Although decision‐making algorithms are not new to medicine, the availability of vast stores of medical data, gains in computing power, and breakthroughs in machine learning are accelerating the pace of their development, expanding the range of questions they can address, and increasing their predictive power. In many cases, however, the most powerful machine learning techniques purchase diagnostic or predictive accuracy at the expense of our ability to access “the knowledge within the machine.” Without an explanation in terms of reasons or (...) a rationale for particular decisions in individual cases, some commentators regard ceding medical decision‐making to black box systems as contravening the profound moral responsibilities of clinicians. I argue, however, that opaque decisions are more common in medicine than critics realize. Moreover, as Aristotle noted over two millennia ago, when our knowledge of causal systems is incomplete and precarious—as it often is in medicine—the ability to explain how results are produced can be less important than the ability to produce such results and empirically verify their accuracy. (shrink)

This paper considers the hotly debated issue of whether one should grant moral and legal personhood to intelligent robots once they have achieved a certain standard of sophistication based on such criteria as rationality, autonomy, and social relations. The starting point for the analysis is the European Parliament’s resolution on Civil Law Rules on Robotics and its recommendation that robots be granted legal status and electronic personhood. The resolution is discussed against the background of the so-called Robotics Open Letter, which (...) is critical of the Civil Law Rules on Robotics. The paper reviews issues related to the moral and legal status of intelligent robots and the notion of legal personhood, including an analysis of the relation between moral and legal personhood in general and with respect to robots in particular. It examines two analogies, to corporations and animals, that have been proposed to elucidate the moral and legal status of robots. The paper concludes that one should not ascribe moral and legal personhood to currently existing robots, given their technological limitations, but that one should do so once they have achieved a certain level at which they would become comparable to human beings. (shrink)

This paper develops an account of trustworthy AI. Its central idea is that whether AIs are trustworthy is a matter of whether they live up to their function-based obligations. We argue that this account serves to advance the literature in a couple of important ways. First, it serves to provide a rationale for why a range of properties that are widely assumed in the scientific literature, as well as in policy, to be required of trustworthy AI, such as safety, justice, (...) and explainability, are properties (often) instantiated by trustworthy AI. Second, we connect the discussion on trustworthy AI in policy, industry, and the sciences with the philosophical discussion of trustworthiness. We argue that extant accounts of trustworthiness in the philosophy literature cannot make proper sense of trustworthy AI and that our account compares favourably with its competitors on this front. (shrink)

Current research in artificial intelligence (AI) sheds light on algorithmic bias embedded in AI systems. The underrepresentation of women in the AI design sector of the tech industry, as well as in training datasets, results in technological products that encode gender bias, reinforce stereotypes and reproduce normative notions of gender and femininity. Biased behaviour is notably reflected in anthropomorphic AI systems, such as personal intelligent assistants (PIAs) and chatbots, that are usually feminized through various design parameters, such as names, (...) voices and traits. Gendering of AI entities, however, is often reduced to the encoding of stereotypical behavioural patterns that perpetuate normative assumptions about the role of women in society. The impact of this behaviour on social life increases, as human-to-(anthropomorphic)machine interactions are mirrored in human-to-human social interactions. This article presents current critical research on AI bias, focusing on anthropomorphic systems. Moreover, it discusses the significance of women’s engagement in AI design and programming, by presenting selected case studies of contemporary female media artists and designers. Finally, it suggests that women, through their creative practice, provide feminist and critical approaches to AI design which are essential for imagining alternative, inclusive, ethic and de-biased futures for anthropomorphic AIs. (shrink)

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I discuss the moral significance of artificial life within synthetic biology via a discussion of Douglas, Powell and Savulescu's paper 'Is the creation of artificial life morally significant’. I argue that the definitions of 'artificial life’ and of 'moral significance’ are too narrow. Douglas, Powell and Savulescu's definition of artificial life does not capture all core projects of synthetic biology or the ethical concerns that have been voiced, and their definition of moral significance fails to take (...) into account the possibility that creating artificial life is conditionally acceptable. Finally, I show how several important objections to synthetic biology are plausibly understood as arguing that creating artificial life in a wide sense is only conditionally acceptable. (shrink)

Machine ethics and robot rights are quickly becoming hot topics in artificial intelligence and robotics communities. We will argue that attempts to attribute moral agency and assign rights to all intelligent machines are misguided, whether applied to infrahuman or superhuman AIs, as are proposals to limit the negative effects of AIs by constraining their behavior. As an alternative, we propose a new science of safety engineering for intelligent artificial agents based on maximizing for what humans value. In particular, (...) we challenge the scientific community to develop intelligent systems that have human-friendly values that they provably retain, even under recursive self-improvement. (shrink)

Quilty-Dunn et al. argue that deep convolutional neural networks (DCNNs) optimized for image classification exemplify structural disanalogies to human vision. A different kind of artificial vision – found in reinforcement-learning agents navigating artificial three-dimensional environments – can be expected to be more human-like. Recent work suggests that language-like representations substantially improves these agents’ performance, lending some indirect support to the language-of-thought hypothesis (LoTH).

We explicate representational content by addressing how representations that ex- plain intelligent behavior might be acquired through processes of Darwinian evo- lution. We present the results of computer simulations of evolved neural network controllers and discuss the similarity of the simulations to real-world examples of neural network control of animal behavior. We argue that focusing on the simplest cases of evolved intelligent behavior, in both simulated and real organisms, reveals that evolved representations must carry information about the creature’s environ- ments (...) and further can do so only if their neural states are appropriately isomor- phic to environmental states. Further, these informational and isomorphism rela- tions are what are tracked by content attributions in folk-psychological and cognitive scientific explanations of these intelligent behaviors. (shrink)

Descartes niega que una máquina pueda ser inteligente, pues los mecanismos son predecibles, inflexibles y limitados. Los seguidores de la Inteligencia Artificial clásica (o IA fuerte) argumentan lo contrario. Pese a esto, Descartes y la IA proponen que la mente podría no estar adscrita a propiedades físicas, posibilidad explorada por el primero a partir de una intuición modal que separa mente y cuerpo. La IA fuerte se acerca a esta tesis cuando reduce la mente a una Máquina de Turing (...) cuya realización física resulta irrelevante. Aunque ambos argumentos presuponen teorías e implicancias diferentes, en este trabajo examino cómo el Funcionalismo resulta compatible con una forma de Dualismo, lo que aleja a la IA clásica del Materialismo que originalmente la inspiró. (shrink)

Following up on Thomas Nagel’s paper “What is it like to be a bat?” and Alan Turing’s essay “Computing machinery and intelligence,” it shall be claimed that a successful interaction of human beings and autonomous artificial agents depends more on which characteristics human beings ascribe to the agent than on whether the agent really has those characteristics. It will be argued that Masahiro Mori’s concept of the “uncanny valley” as well as evidence from several empirical studies supports that assertion. (...) Finally, some tentative conclusions concerning moral implications of the arguments presented here shall be drawn. (shrink)

This essay challenges the analogy argument. The analogy argument aims to show that the international domain satisfies the conditions of a Hobbesian state of nature: There fails to be a super-sovereign to keep all in awe, and hence, like persons in the state of nature, sovereigns are in a war every sovereign against every sovereign. By turning to Hobbes’ account of authorization, however, we see that subjects are under no obligation to obey a sovereign’s commands when doing so would contradict (...) the very end that motivated the authorization of the sovereign in the first place. There is thus an important disanalogy between natural and artificial persons, and this accordingly produces different reactions to the state of nature. (shrink)

End-of-life issues have become an urgent problem in Japan, where people are among the longest lived in the world and most of them die while connected to high-technology medical equipment. This study examines a sensitive end-of-life ethical issue that concerns patients, families and nurses: the withdrawal of artificial food and fluid from terminally ill patients. A sample of 160 Japanese nurses, who completed a questionnaire that included forced-choice and open-ended questions, supported this act under only two specific conditions: if (...) the patient requested it, and if it relieved the patient’s suffering. They considered that the doctor’s orders, the family’s request, or the patient’s advanced age did not ethically justify this act. A small number of people who had recently lost a relative took part in semistructured interviews focusing on their experiences of their terminally ill relatives being given artificial food and fluid. Ethical, social and cultural factors surrounding this issue are discussed. (shrink)

In 2017 AlphaZero, a neural network-based chess engine shook the chess world by convincingly beating Stockfish, the highest-rated chess engine. In this paper, I describe the technical differences between the two chess engines and based on that, I discuss the impact of the modeling choices on the respective epistemic opacities. I argue that the success of AlphaZero’s approach with neural networks and reinforcement learning is counterbalanced by an increase in the epistemic opacity of the resulting model.

Artificial intelligence (AI) will drastically change the healthcare system. Radiology is one speciality that is most affected as AI algorithms are increasingly used in diagnostic imaging. AI‐enhanced health technologies will, inter alia, increase workflow efficiency, improve diagnostic accuracy, reduce healthcare‐related costs, and help alleviate medical personnel shortages in under‐resourced settings. However, the development of AI‐enhanced technologies in healthcare is fraught with legal, ethical, and human rights concerns. Currently, the use of AI in South African healthcare is not governed by (...) sui generis legislation or ethical guidance focused exclusively and specifically on AI, although various provisions and principles from law and ethics find application. This article outlines these normative principles and explains their relationship with the extant legal obligations and regulatory framework as applied to the use of AI in radiology services in South Africa. The article concludes with three key recommendations for radiology practitioners using AI in South Africa. These are the need for: vigilant monitoring of AI use in practice, reforms to the liability framework, and appropriate guidance from local regulators and the Health Professions Council of South Africa on the ethical use of AI. (shrink)

In developing artificial intelligence (AI), researchers often benchmark against human performance as a measure of progress. Is this kind of comparison possible for moral cognition? Given that human moral judgment often hinges on intangible properties like “intention” which may have no natural analog in artificial agents, it may prove difficult to design a “like‐for‐like” comparison between the moral behavior of artificial and human agents. What would a measure of moral behavior for both humans and AI look like? (...) We unravel the complexity of this question by discussing examples within reinforcement learning and generative AI, and we examine how the puzzle of evaluating artificial agents' moral cognition remains open for further investigation within cognitive science. (shrink)

Not every new technology or public media hype warrants the attention of philosophers and theorists of education. In recent years, we have witnessed many educational trends and technologies that hav...

artificial life, each of which is a grand challenge requiring a major advance on a fundamental issue for its solution. Each problem is briefly explained, and, where deemed helpful, some promising paths to its solution are indicated.

Human DNA can be cloned as yeast artificial chromosomes (YACs), each of which contains several hundred kilobases of human DNA. This DNA can be manipulated in the yeast host using homologous recombination and yeast selectable markers. In relatively few steps it is possible to make virtually any change in the cloned human DNA from single base pair changes to deletions and insertions. In order to study the function of the cloned DNA and the effects of the changes made in (...) the yeast, the human DNA must be transferred back into mammalian cells. Recent experiments indicate that large genes can be transferred from the yeast host to mammalian cells in tissue culture and that the genes are transferred intact and are expressed. Using the same methods it may soon be possible to transfer YAC DNA into the mouse germ line so that the expression and function of genes cloned in YACs can be studied in developing and adult mammalian animals. (shrink)

Few modern artists so consistently embodied a fuzzy logic of their own as did the Indian painter Maqbool Fida Husain (1915 – 2011). His critics tried to define him as a reckless defamer of Hindu values, but another way to define him is as a dutiful devotee of a vision that was inclusive, rather than exclusive, and that understood all boundaries and identities as fluid or blurry, rather than as fixed and immutable. Or one might say that Husain strove to (...) project what Ashis Nandy has called “Indian-style secularism,” celebrating creation, humanity, and beauty in the multiple religious forms of the subcontinent. Having lived and painted in India all his life, he was forced into exile in his nineties by right-wing Hindu politicians. In London, he continued to work on a new interpretation of Indian civilization as universally relevant, in a sequence of paintings with themes from the Mahabharata, while, in Doha, a royal patron commissioned him to paint a series relating Islamic and Christian civilization. The two series are shown, in this essay, to best exhibit Husain's view of “all distinctions” as “political, artificial.”. (shrink)

Theoretical and Applied Issues Edited by Andrew Ortony Jon Slack Oliviero Stock NATO ASI Series Series F: Computer and Systems Sciences, Vol. 100 Communication from an Artificial Intelligence Perspective NATO ASI Series Advanced ...

Systems with human-centered artificial intelligence are always as good as their ability to consider their users’ context when making decisions. Research on identifying people’s everyday activities has evolved rapidly, but little attention has been paid to recognizing both the activities themselves and the motions they make during those tasks. Automated monitoring, human-to-computer interaction, and sports analysis all benefit from Web 4.0. Every sport has gotten its move, and every move is not known to everyone. In ice hockey, every move (...) cannot be monitored by the referee. Here, Convolution Neural Network-based Real-Time Image Processing Framework (CNN-RTIPF) is introduced to classify every move in Ice Hockey. CNN-RTIPF can reduce the challenges in monitoring the player’s move individually. The image of every move is captured and compared with the trained data in CNN. These real-time captured images are processed using a human-centered artificial intelligence system. They compared images predicted by probability calculation of the trained set of images for effective classification. Simulation analysis shows that the proposed CNN-RTIPF can classify real-time images with improved classification ratio, sensitivity, and error rate. The proposed CNN-RTIPF has been validated based on the optimization parameter for reliability. To improve the algorithm for movement identification and train the system for many other everyday activities, human-centered artificial intelligence-based Web 4.0 will continue to develop. (shrink)

AI needs many ideas that have hitherto been studied only by philosophers. This is because a robot, if it is to have human level intelligence and ability to learn from its experience, needs a general world view in which to organize facts. It turns out that many philosophical problems take new forms when thought about in terms of how to design a robot. Some approaches to philosophy are helpful and others are not.

The foundations of AI design discourse are worth analyzing. Here, attention is paid to the nature of theory languages used in designing new AI technologies because the limits of these languages can clarify some fundamental questions in the development of AI. We discuss three types of theory language used in designing AI products: formal, computational, and natural. Formal languages, such as mathematics, logic, and programming languages, have fixed meanings and no actual-world semantics. They are context- and practically content-free. Computational languages (...) use terms referring to the actual world, i.e., to entities, events, and thoughts. Thus, computational languages have actual-world references and semantics. They are thus no longer context- or content-free. However, computational languages always have fixed meanings and, for this reason, limited domains of reference. Finally, unlike formal and computational languages, natural languages are creative, dynamic, and productive. Consequently, they can refer to an unlimited number of objects and their attributes in an unlimited number of domains. The differences between the three theory languages enable us to reflect on the traditional problems of strong and weak AI. (shrink)

This article seeks to explore the idea of artificial moral agency from a theological perspective. By drawing on the Reformed theology of archetype-ectype, it will demonstrate that computational artefacts are the ectype of human moral agents and, consequently, have a partial moral agency. In this light, human moral agents mediate and extend their moral values through computational artefacts, which are ontologically connected with humans and only related to limited particular moral issues. This moral leitmotif opens up a way to (...) deploy carebots into Christian pastoral care while maintaining the human agent's uniqueness and responsibility in pastoral caregiving practices. (shrink)