Impact of Artificial Intelligence

Some artificial intelligence systems can display algorithmic bias, i.e. they may produce outputs that unfairly discriminate against people based on their social identity. Much research on this topic focuses on algorithmic bias that disadvantages people based on their gender or racial identity. The related ethical problems are significant and well known. Algorithmic bias against other aspects of people’s social identity, for instance, their political orientation, remains largely unexplored. This paper argues that algorithmic bias against people’s political orientation can arise in (...) some of the same ways in which algorithmic gender and racial biases emerge. However, it differs importantly from them because there are strong social norms against gender and racial biases. This does not hold to the same extent for political biases. Political biases can thus more powerfully influence people, which increases the chances that these biases become embedded in algorithms and makes algorithmic political biases harder to detect and eradicate than gender and racial biases even though they all can produce similar harm. Since some algorithms can now also easily identify people’s political orientations against their will, these problems are exacerbated. Algorithmic political bias thus raises substantial and distinctive risks that the AI community should be aware of and examine. (shrink)

What is the essential ingredient of creativity that only humans – and not machines – possess? Can artificial intelligence help refine the notion of creativity by reference to that essential ingredient? How / do we need to redefine our conceptual and legal frameworks for rewarding creativity because of this new qualifying – actually creatively significant – factor? -/- Those are the questions tackled in this essay. The author’s conclusion is that consciousness, experiential states (such as a raw feel of what (...) is like to be creating) and propositional attitudes (such as intention to instigate change by creating) appear pivotal to qualifying an exploratory effort as creativity. Artificial intelligence systems would supposedly be capable of creativity if they could exhibit such states, which philosophers and computer scientists posit as conceptually admissible and practically possible. -/- The existing legal framework rewards creative endeavours by reference to the novelty or originality of the end result. But this bar is not insurmountable for artificial intelligence. Technically speaking, artificial intelligence systems can create works that are novel and/or original. Are we then prepared to grant to those systems the legal status of “creators” in their own right? Whom should the associated benefits and rewards be assigned to? How does the position change (or not) based on the qualifying factors set out above? Should – and if, how – the general public benefit from inventions / creative works of artificial intelligence systems if troves of personal data are the key component that fueled and informed creative choices? (shrink)

This project has been supported by the Australian Government through the Australian Research Council (project number CS170100008); the Department of Industry, Innovation and Science; and the Department of Prime Minister and Cabinet. ACOLA collaborates with the Australian Academy of Health and Medical Sciences and the New Zealand Royal Society Te Apārangi to deliver the interdisciplinary Horizon Scanning reports to government. The aims of the project which produced this report are: 1. Examine the transformative role that artificial intelligence may play in (...) different sectors of the economy, including the opportunities, risks and challenges that advancement presents. 2. Examine the ethical, legal and social considerations and frameworks required to enable and support broad development and uptake of artificial intelligence. 3. Assess the future education, skills and infrastructure requirements to manage workforce transition and support thriving and internationally competitive artificial intelligence industries. (shrink)

Theologians often reflect on the ethical uses and impacts of artificial intelligence, but when it comes to artificial intelligence techniques themselves, some have questioned whether much exists to discuss in the first place. If the significance of computational operations is attributed rather than intrinsic, what are we to say about them? Ancient thinkers—namely Augustine of Hippo (lived 354–430)—break the impasse, enabling us to draw forth the moral and metaphysical significance of current developments like the “deep neural networks” that are responsible (...) for some of the most remarkable achievements of the past few years. First, Augustine’s theology of the natural world’s rationes seminales makes sense of neural networks’ success by explaining the world as a kaleidoscopic refraction of divine Wisdom rather than as a collection of discrete objects standing in crisp relations. Second, his account of interpretive judgment as a moral act bound up with love reveals how our training and use of AI relates to the Christian’s assimilation to Wisdom. The contingent meaning of the neural network reveals AI’s potential either for standing between us and the world or in some sense facilitating a Christian’s regathering of the created echoes of divine Wisdom throughout his or her journey into the Trinity. (shrink)

We argue that explainable artificial intelligence (XAI), specifically reason-giving XAI, often constitutes the most suitable way of ensuring that someone can properly be held responsible for decisions that are based on the outputs of artificial intelligent (AI) systems. We first show that, to close moral responsibility gaps (Matthias 2004), often a human in the loop is needed who is directly responsible for particular AI-supported decisions. Second, we appeal to the epistemic condition on moral responsibility to argue that, in order to (...) be responsible for her decision, the human in the loop has to have an explanation available of the system’s recommendation. Reason explanations are especially well-suited to this end and we examine whether – and how – it might be possible to make such explanations fit with AI systems. We support our claims by focusing on a case of disagreement between human in the loop and AI system. (shrink)

Is it possible, ethically speaking, to create posthuman and transhuman persons from a religious perspective? Who is responsible for post and transhuman creation? Can post and transhuman persons be morally accountable? Addressing such pressing ethical questions around post and transhuman creation, this volume considers the philosophical and theological arguments that define and stimulate contemporary debate. Contributors consider the full implications of creating post and transhuman beings by highlighting the role of new technologies in shaping new forms of consciousness, as well (...) as the role the generators of post and transhuman beings play in such creation. They ask, what the relative power of such generators is, both in terms of society and in terms of their relationship to their creations. Appreciating how the lived realities of such beings will be constructed and legitimised in contemporary society adds further breadth to the wide-ranging consequences of post and transhuman creation explored. The collection's interdisciplinary approach traverses the philosophical writings of Aristotle, Aquinas, Kant, Nietzsche, and Heidegger, alongside theological considerations from the Christian, Islamic and Jewish traditions, inviting academics, faith leaders, policy makers, and practitioners to think through the ethical gamut of generating post and transhuman beings. (shrink)

Can the machines that play board games or recognize images only in the comfort of the virtual world be intelligent? To become reliable and convenient assistants to humans, machines need to learn how to act and communicate in the physical reality, just like people do. The authors propose two novel ways of designing and building Artificial General Intelligence (AGI). The first one seeks to unify all participants at any instance of the Turing test – the judge, the machine, the human (...) subject as well as the means of observation instead of building a separating wall. The second one aims to design AGI programs in such a way so that they can move in various environments. The authors of the article thoroughly discuss four areas of interaction for robots with AGI and introduce a new idea of techno-umwelt bridging artificial intelligence with biology in a new way. (shrink)

Popular culture continues fuelling public imagination with things, human and non-human, that we might beco-me or confront. Besides robots, other significant tropes in popular fiction that generated images include non-human humans and cyborgs, wired into his-torically varying sociocultural realities. Robots and artificial intelligence are re-defining the natural order and its hierar-chical structure. This is not surprising, as natural order is always in flux, shaped by new scientific discoveries, especially the reading of the genetic code, that reveal and redefine relationships between (...) life forms. However, for the first time, a new, artificial, species is being introduced into the existing diagrams, and, for the first time, it appears to hybridise the anthro-pocentric natural world order. (shrink)

A constant theme in Sherry Turkle’s work is the idea that computers shape our social and psychological lives. This idea is of course in a sense trivial, as can be observed when walking down any city street and noting how many of the passers-by have their heads buried in screens. In The Second Self, however, Turkle makes a stronger claim to the effect that where people confront machines that seem to think this suggests a new way for us to think (...) – about human thought, emotion, memory, and understanding and thereby affects the way we think and see ourselves as humans. I here attempt here to throw a sceptical light on claims of this sort by examining the Chinese chatbot “Xiǎoice”, which is described by its authors as “the most popular social chatbot in the world”. (shrink)

In light of the pervasive developments of new technologies, such as NBIC (Nanotechnology, biotechnology, information technology, and cognitive science), it is imperative to produce a coherent and deep reflexion on the human nature, on human intelligence and on the limit of both of them, in order to successfully respond to some technical argumentations that strive to depict humanity as a purely mechanical system. For this purpose, it is interesting to refer to the epistemology and metaphysics of Thomas Aquinas as a (...) stable philosophical reference on Human Nature. Indeed, we find in the works of Aquinas some of the most productive elements that could form a base to our deeper understanding of, and possibly even solutions to some of the most perplexing questions raised in our times by the existence of AI. (shrink)

The rapid advancement of artificial intelligence systems has generated a means whereby assistive bionic prosthetics can become both more effective and practical for the patients who rely upon the use of such machines in their daily lives. However, de lege lata remains relatively unspoken as to the legal status of patients whose devices contain self-learning CIS that can interface directly with the peripheral nervous system. As a means to reconcile for this lack of legal foresight, this article approaches the topic (...) of CIS-nervous system interaction and the impacts it may have on the legal definition of “persons” under the law. While other literature of this nature centres upon notions of transhumanism or self-enhancement, the approach herein approached is designed to focus solely upon the legal nature of independent CIS actions when operating alongside human subjects. To this end, it is hoped that further discussion on the topic can be garnered outside of transhumanist discourse to expedite legal consideration for how these emerging relationships ought to be received by law-generating bodies internationally. (shrink)

Recent research shows – somewhat astonishingly – that people are willing to ascribe moral blame to AI-driven systems when they cause harm [1]–[4]. In this paper, we explore the moral- psychological underpinnings of these findings. Our hypothesis was that the reason why people ascribe moral blame to AI systems is that they consider them capable of entertaining inculpating mental states (what is called mens rea in the law). To explore this hypothesis, we created a scenario in which an AI system (...) runs a risk of poisoning people by using a novel type of fertilizer. Manipulating the computational (or quasi-cognitive) abilities of the AI system in a between-subjects design, we tested whether people’s willingness to ascribe knowledge of a substantial risk of harm (i.e., recklessness) and blame to the AI system. Furthermore, we investigated whether the ascription of recklessness and blame to the AI system would influence the perceived blameworthiness of the system’s user (or owner). In an experiment with 347 participants, we found (i) that people are willing to ascribe blame to AI systems in contexts of recklessness, (ii) that blame ascriptions depend strongly on the willingness to attribute recklessness and (iii) that the latter, in turn, depends on the perceived “cognitive” capacities of the system. Furthermore, our results suggest (iv) that the higher the computational sophistication of the AI system, the more blame is shifted from the human user to the AI system. (shrink)

The increasingly prominent role of digital technologies during the coronavirus pandemic has been accompanied by concerning trends in privacy and digital ethics. But more robust protection of our rights in the digital realm is possible in the future. -/- After surveying some of the challenges we face, I argue for the importance of diplomacy. Democratic countries must try to come together and reach agreements on minimum standards and rules regarding cybersecurity, privacy and the governance of AI.

The focus of this article is a question that has been neglected in debates about digitalization: Could machines replace human scientists? To provide an intelligible answer to it, we need to answer a further question: What is it that makes (or constitutes) a scientist? I offer an answer to this question by proposing a new demarcation criterion for science which I call “the discoverability criterion”. I proceed as follows: (1) I explain why the target question of this article is important, (...) and (2) show that it leads to a variant of the demarcation problem of science. (3) By arguing that it is probably an essential feature of science that we can make scientific discoveries, I suggest a novel way of dealing with this problem by proposing a new demarcation criterion. Before introducing it, (4) I analyze an exemplary case of a real scientific discovery, and (5) argue that scientific discovery processes have a general underlying structure. (6) I introduce my discoverability criterion for science and present my master argument that helps us understand which criteria have to be fulfilled in order to decide whether machines can replace human scientists or not. (7) I conclude by answering the article’s target question and bringing forward a take-home message. (shrink)

This paper provides an analysis of the way in which two foundational principles of medical ethics–the trusted doctor and patient autonomy–can be undermined by the use of machine learning (ML) algorithms and addresses its legal significance. This paper can be a guide to both health care providers and other stakeholders about how to anticipate and in some cases mitigate ethical conflicts caused by the use of ML in healthcare. It can also be read as a road map as to what (...) needs to be done to achieve an acceptable level of explainability in an ML algorithm when it is used in a healthcare context. (shrink)

The extended mind thesis maintains that the functional contributions of tools and artefacts can become so essential for our cognition that they can be constitutive parts of our minds. In other words, our tools can be on a par with our brains: our minds and cognitive processes can literally ‘extend’ into the tools. Several extended mind theorists have argued that this ‘extended’ view of the mind offers unique insights into how we understand, assess, and treat certain cognitive conditions. In this (...) chapter we suggest that using AI extenders, i.e., tightly coupled cognitive extenders that are imbued with machine learning and other ‘artificially intelligent’ tools, presents both new ethical challenges and opportunities for mental health. We focus on several mental health conditions that can develop differently by the use of AI extenders for people with cognitive disorders and then discuss some of the related opportunities and challenges. (shrink)

Research in artificial intelligence (AI) has led to revise the challenges of the AI initial programme as well as to keep us alert to peculiarities and limitations of human cognition. Both are linked, as a careful further reading of the Turing’s test makes it clear from Searle’s Chinese room apologue and from Dreyfus’ suggestions, and in both cases, ideal had to be turned into operating mode. In order to rise these more pragmatic challenges AI does not hesitate to link together (...) operations of various levels and functionalities, more specific or more general. The challenges are not met by an operating formal system which should have from the outset all the learning skills, but -for instance in simulation- by the dynamics of a succession of solutions open to adjustments as well as to reflexive repeats. (shrink)

Deepfake technology uses machine learning to fabricate video and audio recordings that represent people doing and saying things they've never done. In coming years, malicious actors will likely use this technology in attempts to manipulate public discourse. This paper prepares for that danger by explicating the unappreciated way in which recordings have so far provided an epistemic backstop to our testimonial practices. Our reasonable trust in the testimony of others depends, to a surprising extent, on the regulative effects of the (...) ever-present possibility of recordings of the events they testify about. As deepfakes erode the epistemic value of recordings, we may then face an even more consequential challenge to the reliability of our testimonial practices themselves. (shrink)

In the last decades a growing body of literature in Artificial Intelligence (AI) and Cognitive Science (CS) has approached the problem of narrative understanding by means of computational systems. Narrative, in fact, is an ubiquitous element in our everyday activity and the ability to generate and understand stories, and their structures, is a crucial cue of our intelligence. However, despite the fact that - from an historical standpoint - narrative (and narrative structures) have been an important topic of investigation in (...) both these areas, a more comprehensive approach coupling them with narratology, digital humanities and literary studies was still lacking. With the aim of covering this empty space, in the last years, a multidisciplinary effort has been made in order to create an international meeting open to computer scientist, psychologists, digital humanists, linguists, narratologists etc.. This event has been named CMN (for Computational Models of Narrative) and was launched in the 2009 by the MIT scholars Mark A. Finlayson and Patrick H. Winston1. (shrink)

The purpose of this paper is to offer some critical remarks on the so-called pragmatist approach to the regulation of robotics. To this end, the article mainly reviews the work of Jack Balkin and Joanna Bryson, who have taken up such ap- proach with interestingly similar outcomes. Moreover, special attention will be paid to the discussion concerning the legal fiction of ‘electronic personality’. This will help shed light on the opposition between essentialist and pragmatist methodologies. After a brief introduction (1.), (...) in 2. I introduce the main points of the methodological debate which opposes pragmatism and essentialism in the regulation of robotics and I examine how legal fictions are framed from a pragmatist, functional perspective. Since this approach entails a neat separation of ontological analysis and legal rea- soning, in 3. I discuss whether considerations on robots’ essence are actually put into brackets when the pragmatist approach is endorsed. Finally, in 4. I address the problem of the social valence of legal fictions in order to suggest a possible limit of the pragmatist approach. My conclusion (5.) is that in the specific case of regulating robotics it may be very difficult to separate ontological considerations from legal reasoning—and vice versa—both on an epistemological and social level. This calls for great caution in the recourse to anthropomorphic legal fictions. (shrink)

Engineering an artificial intelligence to play an advisory role in morally charged decision making will inevitably introduce meta-ethical positions into the design. Some of these positions, by informing the design and operation of the AI, will introduce risks. This paper offers an analysis of these potential risks along the realism/anti-realism dimension in metaethics and reveals that realism poses greater risks, but, on the other hand, anti-realism undermines the motivation for engineering a moral AI in the first place.

This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI safety; (...) and cutting-edge developments in techniques to achieve AI, including machine learning, neural networks, dynamical systems. The book also discusses important applications of AI, including big data analytics, expert systems, cognitive architectures, and robotics. It offers a timely, yet very comprehensive snapshot of what is going on in the field of AI, especially at the interfaces between philosophy, cognitive science, ethics and computing. (shrink)

In this reply I try to show that, contrary to Milberry’s apparent assertion, the general intellect of the multitude does not have the explanatory robustness she accredits to it. Digital network technologies are currently overwhelmingly effective in proletarianizing and disempowering the cognitariat and only an active technopolitics of deproletarianization could reverse this hegemonic situation. In my response to Verbeek, I attempt to correct his misinterpretation of the Stieglerian approach as being dialectical in nature and show that, far from reinstating the (...) humanist dichotomy between human beings and technologies, my analysis assumes their original, albeit fundamentally ambiguous and even ‘uncanny’ [unheimlich] interconnection. I conclude with pointing out some implications of this view for a ‘really realistic’ political theory of technology. (shrink)

This commentary is an attempt to rethink the ethics of taking care in posthumanist times. It is an effort to combine ethics, posthumanism and psychological theories. I examine how the psychological notion of long-term well-being can serve as an ethical yardstick and how it can be relevant to non-humans.

_Virtual Futures_ explores the ideas that the future lies in its ability to articulate the consequences of an increasingly synthetic and virtual world. New technologies like cyberspace, the internet, and Chaos theory are often discussed in the context of technology and its potential to liberate or in terms of technophobia. This collection examines both these ideas while also charting a new and controversial route through contemporary discourses on technology; a path that discusses the material evolution and the erotic relation between (...) humans and machines. _Virtual Futures_ brings together diverse fields such as cyberfeminism, materialist philosophy, postmodern fiction, computing culture and performance art, with essays by Sadie Plant, Stelarc and Manuel de Landa. The collection heralds the death of humanism and the ride of posthuman pragmatism. The contested zone of debate throughout these essays is the notion of the posthuman, or the possibility of the cyborg as the free human. Viewed by some writers as a threat to human life and humanism itself, others in the collection describe the posthuman as a critical perspective that anticipates the next step in evolution: the integration or synthesis of humans and machines, organic life and technology. This view of technology and information is heavily influenced by Anglo American literature, especially cyberpunk, Pynchon and Ballard, as well as the materialist philosophies of Freud, Deleuze, and Haraway, _Virtual Futures_ provides analyses by both established theorists and the most innovative new voices working in conjunction between the arts and contemporary technology. (shrink)

To the age-old debate over what it means to be human, the relatively new fields of sociobiology and artificial intelligence bring new, if not necessarily compatible, insights. What have these two fields in common? Have they affected the way we define humanity? These and other timely questions are addressed with colorful individuality by the authors of _The Boundaries of Humanity_. Leading researchers in both sociobiology and artificial intelligence combine their reflections with those of philosophers, historians, and social scientists, while the (...) editors explore the historical and contemporary contexts of the debate in their introductions. The implications of their individual arguments, and the often heated controversies generated by biological determinism or by mechanical models of mind, go to the heart of contemporary scientific, philosophical, and humanistic studies. (shrink)

K. Broda, Dov M. Gabbay, Alessandra Russo (all computing or computer science, Imperial College, London) and LuÍs C. Lamb (Informatics, UFRGS, Brazil) argue that though the many families of logic may seem to differ in their logical nature, it is possible to provide them with a unifying logical framework whenever their semantics is axiomatizable in first-order logic. They provide such a framework based on the labeled deductive system methodology, and demonstrate how it works in such families as normal modal logics, (...) conditional logics of normality, the modal logic of elsewhere, the multiplicative fragment of substructural linear logic, and Lukasiewicz fuzzy logic. (shrink)

This paper attempts to formalize and to address the 'leakproofing' of the Singularity problem presented by David Chalmers. The paper begins with the definition of the Artificial Intelligence Confinement Problem. After analysis of existing solutions and their shortcomings, a protocol is proposed aimed at making a more secure confinement environment which might delay potential negative effect from the technological singularity while allowing humanity to benefit from the superintelligence.

What does punk have to do with Empire? What does singularity have to do with identity? What does the logic of rock ‘n’ roll aesthetics have to do with a politics of representation? What does the concept of the multitude have to do with neoliberalism? The answer to all these questions, argues Reiichi Miura, is a lot more than you might think.

This book elaborates the author's original metaphysics, panenmentalism, focusing on novel aspects of the singularity of any person. Among these aspects, integrated in a systematic view, are: love and singularity; private, intersubjective, and public accessibility; multiple personality; freedom of will; akrasia; a way out of the empiricist-rationalist conundrum; the possibility of God; and some major moral questions.

Generals always prepare for the last war.—Winston ChurchillYet in the 18th century, European thinkers noticed that social transformations had been accelerating for several thousand years; subsequent historical knowledge has made this observation more graphic and global. How long can the acceleration regime continue? In 1958, John von Neumann used the mathematical ‘singularity’ concept apropos of this subject, and the sonorous term was soon accepted in the humanities.The conceptual intrigue has become still more fascinating since a series of independent calculations demonstrated (...) that the acceleration period was not limited by human history and prehistory but embraced 4.5 billion years of biosphere evolution in tune with a simple logarithmic law. This is one of the epoch-making and surprising discoveries in the early 21st century. Continents have been drifting on Earth over billions of years, climate changing repeatedly, meteorites falling down and volcanoes blowing up—yet, the phase tra .. (shrink)

This article makes no argument against progress but stresses the importance of making it with foresight. The connection between biotechnology, treatment, and enhancement is discussed, stating the need for regulation. Next, the ideas of transhumanism are presented as a framework for an examination of our human condition and it is illustrated that cyborgs will possibly develop other values than Homo sapiens. Thus, the second part of the article discusses what it means to be an ethical being from the perspective of (...) Francis Fukuyama’s ideas of the importance of human nature to our humanity, and further elaborated on by bringing attention to the significance of the vulnerability to moral reasoning. Furthermore, the article suggests a near connection between embodiment and morality. In the light of this assumption, one can ask about ethical values and democratic cohesion in a world with sub-cultures of cyborgs. Thus, John Rawls’ theory of justice is introduced as a framework for reflections about inter-human costs of a posthuman condition. It is concluded that science need democratic regulation, in order to avoid technocratic decision processes, and guidelines for a regulatory body is given. (shrink)

The cyborg that Donna Haraway appropriated in ‘Manifesto for Cyborgs’ as a metaphor for political action and theoretical inquiry has ceased to have the potency it did 20 years ago. While Haraway has turned from a central focus on technoculture to companion species, much important cultural work remains to be done, especially in networked and programmable media. Problems with the cyborg as a metaphor include the implication that the liberal humanist subject, however problematized by its hybridization with cybernetic mechanism, continues (...) as a singular entity operating with localized agency. In a word, the cyborg is not networked enough to encompass the emergent possibilities associated with the Internet and the world-wide web and other phenomena of the contemporary digital era. Instead I propose the idea of the cognisphere. As operational concept and suggestive metaphor, the cognisphere recognizes that networked and programmable media are not only more pervasive than ever before in human history but also more cognitively powerful. It is closely associated with what many researchers regard as a major insight: the idea that the physical world is fundamentally computational. While these scientists regard computation as a physical process, the cultural critic is apt to see it as an over-determined metaphor. The binary choice between seeing the computational universe as a literal description of the physical world and reading it as an over-determined metaphor misses a crucial aspect of contemporary cultural dynamics: the interaction between means and metaphor, technology and cultural presupposition. Taking this dynamic into account leads to a more complete understanding summed up in the aphorism, ‘What we make and what we are co-evolve together.’. (shrink)