV - Graz dataset 2a, comprising 9 subjects) has been used. Mel Frequency Cepstral Coefficients (MFCCs) are extracted as selected feature from recorded EEG signals. Dimensionality reduction (...) of data is carried out by applying two hidden layered stacked auto-encoder. Genetic Algorithm (GA) optimized detectors (Artificial Lymphocytes) are trained using Negative Selection Algorithm (NSA) for detection and classification of four motor movements. The trained detectors consist of four sets of detectors, each set is trained for detection and classification of one of the four movements from the other three movements. The optimized radius of detector is small enough not to mis-detect the sample. Euclidean distance of each detector with every training dataset sample is taken and compared with optimized radius of detector as a non-self detector. Our proposed approach achieved a mean classification accuracy of 86.39% for limb movements over 9 subjects with a maximum individual subject classification accuracy of 97.5 % for subject number eight. (shrink)

As artificial intelligence becomes ubiquitous, it will be increasingly involved in novel, morally significant situations. Thus, understanding what it means for a machine to be morally responsible is important for machine ethics. Any method for ascribing moral responsibility to AI must be intelligible and intuitive to the humans who interact with it. We argue that the appropriate approach is to determine how AIs might fare on a standard account of human moral responsibility: a Strawsonian account. We make no claim (...) that our Strawsonian approach is either the only one worthy of consideration or the obviously correct approach, but we think it is preferable to trying to marry fundamentally different ideas of moral responsibility into a single cohesive account. Under a Strawsonian framework, people are morally responsible when they are appropriately subject to a particular set of attitudes—reactive attitudes—and determine under what conditions it might be appropriate to subject machines to this same set of attitudes. Although the Strawsonian account traditionally applies to individual humans, it is plausible that entities that are not individual humans but possess these attitudes are candidates for moral responsibility under a Strawsonian framework. We conclude that weak AI is never morally responsible, while a strong AI with the right emotional capacities may be morally responsible. (shrink)

In this paper, we explore how the prospect of artificial placenta technology (nearing clinical trials in human subjects) should encourage further consideration of the loss experienced by individuals when their pregnancy ends unexpectedly. Discussions of pregnancy loss are intertwined with procreative loss, whereby the gestated entity has died when the pregnancy ends. However, we demonstrate how pregnancy loss can and does exist separate to procreative loss in circumstances where the gestated entity survives the premature ending of the pregnancy. In (...) outlining the value that can be attached to pregnancy beyond fetal-centric narratives, we illustrate how pregnancy loss, separate to procreative loss, can be experienced. This loss has already been recognised among parents who have experienced an unexpected early ending of their pregnancy, resulting in their child being cared for in neonatal intensive care unit. Artificial placentas, however, may exacerbate these feelings and make pregnancy loss (without procreative loss) more visible. We argue that pregnancy is an embodied state in which gestation is facilitated by the body but gestation itself should be recognised as a process—and one that could be separable from pregnancy. In demarcating the two, we explore the different ways in which pregnancy loss can be understood. Our objective in this paper goes beyond contributing to our philosophical understanding of pregnancy towards practical-orientated conclusions regarding the care pathways surrounding the artificial placenta. We make recommendations including the need for counselling and careful consideration of the language used when an artificial placenta is used. (shrink)

Recent work in artificial intelligence has increasingly turned to argumentation as a rich, interdisciplinary area of research that can provide new methods related to evidence and reasoning in the area of law. Douglas Walton provides an introduction to basic concepts, tools and methods in argumentation theory and artificial intelligence as applied to the analysis and evaluation of witness testimony. He shows how witness testimony is by its nature inherently fallible and sometimes subject to disastrous failures. At the same (...) time such testimony can provide evidence that is not only necessary but inherently reasonable for logically guiding legal experts to accept or reject a claim. Walton shows how to overcome the traditional disdain for witness testimony as a type of evidence shown by logical positivists, and the views of trial sceptics who doubt that trial rules deal with witness testimony in a way that yields a rational decision-making process. (shrink)

In this article, we suggest that the study of social interactions and the development of a “sense of agency” in joint action can help determine the content of relevant explanations to be implemented in artificial systems to make them “explainable.” The introduction of automated systems, and more broadly of Artificial Intelligence, into many domains has profoundly changed the nature of human activity, as well as the subjective experience that agents have of their own actions and their consequences – (...) an experience that is commonly referred to as sense of agency. We propose to examine the empirical evidence supporting this impact of automation on individuals’ sense of agency, and hence on measures as diverse as operator performance, system explicability and acceptability. Because of some of its key characteristics, AI occupies a special status in the artificial systems landscape. We suggest that this status prompts us to reconsider human–AI interactions in the light of human–human relations. We approach the study of joint actions in human social interactions to deduce what key features are necessary for the development of a reliable sense of agency in a social context and suggest that such framework can help define what constitutes a good explanation. Finally, we propose possible directions to improve human–AI interactions and, in particular, to restore the sense of agency of human operators, improve their confidence in the decisions made by artificial agents, and increase the acceptability of such agents. (shrink)

Artificial intelligence (AI) and robotics are digital technologies that will have significant impact on the development of humanity in the near future. They have raised fundamental questions about what we should do with these systems, what the systems themselves should do, what risks they involve, and how we can control these. - After the Introduction to the field (§1), the main themes (§2) of this article are: Ethical issues that arise with AI systems as objects, i.e., tools made and (...) used by humans. This includes issues of privacy (§2.1) and manipulation (§2.2), opacity (§2.3) and bias (§2.4), human-robot interaction (§2.5), employment (§2.6), and the effects of autonomy (§2.7). Then AI systems as subjects, i.e., ethics for the AI systems themselves in machine ethics (§2.8) and artificial moral agency (§2.9). Finally, the problem of a possible future AI superintelligence leading to a “singularity” (§2.10). We close with a remark on the vision of AI (§3). - For each section within these themes, we provide a general explanation of the ethical issues, outline existing positions and arguments, then analyse how these play out with current technologies and finally, what policy consequences may be drawn. (shrink)

A series of recent debates in experimental economics have associated demand effects with the artificiality of the experimental setting and have linked it to the problem of external validity. In this paper, we argue that these associations can be misleading, partly because of the ambiguity with which “artificiality” has been defined, but also because demand effects and external validity are related in complex ways. We argue that artificiality may be directly as well as inversely correlated with demand effects. We also (...) distinguish between the demand effects of experimentation and the reactions that they may trigger and that might endanger experimental validity. We conclude that economists should pay more attention to the way in which subjects construe the experimental task and learn to exploit subjects’ reactivity to expectations in their experiments. (shrink)

This paper investigates the concept of behavioral autonomy in Artificial Life by drawing a parallel to the use of teleological notions in the study of biological life. Contrary to one of the leading assumptions in Artificial Life research, I argue that there is a significant difference in how autonomous behavior is understood in artificial and biological life forms: the former is underlain by human goals in a way that the latter is not. While behavioral traits can be (...) explained in relation to evolutionary history in biological organisms, in synthetic life forms behavior depends on a design driven by a research agenda, further shaped by broader human goals. This point will be illustrated with a case study on a synthetic life form. Consequently, the putative epistemic benefit of reaching a better understanding of behavioral autonomy in biological organisms by synthesizing artificial life forms is subject to doubt: the autonomy observed in such artificial organisms may be a mere projection of human agency. Further questions arise in relation to the need to spell out the relevant human aims when addressing potential social or ethical implications of synthesizing artificial life forms. (shrink)

The objective of this paper is to posit a critique of the contemporary critique of the notion of selfhood in the philosophy of mind and cognitive neuroscience. The research in artificial intelligence (AI) as the science of intelligence per se and/or of cognition, in general, has been considered and employed as a formidable theoretical tool in sustaining philosophical arguments for the denial of the existence of the Self or selfhood in the human person. It has revitalized the philosophical problematics (...) of the existence or otherwise, of consciousness, intelligence, and autonomy not only in biological systems but also in non-biological systems and the deepening of the body-soul and/or brain-mind problem in the philosophy of mind. This paper will give an exposition of the critique of selfhood in the human person, especially as expounded by Daniel Dennett. It will also posit a counter-critique of the critique of selfhood based on John Eccles’s dualistic-interactionalist philosophy of neuroscience and Karol Wojtyła’s philosophical anthropology based on the notion of suppositum. Hence, it shall defend the philosophical anthropology of the human person as a metaphysical suppositum possessing ontological subjectivity. (shrink)

In this essay, I describe and explain the standard accounts of agency, natural agency, artificial agency, and moral agency, as well as articulate what are widely taken to be the criteria for moral agency, supporting the contention that this is the standard account with citations from such widely used and respected professional resources as the Stanford Encyclopedia of Philosophy, Routledge Encyclopedia of Philosophy, and the Internet Encyclopedia of Philosophy. I then flesh out the implications of some of these well-settled (...) theories with respect to the prerequisites that an ICT must satisfy in order to count as a moral agent accountable for its behavior. I argue that each of the various elements of the necessary conditions for moral agency presupposes consciousness, i.e., the capacity for inner subjective experience like that of pain or, as Nagel puts it, the possession of an internal something-of-which-it is-is-to-be-like. I ultimately conclude that the issue of whether artificial moral agency is possible depends on the issue of whether it is possible for ICTs to be conscious. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:On the Conceivability of Artificially Created EnlightenmentPaul Andrew PowellPointsman can only possess the zero and the one. He cannot, like [Roger] Mexico, survive anyplace in between.... [H]e imagines the cortex of the brain as a mosaic of tiny on/off elements.... [E]ach point is allowed only the two states:... [o]ne or zero.... [B]rain mechanics assumes the presence of these bi-stable points....If ever the Anti-pointsman existed, Roger Mexico is the man.... (...) How can Mexico play, so at his ease, with these symbols of randomness and fright? Innocent as a child, perhaps unaware—perhaps—that in his play he wrecks the elegant rooms of history.—Thomas Pynchon, Gravity's RainbowWhen I first read about the Dalai Lama's remark that "if all the external conditions and the karmic action were there, a stream of consciousness might actually enter into a computer,"1 I couldn't help but wonder if a computer could then attain enlightenment. The answer, at first, seemed simple and obvious (though perhaps distasteful for some): if the machine was self-aware, sentient, and conscious, then it would be only reasonable to assume that it could also attain enlightenment. Yes, simple and obvious, of course, but this takes for granted some very large and complex issues. After all, what makes for self-awareness, sentience, and consciousness to begin with, and how would we manufacture them in a machine?If we take a moment to think about the creation of artificial enlightenment the paradox becomes clear. In order to manufacture enlightenment, we must first manufacture samsara, because for a Buddhist, enlightenment is the "event" of deconstructing the problematic natures of "self," sentience (suchness), and consciousness, all of which are samsaric illusions. "Self," sentience, and consciousness represent the prerequisites of samsara/Nirvana, realized or unrealized, artificial or organic. They represent the prerequisites of desire. They represent the prerequisites for the illusion of death and birth. And thus they represent the truly salient issues that must be addressed before we can assemble our complicated hard (and soft) ware. Interestingly, because computational information consists of a conceptualized, dualistic [End Page 123] binary system of ones and zeroes, and because the nature of Nirvana/samsara also consists of a conceptualized, dualistic system of "self"/"other," technology, in theory anyway, may probably be capable of manufacturing a facsimile of samsara, if only because computational information is, by its very nature, samsaric to begin with. Of course, all this demands that consciousness, self-awareness, and sentience be a function of information processing. Personally, I believe they are, and that, in fact, the words information and samsara are synonymous with one another. Thus it follows that information technology will most certainly be capable of manufacturing the prerequisites, at least, of enlightenment. If that blunt statement strikes you as utterly preposterous, technically impossible, or even offensive, you might want to first read any number of excellent texts describing the future of artificial intelligence (AI). Two of the best popular books on the subject are Robot by Hans Moravec and The Age of Spiritual Machines by Ray Kurzweil. These will assuage your doubts concerning the soft problem, or, as it is sometimes called, the nuts-and-bolts problem.With these considerations in mind, let's see what we can come up with.In order to arrive at what you are not You must go through the way in which you are not.—T.S. Eliot, "East Coker" (The Four Quartets)For most Buddhists, enlightenment can be defined as seeing through the illusion of the self and experiencing unadulterated suchness. In the words of Master Wolfgang Kopp, "The seer, the seen, and the process of seeing are one. The thinker, the thought, and the process of thinking fall together into one and multiplicity melts away. There is neither inside, nor outside in this state. There is only 'suchness,' tathata."2 So, enlightenment is suchness, or, things as they are, revealed as all that there is. As engineers of enlightenment, it would appear then that are at least two components we need to build into our machine: an illusionary "self" and suchness, or things as they are. As we shall see, the... (shrink)

This paper has two main parts. In the first part, we motivate a kind of indeterminate, suppositional credences by discussing the prospect for a subjective interpretation of a causal Bayesian network, an important tool for causal reasoning in artificial intelligence. A CBN consists of a causal graph and a collection of interventional probabilities. The subjective interpretation in question would take the causal graph in a CBN to represent the causal structure that is believed by an agent, and interventional probabilities (...) in a CBN to represent suppositional credences. We review a difficulty noted in the literature with such an interpretation, and suggest that a natural way to address the challenge is to go for a generalization of CBN that allows indeterminate credences. In the second part, we develop a decision-theoretic foundation for such indeterminate suppositional credences, by generalizing a theory of coherent choice functions to accommodate some form of act-state dependence. The upshot is a decision-theoretic framework that is not only rich enough to, so to speak, ground the probabilities in a subjectively interpreted causal network, but also interesting in its own right, in that it accommodates both act-state dependence and imprecise probabilities. (shrink)

Following the studies of Araujo et al. (AI Soc 35:611–623, 2020) and Lee (Big Data Soc 5:1–16, 2018), this empirical study uses two scenario-based online experiments. The sample consists of 221 subjects from Germany, differing in both age and gender. The original studies are not replicated one-to-one. New scenarios are constructed as realistically as possible and focused on everyday work situations. They are based on the AI acceptance model of Scheuer (Grundlagen intelligenter KI-Assistenten und deren vertrauensvolle Nutzung. Springer, Wiesbaden, 2020) (...) and are extended by individual descriptive elements of AI systems in comparison to the original studies. The first online experiment examines decisions made by artificial intelligence with varying degrees of impact. In the high-impact scenario, applicants are automatically selected for a job and immediately received an employment contract. In the low-impact scenario, three applicants are automatically invited for another interview. In addition, the relationship between age and risk perception is investigated. The second online experiment tests subjects’ perceived trust in decisions made by artificial intelligence, either semi-automatically through the assistance of human experts or fully automatically in comparison. Two task types are distinguished. The task type that requires “human skills”—represented as a performance evaluation situation—and the task type that requires “mechanical skills”—represented as a work distribution situation. In addition, the extent of negative emotions in automated decisions is investigated. The results are related to the findings of Araujo et al. (AI Soc 35:611–623, 2020) and Lee (Big Data Soc 5:1–16, 2018). Implications for further research activities and practical relevance are discussed. (shrink)

The subject of this study is the participants in artificial sociality (humans and artificial intelligence (AI) tools) and communication between them. The first section analyses (using Luhmann’s methodology) communication as the basis of sociality. The second section shows how AI tools became social technologies in the framework of artificial sociality. The third section describes experimental communication between authors and AI tools (the case of ChatGPT). For the first time in the Baltic countries, the authors examined sociological, humanitarian, (...) natural and technological aspects of the functioning AI tools, which participate in creation of a new social reality for human society – artificial sociality. (shrink)

I claim that the increase in complexity in the trace of Paleolithic stone tools can be parsimoniously explained by postulating the emergence of effective mechanisms for the social transmission of representations. I propose that Paleolithic tools, similar to more contemporary tools, were subject to a process of evolution by artificial selection based on functionality.

Subjects of ectogenesis—human beings that are developing in artificial wombs (AWs)—share the same moral status as newborns. To demonstrate this, I defend two claims. First, subjects of partial ectogenesis—those that develop in utero for a time before being transferred to AWs—are newborns (in the full sense of the word). Second, subjects of complete ectogenesis—those who develop in AWs entirely—share the same moral status as newborns. To defend the first claim, I rely on Elizabeth Chloe Romanis’s distinctions between fetuses, newborns (...) and subjects of ectogenesis. For Romanis, the subject of partial ectogenesis ‘is neither a fetus nor a baby’ but is, instead, a ‘new product of human reproduction’. In this essay, I begin by, expanding upon Romanis’s argument that subjects of partial ectogenesis are not fetuses while arguing that those subjects are newborns. Next, I show that the distinction that Romanis draws between subjects of partial ectogenesis and newborns needs to be revised. The former is a kind of the latter. This leads us to an argument that shows why different moral statuses cannot be justifiably assigned to subjects of partial ectogenesis and subjects of complete ectogenesis, respectively. As subjects of partial ectogenesis share the same moral status as newborns, it follows that subjects of complete ectogenesis share the same moral status as newborns as well. I conclude by considering implications that this essay may have for the research and development of AW technology and conceptual links between a subject’s moral status and birth. (shrink)

Obsession toward technology has a long background of parallel evolution between humans and machines. This obsession became irrevocable when AI began to be a part of our daily lives. However, this AI integration became a subject of controversy when the fear of AI advancement in acquiring consciousness crept among mankind. Artificial consciousness is a long-debated topic in the field of artificial intelligence and neuroscience which has many ethical challenges and threats in society ranging from daily chores to Mars (...) missions. This paper deals with the impact of AI-based science fiction films in society. This study aims to investigate the fascinating AI concept of artificial consciousness in light of posthuman terminology, technological singularity and superintelligence by analyzing the set of science fiction films to project the actual difference between science fictional AI and operational AI. Further, this paper explores the theoretical possibilities of artificial consciousness through a range of neuroscientific theories that are related to AI development. These theories are built toward prospective artificial consciousness in AI. This study discloses the posthuman fallacies that are built around the fear of AI acquiring artificial consciousness and its outcome. (shrink)

The study aims to identify the adequacy of the UAE Commercial Law in 2023 in regulating artificial intelligence as a subject of the contract, This will be done by searching for the way in which the UAE legislator intervened to control the good and effective use of artificial intelligence, whether it was able to reconcile between protecting the interests of the parties to the transaction and encouraging technological development and investment in artificial intelligence to achieve the goals (...) of the National Strategy for Artificial Intelligence. Then, the cases of using artificial intelligence as a subject for commercial transactions will be highlighted, because artificial intelligence is considered one of the funds and products that can be the subject of commercial transactions between professional traders, which remain subject to the applicable legislation, even those that link the trader to the consumer due to the availability of the elements of the consumer process in this type of transaction, which is concerned with protecting the consumer because the consumer transaction must be carried out with transparency and responsibility. However, as a result of the privacy of such transactions, the current legislation does not appear sufficient, but rather work must be done to establish legislative provisions to control dealings in artificial intelligence at the local and international levels to govern artificial intelligence. (shrink)

The article considers modern transformations of the ideas concerning subject’s cognitive abilities towards object because of the emergence and development of artificial intelligence (AI) technologies. The developments of scientists and engineers from National Research University of Electronic Technology (Moscow, Russia) in the field of artificial intelligence have been taken as a foundation and material of this research. Their analysis allows making a conclusion that the humanity is rather far from the realization of ‘strong artificial intelligence’. We need (...) a qualitative breakthrough in AI material and technological basis for it. Applying ‘model-dependent realism’ by S. Hawking in the course of the speculations in the article, the author concludes that the purpose of cognition in modern science is not to describe an objective reality, but to organize its subjective perception by some definite way. So, the purpose of cognition is the perfection of cognition models permitting a subject ‘to capture’ the reality. This idea is completely confirmed by Maturana and Varela’s autopoiesis theory and von Foerster’s ‘second-order cybernetics’. The article drafts some prospects of moving away from post-nonclassical scientific thinking in its current understanding, because the development of AI technologies results in ‘blurring’ borders of subjectivity in the cognition process. The author concludes that the modern world is moving in another epistemological paradigm where a new scientific revolution is inevitable. (shrink)

Michel Foucault’s essay ‘The Subject and Power’ has seen four decades. It is the most quoted of Foucault’s shorter texts and exerts a persistent influence across the social sciences and humanities. The essay merges two main trajectories of Foucault’s research in the 1970s: his genealogies of legal-disciplinary power and his studies of pastoral power and governance. This article connects these two trajectories to Althusser’s thesis on the ideological state apparatuses, demonstrating affinities between Althusser’s thesis and Foucault’s diagnosis of the welfare (...) state as a ‘matrix’ of individualising and totalising power. The article suggests that Foucault’s essay straddles between two different concepts of subjectivation. First, one encounters the citizen ‘internally subjugated’ by disciplinary and pastoral power, whereas, at the end, we find a ‘flat’ subject of governance; a form of power which intervenes only in the environment in which individuals make their rational, self-fashioning choices. The implication of Foucault’s newfound concept of governance is a weakening of the link between subjectivation and the formation of the state, which also meant that the state’s role in reproducing capitalism receded into the background of Foucauldian scholarship. Finally, the article suggests extending Foucault’s analytical ‘matrix’ to current techniques of subjectivation associated with the advent of big data and artificial intelligence, which buttress the expansive technique of predictive profiling. (shrink)

Artificial intelligence (AI) is a digital technology that will be of major importance for the development of humanity in the near future. AI has raised fundamental questions about what we should do with such systems, what the systems themselves should do, what risks they involve and how we can control these. - After the background to the field (1), this article introduces the main debates (2), first on ethical issues that arise with AI systems as objects, i.e. tools made (...) and used by humans; here, the main sections are privacy (2.1), manipulation (2.2), opacity (2.3), bias (2.4), autonomy & responsibility (2.6) and the singularity (2.7). Then we look at AI systems as subjects, i.e. when ethics is for the AI systems themselves in machine ethics (2.8.) and artificial moral agency (2.9). Finally we look at future developments and the concept of AI (3). For each section within these themes, we provide a general explanation of the ethical issues, we outline existing positions and arguments, then we analyse how this plays out with current technologies and finally what policy conse-quences may be drawn. (shrink)

Should artificial intelligences ever be included as co-authors of democratic decisions? According to the conventional view in democratic theory, the answer depends on the relationship between the political unit and the entity that is either affected or subjected to its decisions. The relational conditions for inclusion as stipulated by the all-affected and all-subjected principles determine the spatial extension of democratic inclusion. Thus, AI qualifies for democratic inclusion if and only if AI is either affected or subjected to decisions by (...) the political unit in relevant ways. This paper argues that the conventional view is too simple; that it neglects democratic reasons to recognize only agents and/or moral patients as participants in decision-making. The claim defended is that AAP and ASP implicitly affirm requirements for agency and patiency. In ASP, the entity included must be an agent understood either in terms of legal status, capacity to comply with the law or ability to recognize legitimate authority. In AAP, the entity included must be a patient, understood either in terms of capacity for sentience or consciousness. Thus, the idea here is to explore the potential democratic inclusion of artificial intelligences by an updated account of the relevant conditions of agency and patiency that are implicit in democratic theory. Although conceivable that AI is or will be either affected or subjected in relevant ways to decisions made by political units, it is far less clear that AI will ever be agents or patients in the sense required for democratic inclusion. (shrink)

Cyberfeminism and Artificial Life examines construction, manipulation and re-definition of life in contemporary technoscientific culture. It takes a critical political view of the concept of life as information, tracing this through the new biology and the changing discipline of artificial life and its manifestation in art, language, literature, commerce and entertainment. From cloning to computer games, and incorporating an analysis of hardware, software and 'wetware', Sarah Kember demonstrates how this relatively marginal field connects with, and connects up global (...) networks of information systems. As well as offering suggestions for the evolution of [cyber]feminism in Alife environments, the author identifies the emergence of posthumanism; an ethics of the posthuman subject mobilized in the tension between cold war and post-cold war politics, psychological and biological machines, centralized and de-centralized control, top-down and bottom-up processing, autonomous and autopoietic organisms, cloning and transgenesis, species-self and other species. Ultimately, this book aims to re-focus concern on the ethics rather than on the 'nature' of life-as-it-could-be. (shrink)