This essay introduces this special issue on virtue ethics in relation to military AI. It describes the current situation of military AI ethics as following that of AI ethics in general, caught between consequentialism and deontology. Virtue ethics serves as an alternative that can address some of the weaknesses of these dominant forms of ethics. The essay describes how the articles in the issue exemplify the value of virtue-related approaches for these questions, before ending with thoughts for further research.

Volume 23, Issue 3-4, November - December 2024, Page 251-263.

The essays in this volume investigate the question of where, and in what sense, the bounds of intelligible thought, knowledge, and speech are to be drawn. Is there a way in which we are limited in what we think, know, and say? And if so, does this mean that we are constrained—that there is something beyond the ken of human intelligibility of which we fall short? Or is there another way to think about these limits of intelligibility—namely, as (...) conditions of our meaning and knowing anything, beyond which there is no specifiable thing we cannot do? -/- These issues feature prominently in the writings of Kant and Wittgenstein who each engaged with them in unique and striking ways. Their thoughts on the matter remain provocative and stimulating, and accordingly the contributions to this volume address the issues surrounding the limits of intelligibility both exegetically and systematically: they examine how they figure in Kant’s and Wittgenstein’s most significant works and put them in touch with contemporary debates that are shaped by their legacy. These debates concern, inter alia, logically and morally alien thought, the semantics and philosophy of negation, disjunctivism in philosophy of perception and ethics, paraconsistent approaches to contradiction, and the relation between art, literature, and philosophy. The book is divided into four parts: Part I gives a first assessment of the issues, Part II examines limits as they feature in Kant, Part III as they feature in Wittgenstein, and Part IV suggests some ways in which the questions at issue might be reconsidered, drawing upon ideas in phenomenology, dialetheism, metamathematics, and the works of other influential authors. -/- Limits of Intelligibility provides insight into a theme that is central to the thought of two of the most important figures in modern philosophy, as well as to recent metaphysics, philosophy of language, philosophy of logic, epistemology, and ethics. (shrink)

This paper discusses the problem of responsibility attribution raised by the use of artificial intelligence technologies. It is assumed that only humans can be responsible agents; yet this alone already raises many issues, which are discussed starting from two Aristotelian conditions for responsibility. Next to the well-known problem of many hands, the issue of “many things” is identified and the temporal dimension is emphasized when it comes to the control condition. Special attention is given to the epistemic condition, which draws (...) attention to the issues of transparency and explainability. In contrast to standard discussions, however, it is then argued that this knowledge problem regarding agents of responsibility is linked to the other side of the responsibility relation: the addressees or “patients” of responsibility, who may demand reasons for actions and decisions made by using AI. Inspired by a relational approach, responsibility as answerability thus offers an important additional, if not primary, justification for explainability based, not on agency, but on patiency. (shrink)

Future developments in artificial intelligence (AI) will likely allow for a greater degree of human‐machine convergence, with machines becoming more humanlike and intelligent machinery becoming more integrated into human brain function. This will pose many ethical challenges, and the necessity for a moral framework for evaluating these challenges will grow. This paper argues that community concern constitutes a central factor in both the evolution of religion and the human brain, and as such it should be used as the organizing principle (...) for moral evaluations of AI technologies. (shrink)

When interacting with other people, we assume that they have their reasons for what they do and believe, and experience recognizable feelings and emotions. When people act from weakness of will or are otherwise irrational, what they do can still be comprehensible to us, since we know what it is like to fall for temptation and act against one’s better judgment. Still, when someone’s experiences, feelings and way of thinking is vastly different from our own, understanding them becomes increasingly difficult. (...) Delusions and psychosis are often seen as marking the end of intelligibility. In this paper, I argue first for the importance of seeing other people as intelligible as long as this is at all possible. Second, I argue, based on both previous literature and my own lived experience, that more psychotic phenomena than previously thought can be rendered at least somewhat intelligible. Besides bizarre experiences like illusions, hallucinations and intense feelings of significance, I also explain what it is like to lose one’s bedrock, and how this loss impacts which beliefs one has reason to reject. Finally, I give an inside account of some disturbances of reason, and show that there are important similarities between certain psychotic reasoning problems and common non-pathological phenomena. (shrink)

This article offers an account of moods as distinctive kinds of personal level affective-evaluative states, which are both intentional and rationally intelligible in specific ways. The account contrasts with those who claim moods are non-intentional, and so also arational. Section 1 provides a conception of intentionality and distinguishes moods, as occurrent experiential states, from other states in the affective domain. Section 2 argues moods target the subject’s total environment presented in a specific evaluative light through felt valenced attitudes (the Mood-Intentionality (...) thesis). Section 3 argues some moods are experienced as rationally intelligible responses, and so epistemically appropriate, to the way ‘the world’ presents itself (the Mood-Intelligibility thesis). Finally, section 4 discusses the epistemology of moods. (shrink)

Le Journée d’étude « Pour des intelligences artificielles au service du corps vulnérable : Les contreforts de l’éthique et du droit » tenu en décembre 2021 à l’Université catholique de Lyon, en France, a permis d’explorer si l’intelligence artificielle (IA) pouvait être un levier permettant de restaurer l’égalité entre les pauvres et les riches, les femmes et les hommes, les handicapés, les sujets âgés? En contexte de pandémie Covid-19, cette question se pose partout, incluant diverses instances internationales, comme les Nations (...) Unies (ONU) et l’Union internationale des communications (UTI). Cette question nécessite de faire une analyse d’impact (levier) de l’IA pouvant engendrer plus de justice sociale (réduction des inégalités). Comment produire une telle analyse pour que l’IA puisse bénéficier à toutes et à tous sans exclure des citoyennes et citoyens de communautés marginalisées? Le problème éthique difficile à résoudre est le suivant : jusqu’où l’impact de l’IA maximise-t-il la justice en réduisant les inégalités? Ici l’analyse repose sur la connaissance des dispositifs de l’IA pouvant avoir un impact réel ou négatif. Le but de cette présentation sera de montrer, à partir de notre cadre d’analyse d’impacts des technologies et de différents textes publiés, les forces et faiblesses de l’IA, pour répondre à cette question. En appliquant ce cadre de référence, nous procédons de la façon suivante : 1) situer le problème complexe des inégalités: celles qui sont de nature générationnelle et socioéconomique auxquelles l’IA n’a que peu d’impacts; des inégalités auxquelles l’IA peut avoir des impacts, dont l’inclusion numérique et les inégalités sociales; 2) situer la terminologie de l’IA : IA faible (algorithmes) ou complète (décisionnelle et autonome); 3) faire une analyse des inégalités : inclusion numérique et inégalités sociales montrant les forces et faiblesses de l’IA. (shrink)

Wagman examines the emulation of human cognition by artificial intelligence systems. The book provides detailed examples of artificial intelligence programs (such as the FERMI System and KEKADA program) accomplishing highly intellectual tasks.

Intelligence, as measured by grades and/or standardized test scores, plays a principal role in the medical school admissions process in most nations. Yet while sufficient intelligence is necessary to practice medicine effectively, no evidence suggests that surplus intelligence beyond that threshold is correlated with providing higher quality medical care. This paper argues that using perceived measures of intelligence to distinguish between applicants, at levels that exceed the level of intelligence required to practice medicine, is both unfair to applicants and fails (...) to serve the interests of patients. (shrink)

The architectonic principle, as stated in Aristotle's Politics, is related to the arrangement of the arts, the technai, whereby it is argued that the leading art is the politike techne. Plato, in the Gorgias, has argued for an architectonic of crafts. Four technai provide the best, aei pros to beltiston therapeuousai, and they differ from the pseudo-crafts that offer pleasure while indifferent to the beltiston. The principle for arranging the architectonic is the pursuit of the best, whereby each practitioner of (...) a craft is expected to give logos concerning the "how" as well as the end of the craft. Extending the Platonic principle, Aristotle brings together under a unified theory the intelligibility of nature and human nature in line with the ends of episteme and techne, especially the politike techne. (shrink)

Hume famously warned us that the ‘[The] ultimate springs and principles are totally shut up from human curiosity and enquiry’. Or, again, Newton: ‘Hitherto I have not been able to discover the cause of these properties of gravity … and I frame no hypotheses.’ Aristotelian science was concerned with just such questions, the specification of occult qualities, the real essences that answer the question What is matter, etc?, the preoccupation with circular definitions such as dormative virtues, and so on. The (...) rise of modern science is usually seen as a break with the sterility of Aristotelianism, so what exactly is it that modern science does discover, if it is not the essential nature of matter, of force, of energy, of space and time? A famous answer was provided by Poincaré: ‘The true relations between these real objects are the only reality we can attain.’ This is often regarded as the manifesto of so-called structural realism, as espoused in recent years by John Worrall, for example ). In response to the arguments of Larry Laudan against convergent realism, Worrall points to the continuity in the formal relations between elements of reality expressed by mathematical equations, while the intrinsic nature of these elements of reality gets constantly revised. (shrink)

Artificial Intelligence and Scientific Method examines the remarkable advances made in the field of AI over the past twenty years, discussing their profound implications for philosophy. Taking a clear, non-technical approach, Donald Gillies shows how current views on scientific method are challenged by this recent research, and suggests a new framework for the study of logic. Finally, he draws on work by such seminal thinkers as Bacon, Gdel, Popper, Penrose, and Lucas, to address the hotly-contested question of whether computers might (...) become intellectually superior to human beings. (shrink)

Artificial Intelligence (AI) isset to revolutionise global knowledge domains and biblical hermeneutics is no exception. At face value, in Zimbabwe, AI has been stigmatised as a humanistic and profane technological system with an immense propensity to cause general religious backsliding, degeneracy, vain philosophising and secularisation of the Gospel of Christ. This article isolated Colossians 2:8 as a lens to investigate the congruency of Artificial Intelligence to the pericope’s scope of ‘philosophy, vain deceit, tradition of men and rudiments of the world’. (...) The Zimbabwean setting was used to examine whether the Colossian Christian Church’s philosophical aspersions bear any semblances to how AI is viewed among the clergy, theologians, Christian believers and academics of religious studies. The qualitative methodological paradigms of African Biblical Hermeneutics and Exegetical Method were employed in the study. The study mainly established that AI, like a tool in the hands of a workman, can either build or destroy, enhance or adulterate biblical hermeneutics depending on how it is viewed and used.Contribution: The article reflects on how the world’s most nascent technological development, Artificial Intelligence, impacts on biblical interpretation generally, but, more particularly, in the Zimbabwean context. (shrink)

Democracy is valuable not only because it treats us equally but because it is intelligent. Democracies can make effective use of knowledge, engage in experimentation, utilise societal diversity, all the while motivating political leaders towards the common good. It is against the emergence of a new democratic scepticism, however, that this book defends the intelligence of democracy. Whether it be due to ignorant voters, irrational public debate, or disconnected politicians, a growing number now argue that democracies are destined to make (...) bad decisions. While these democratic sceptics see epistemic concerns as reasons for giving up on democracy, this book argues they are reasons to embrace it. Intelligent Democracy develops the first systemic account of democracy's epistemic value. Unlike approaches which focus on single institutions, this view conceptualises democracy as a network of actors which work together to produce epistemic benefits at the system level. While any one democratic body will be limited, this book analyses the divisions of labour within a broader deliberative system, and how best to combine inclusive elections, deliberative assemblies, random sortition, and the open public sphere. This systemic approach is shown to better explain democracy's epistemic value, while more adeptly responding to the challenges posed by the new democratic scepticism. It can demonstrate democracy's intelligence over regimes of epistocracy and political meritocracy which empower only the knowledgeable, but also overlooked proposals for granting greater powers to markets or polycentric governance. The result is a unique epistemic justification of democracy and a robust reply to democracy's critics. (shrink)

There is a confounding issue at the very heart of philosophical reflection. It is the question of where, and in what sense, the bounds of intelligible thought, knowledge, and speech are to be drawn. To inquire into these limits is to acknowledge that we are “finite thinking beings,” as Kant puts it. Indeed, one way of understanding our essentially problematic position in the world which leads us into philosophy is to view it as a position of being fated to the (...) perpetual attempt to reckon with the limits of intelligibility: we are creatures for whom it can become a live question how to make sense of thought, action, knowledge, the good life, the nature of self-consciousness, mortal existence, and so forth – and where this sense-making gives out. This introductory essay puts special emphasis on the ways in which we might fall prey to a confused and pernicious kind of self-deception or self-alienation in seeking a philosophical remedy to the limits of intelligibility. In modern times, no other thinkers have faced up to this troubling possibility of self-alienation with the same rigor and in such depth as Kant and Wittgenstein. (shrink)

Intelligibility and interpretability related to artificial intelligence (AI) are crucial for enabling explicability, which is vital for establishing constructive communication and agreement among various stakeholders, including users and designers of AI. It is essential to overcome the challenges of sharing an understanding of the details of the various structures of diverse AI systems, to facilitate effective communication and collaboration. In this paper, we propose four fundamental terms: “I/O,” “Constraints,” “Objectives,” and “Architecture.” These terms help mitigate the challenges associated with (...) intelligibility and interpretability in AI by providing appropriate levels of abstraction to describe structure of AI systems generally, thereby facilitating the sharing of understanding among various stakeholders. The relationship between the Objective of AI designers and the Purpose of AI users is linked to the issues of AI alignment. (shrink)

Proponents of intelligent design have been remarkably successful, at least in the United States, in creating a cultural movement. They have also been remarkably successful at exasperating a scientific and intellectual world that dismisses intelligent design as the latest incarnation of creationism—more sophisticated than previous incarnations to be sure, but with many of the old faults. In this paper I want to focus on intelligent design’s merits as an intellectual project. I will show that the questions it raises are legitimate (...) and cannot be dismissed on a priori grounds. Having demonstrated that intelligent design constitutes a valid intellectual project, I want next to review intelligent design’s progress to date. Finally, I will indicate certain milestones that intelligent design needs to achieve before it can expect broad recognition from the scientific community that it is making a fruitful contribution to our understanding of the natural world. (shrink)

In this paper we want to analyze some philosophical and epistemological connections between a new kind of technology recently developed within robotics, and the previous mechanical approach. A new paradigm about machine-design in robotics, currently defined as ‘Embodied Intelligence’, has recently been developed. Here we consider the debate on the relationship between the hand and the intellect, from the perspective of the history of philosophy, aiming at providing a more suitable understanding of this paradigm. The new bottom-up approach to design (...) is deeply rooted in a new kind of empiricism, which tries to overcome issues connected with the previous approach strongly committed with the Artificial Intelligence (AI) debate and its origin. Since Turing’s time, the AI debate showed a rationalistic bias which remained undisputed until now. The paradigm shift we are witnessing nowadays is a reply to that bias in order to achieve not only a better way to design robots, but also to understand some underlying epistemological remarks. (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 ..

How do we understand the world around us? How do we solve problems? Often the answer to these questions follows a certain pattern, an algorithm if you wish. This is the case when our analytical left-brain side is at work. However, there are also elements in our behaviour where intelligence appears to follow a more elusive path, which cannot easily be characterised as a specific sequence of steps. Is Intelligence an Algorithm? offers an insight into intelligence as it functions in (...) nature, like human or animal intelligence, but also sheds light on modern developments in the field of artificial intelligence, proposing further architectural solutions for the creation of a so-called global Webmind"--Amazon.com. (shrink)

Lingis contests holistic conceptions of phenomenology and existential philosophy, and he refutes the primacy of perception and the practicable world. By contrast, he seeks to elucidate the substantive body. He shows that in contact with other sentient beings, an imperative that is addressed to us precedes and makes possible their capacity to order us with the meanings of their words and gestures. Written in clear, vivid language free of all unnecessary technical jargon.

Existential phenomenologists hold that the two most basic forms of intelligent behavior, learning, and skillful action, can be described and explained without recourse to mind or brain representations. This claim is expressed in two central notions in Merleau-Ponty's Phenomenology of Perception: the intentional arc and the tendency to achieve a maximal grip. The intentional arc names the tight connection between body and world, such that, as the active body acquires skills, those skills are stored, not as representations in the mind, (...) but as dispositions to respond to the solicitations of situations in the world. A phenomenology of skill acquisition confirms that, as one acquires expertise, the acquired know-how is experienced as finer and finer discriminations of situations paired with the appropriate response to each. Maximal grip names the body's tendency to refine its responses so as to bring the current situation closer to an optimal gestalt. Thus, successful learning and action do not require propositional mental representations. They do not require semantically interpretable brain representations either.Simulated neural networks exhibit crucial structural features of the intentional arc, and Walter Freeman's account of the brain dynamics underlying perception and action is structurally isomorphic with Merleau-Ponty's account of the way a skilled agent is led by the situation to move towards obtaining a maximal grip. (shrink)

The objective of this essay is to provide the beginning of a principled classification of some of the ways space is intelligently used. Studies of planning have typically focused on the temporal ordering of action, leaving as unaddressed questions of where to lay down instruments, ingredients, work-in-progress, and the like. But, in having a body, we are spatially located creatures: we must always be facing some direction, have only certain objects in view, be within reach of certain others. How we (...) manage the spatial arrangement of items around us is not an afterthought: it is an integral part of the way we think, plan, and behave. The proposed classification has three main categories: spatial arrangements that simplify choice; spatial arrangements that simplify perception; and spatial dynamics that simplify internal computation. The data for such a classification is drawn from videos of cooking, assembly and packing, everyday observations in supermarkets, workshops and playrooms, and experimental studies of subjects playing Tetris, the computer game. This study, therefore, focuses on interactive processes in the medium and short term: on how agents set up their workplace for particular tasks, and how they continuously manage that workplace. (shrink)

This article seeks to explain the correspondence between human intelligibility and that of the physical world by synthesizing the contributions of Jean Ladrière. Ladrière shows that the objectification function of formal symbolism in mathematics as an artificial language has operative power acquired through algorithm to represent physical reality. In physical theories, mathematics relates to observations through theoretic and empirical languages mutually interacting in a methodological circle, and nonmathematical anticipatory intention guides mathematical algorithmic exploration. Ladrière reasons that mathematics can make (...) the physical world comprehensible because of the presence of a rational principle in both kinds of intelligibility. (shrink)

Based on an examination of Galileo’s mechanics, Peter Machamer and Andrea Woody (and Machamer alone in subsequent articles) proposed the scientific use of what they call models of intelligibility. As they define it, a model of intelligibility (MOI) is a concrete phenomenon that guides scientific understanding of problematic cases. This paper extends Machamer and Woody’s analysis by elaborating the semantic function of MOIs. MOIs are physical embodiments of theoretical representations. Therefore, they eliminate the interpretive distance between theory and (...) phenomena, creating classes of concrete referents for theoretical concepts. Meanwhile, MOIs also provide evidence for historical analyses of concepts, like ‘body’ or ‘motion’, that are otherwise thought to be too basic for explicit explication. These points are illustrated by two examples also drawn from Galileo. First, I show how the introduction of the balance as an MOI leads Galileo to reject the Aristotelian conception of elemental natures. Second, Galileo’s rejection of medieval MOIs of circular motion constrains the reference of ‘conserved motion’ to curvilinear translations, thereby excluding the rotations that had been included in its scope. Both uses of MOIs marked important steps toward modern classical mechanics. (shrink)

Major Depressive Disorder (MDD) is a serious condition with a large disease burden. It is often claimed that MDD is a “brain disease.” What would it mean for MDD to be a brain disease? I argue that the best interpretation of this claim is as offering a substantive empirical hypothesis about the causes of the syndrome of depression. This syndrome-causal conception of disease, combined with the idea that MDD is a disease of the brain, commits the brain disease conception of (...) MDD to the claim that brain dysfunction causes the symptoms of MDD. I argue that this consequence of the brain disease conception of MDD is false. It incorrectly rules out genuine instances of content-sensitive causation between adverse conditions in the world and the characteristic symptoms of MDD. Empirical evidence shows that the major causes of depression are genuinely psychological causes of the symptoms of MDD. This rules out, in many cases, the “brute” causation required by the brain disease conception. The existence of cases of MDD with non-brute causes supports the reinstatement of the old nosological distinction between endogenous and exogenous depression. (shrink)

In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence. In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a ‘good AI society’. To do so, we examine how each report addresses the following three topics: the development of a ‘good (...) AI society’; the role and responsibility of the government, the private sector, and the research community in pursuing such a development; and where the recommendations to support such a development may be in need of improvement. Our analysis concludes that the reports address adequately various ethical, social, and economic topics, but come short of providing an overarching political vision and long-term strategy for the development of a ‘good AI society’. In order to contribute to fill this gap, in the conclusion we suggest a two-pronged approach. (shrink)

Artificial intelligence (AI) based clinical decision support systems (CDSS) are becoming ever more widespread in healthcare and could play an important role in diagnostic and treatment processes. For this reason, AI‐based CDSS has an impact on the doctor–patient relationship, shaping their decisions with its suggestions. We may be on the verge of a paradigm shift, where the doctor–patient relationship is no longer a dual relationship, but a triad. This paper analyses the role of AI‐based CDSS for shared decision‐making to better (...) comprehend its promises and associated ethical issues. Moreover, it investigates how certain AI implementations may instead foster the inappropriate paradigm of paternalism. Understanding how AI relates to doctors and influences doctor–patient communication is essential to promote more ethical medical practice. Both doctors' and patients' autonomy need to be considered in the light of AI. (shrink)

In Liberalism's Religion, I analyse the specific conception of religion that liberalism relies upon. I argue that the concept of religion should be disaggregated into its normatively salient features. When deciding whether to avert undue impingements on religious observances, or to avoid any untoward support of such observances, liberal states should not deal with ‘religion’ as such but, rather, with relevant dimensions of religious phenomena. States should avoid religious entanglement when ‘religion’ is epistemically inaccessible, socially divisive and/or comprehensive in scope. (...) In turn, states should show special deference to religious observances insofar as they exhibit what I call integrity – whether personal or collective. The upshot of this interpretive strategy is that liberal law need not recognise religion as such. As a result, there are gaps between the liberal construal of disaggregated religion and the lived experience of religion as a uniquely integrated experience. Are these gaps morally regrettable? Are they unjust? (shrink)

In this analysis I argue that the Discovery Institute, Intelligent Design’s primary advocate, is more appropriately conceived of as a think-tank, and I attempt to broaden the discussion by identifying issues left unexamined when Intelligent Design (ID) is challenged as a scientific theory or treated as a sectarian religion. I propose an analytic framework that can be deployed to provoke controversy about ID by those who seek to protect society from the penetration of religious ideology into secular institutions. Using concepts (...) from Actor Network Theory (ANT) enhanced with theoretical insights from public relations and risk communications, I argue that the Discovery Institute’s communication strategies include attempts to disrupt the translation of evolution into education and the cultural arena by establishing public trust using appeals to religion and morality, and exploiting anti-science sentiments. (shrink)

This book develops a grammatical method for our underlying presuppositions which can help us unravel the problem of evil. The problem essentially rests on a dualism between fact and meaning. 'Evil and Intelligibility' provides an examination of the grammar of being and of the intelligibility of the world, culminating in a philosophical grammar in which God, meaning, and evil can coexist.

Marcos Eberlin is a chemist and mass spectrometer who advances in a new book a refined Intelligent Design theory hinging on “foresight,” or the apparent teleology and purpose discernible in biological, chemical, and other complex life systems. Repurposing older ID arguments, such as those of “irreducible complexity,” and introducing new examples of phenomena pointed to by other ID theorists, Eberlin makes a strong argument for mindful creation by a “superintellect”. But is ID sufficient to answer Darwinism? Does “foresight” go far (...) enough in providing an alternative view of the origin of complex lifeforms? I argue that Eberlin, and other ID theorists, does not have a robust-enough definition of science to counter non-theistic theories of biology and biochemistry. An Aristotelian-Thomistic understanding of science allows us to go beyond the divide between ID and a-theistic theories and move the science-and-faith debate onto more solid ground. (shrink)