A concise but informative overview of AI ethics and policy. -/- Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring homeowners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, and voters in liberal democracies? Authored by experts in fields (...) ranging from computer science and law to philosophy and cognitive science, this book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues such as transparency, bias, liability, privacy, and regulation. -/- Both business and government have integrated algorithmic decision support systems into their daily operations, and the book explores the implications for our lives as citizens. For example, do we take it on faith that a machine knows best in approving a patient's health insurance claim or a defendant's request for bail? What is the potential for manipulation by targeted political ads? How can the processes behind these technically sophisticated tools ever be transparent? The book discusses such issues as statistical definitions of fairness, legal and moral responsibility, the role of humans in machine learning decision systems, “nudging” algorithms and anonymized data, the effect of automation on the workplace, and AI as both regulatory tool and target. (shrink)

The AI revolution provides a neat illustration of C.P. Snow's ideas regarding "the two cultures" and a timely opportunity to reflect on why mutual suspicion persists between those in the natural sciences, on the one hand, and the humanities (and to an extent the social sciences), on the other.

We review the literature on how perceiving an AI making mistakes violates trust and how such violations might be repaired. In doing so, we discuss the role played by various forms of algorithmic transparency in the process of trust repair, including explanations of algorithms, uncertainty estimates, and performance metrics.

We are sceptical of concerns over the opacity of algorithmic decision tools. While transparency and explainability are certainly important desiderata in algorithmic governance, we worry that automated decision-making is being held to an unrealistically high standard, possibly owing to an unrealistically high estimate of the degree of transparency attainable from human decision-makers. In this paper, we review evidence demonstrating that much human decision-making is fraught with transparency problems, show in what respects AI fares little worse or better and argue that (...) at least some regulatory proposals for explainable AI could end up setting the bar higher than is necessary or indeed helpful. The demands of practical reason require the justification of action to be pitched at the level of practical reason. Decision tools that support or supplant practical reasoning should not be expected to aim higher than this. We cast this desideratum in terms of Daniel Dennett’s theory of the “intentional stance” and argue that since the justification of action for human purposes takes the form of intentional stance explanation, the justification of algorithmic decisions should take the same form. In practice, this means that the sorts of explanations for algorithmic decisions that are analogous to intentional stance explanations should be preferred over ones that aim at the architectural innards of a decision tool. (shrink)

The operations of deep networks are widely acknowledged to be inscrutable. The growing field of Explainable AI has emerged in direct response to this problem. However, owing to the nature of the opacity in question, XAI has been forced to prioritise interpretability at the expense of completeness, and even realism, so that its explanations are frequently interpretable without being underpinned by more comprehensive explanations faithful to the way a network computes its predictions. While this has been taken to be a (...) shortcoming of the field of XAI, I argue that it is broadly the right approach to the problem. (shrink)

The danger of human operators devolving responsibility to machines and failing to detect cases where they fail has been recognised for many years by industrial psychologists and engineers studying the human operators of complex machines. We call it “the control problem”, understood as the tendency of the human within a human–machine control loop to become complacent, over-reliant or unduly diffident when faced with the outputs of a reliable autonomous system. While the control problem has been investigated for some time, up (...) to this point its manifestation in machine learning contexts has not received serious attention. This paper aims to fill that gap. We argue that, except in certain special circumstances, algorithmic decision tools should not be used in high-stakes or safety-critical decisions unless the systems concerned are significantly “better than human” in the relevant domain or subdomain of decision-making. More concretely, we recommend three strategies to address the control problem, the most promising of which involves a complementary coupling between highly proficient algorithmic tools and human agents working alongside one another. We also identify six key principles which all such human–machine systems should reflect in their design. These can serve as a framework both for assessing the viability of any such human–machine system as well as guiding the design and implementation of such systems generally. (shrink)

The past two decades have witnessed a revival of interest in multiple realization and multiply realized kinds. Bechtel and Mundale’s (1999) illuminating discussion of the subject must no doubt be credited with having generated much of this renewed interest. Among other virtues, their paper expresses what seems to be an important insight about multiple realization: that unless we keep a consistent grain across realized and realizing kinds, claims alleging the multiple realization of psychological kinds are vulnerable to refutation. In this (...) paper I argue that, intuitions notwithstanding, the terms of their recommendation make it impossible to follow, while also misleadingly insinuating that its application virtually guarantees mind-brain identity. Instead of a matching of grains, what multiple realization really requires is a principled method for adjudicating upon differences between tokens. Shapiro’s (2000) work on multiple realization can be understood as an attempt to adumbrate just such a method. While his “causal relevance” criterion can easily be mistaken for Bechtel and Mundale’s grain requirement, my analysis reveals exactly where and why these two tests diverge. (shrink)

The leading hypothesis concerning the “reuse” or “recycling” of neural circuits builds on the assumption that evolution might prefer the redeployment of established circuits over the development of new ones. What conception of cognitive architecture can survive the evidence for this hypothesis? In particular, what sorts of “modules” are compatible with this evidence? I argue that the only likely candidates will, in effect, be the columns which Vernon Mountcastle originally hypothesized some 60 years ago, and which form part of the (...) well-known columnar hypothesis in neuroscience—systems that cannot handle gross cognitive functions as distinct from strictly exiguous subfunctions. This is in stark contrast to the modules postulated by much of cognitive psychology, cognitive neuropsychology, and evolutionary psychology. And yet the fate of this revised notion is unclear. The main issue confronting it is the effect of the neural network context on local function. At some point the effects of context are so strong that the degree of specialization required for modularity is not able to be met. Still, despite indications from neuroimaging that peripheral and central systems deploy shared circuitry, some skills clearly do seem to display modularization and autonomy. This article: provides an in-depth analytical and historical review of the fortunes of modular thinking in cognitive science; offers a systematic calibration of brain regions in terms of degrees of functional specificity and robustness; and suggests another way of accounting for the partially encapsulated character of expertise and other highly practiced skills without having to resort to domain-specific modules. (shrink)

Modularity is a fundamental doctrine in the cognitive sciences. It holds a preeminent position in cognitive psychology and generative linguistics, as well as a long history in neurophysiology, with roots going all the way back to the early nineteenth century. But a mature field of neuroscience is a comparatively recent phenomenon and has challenged orthodox conceptions of the modular mind. One way of accommodating modularity within the new framework suggested by these developments is to go for increasingly soft versions of (...) modularity. One such version, which I call the “system” view, is so soft that it promises to meet practically any challenge neuroscience can throw at it. In this paper, I reconsider afresh what we ought to regard as the sine qua non of modularity and offer a few arguments against the view that an insipid “system” module could be the legitimate successor of the traditional notion. (shrink)

Evidence of the pervasiveness of neural reuse in the human brain has forced a revision of the standard conception of modularity in the cognitive sciences. One persistent line of argument against such revision, however, cites the evidence of cognitive dissociations. While this article takes the dissociations seriously, it contends that the traditional modular account is not the best explanation. The key to the puzzle is neural redundancy. The article offers both a philosophical analysis of the relation between reuse and redundancy (...) as well as a plausible solution to the problem of dissociations. (shrink)

I draw parallels and contrasts between dual-system and modular approaches to cognition, the latter standing to inherit the same problems De Neys identifies regarding the former. Despite these two literatures rarely coming into contact, I provide one example of how he might gain theoretical leverage on the details of his “non-exclusivity” claim by paying closer attention to the modularity debate.

A familiar trope of cognitive science, linguistics, and the philosophy of psychology over the past forty or so years has been the idea of the mind as a modular system-that is, one consisting of functionally specialized subsystems responsible for processing different classes of input, or handling specific cognitive tasks like vision, language, logic, music, and so on. However, one of the major achievements of neuroscience has been the discovery that the brain has incredible powers of renewal and reorganization. This "neuroplasticity," (...) in its various forms, has challenged many of the orthodox conceptions of the mind which originally led cognitive scientists to postulate hardwired mental modules. -/- This book examines how such discoveries have changed the way we think about the structure of the mind. It contends that the mind is more supple than prevailing theories in cognitive science and artificial intelligence acknowledge. The book uses language as a test case. The claim that language is cognitively special has often been understood as the claim that it is underpinned by dedicated-and innate-cognitive mechanisms. Zerilli offers a fresh take on how our linguistic abilities could be domain-general: enabled by a composite of very small and redundant cognitive subsystems, few if any of which are likely to be specialized for language. In arguing for this position, however, the book takes seriously various cases suggesting that language dissociates from other cognitive faculties. -/- Accessibly written, The Adaptable Mind is a fascinating account of neuroplasticity, neural reuse, the modularity of mind, the evolution of language, and faculty psychology. (shrink)

The use of advanced AI and data-driven automation in the public sector poses several organisational, practical, and ethical challenges. One that is easy to underestimate is automation bias, which, in turn, has underappreciated legal consequences. Automation bias is an attitude in which the operator of an autonomous system will defer to its outputs to the point where the operator overlooks or ignores evidence that the system is failing. The legal problem arises when statutory office-holders (or their employees) either fetter their (...) discretion to in-house algorithms or improperly delegate their discretion to third-party software developers—something automation bias may facilitate. A synthesis of previous research suggests an easy way to mitigate the risks of automation bias and its potential legal ramifications is for those responsible for procurement decisions to adhere to a simple checklist that ensures that the pitfalls of automation are avoided as much as possible. (shrink)

Democracy and the problem of judgment -- Judging at the "end of reasons": rethinking the aesthetic turn -- Historicism, judgment, and the limits of liberalism: the case of Leo Strauss -- Objectivity, judgment, and freedom: rereading Arendt's "Truth and politics" -- Value pluralism and the "burdens of judgment": John Rawls's political liberalism -- Relativism and the new universalism: feminists claim the right to judge -- From willing to judging: Arendt, Habermas, and the question of '68 -- What on earth (...) is a "form of life"? Judging "alien" cultures according to Peter Winch -- The turn to affect and the problem of judgment: making political sense of the nonconceptual -- Conclusion: judging as a democratic world-building practice. (shrink)

Suddendorf explores “the gap” between humans and other animals, with a particular emphasis on our great ape relatives. Both for nonscientists and those scientists or philosophers whose work is not centrally preoccupied with such questions, the book provides a tidy compendium of experimental results organized around a number of precisely defined areas of competence. He takes language, mental time travel, theory of mind, intelligence, culture and morality to be definitive of human cognitive prowess and judiciously evaluates the comparative evidence he (...) has assembled in respect of each of them .What is especially refreshing about his interpretations is that they come off as measured and dispassionate just when one imagines the pull of optimism would be strongest. At no point does he rely on hand-waving explanations or recapitulate familiar pieties about man and beast. (shrink)

Final Report on Phase 1 of the New Zealand Law Foundation’s Artificial Intelligence and Law in New Zealand Project.

This essay examines the significantly different approaches of John Rawls and Hannah Arendt to the problem of judgment in democratic theory and practice.

John Locke famously sets the arts of rhetoric at odds with the pursuit of knowledge. Drawing on the work of Ernesto Grassi, this article shows that Locke’s epistemological and political arguments are parasitic on the very tropes and figures he would exclude in any serious discourse. Accordingly, Locke’s attack on the divine right of kings and his famous argument for the social contract is read as exhibiting a rhetorical structure. This structure is crucial to Locke’s critique of heteronomy and (...) his attempt to facilitate the identification of oneself as a free subject. (shrink)

John Locke famously sets the arts of rhetoric at odds with the pursuit of knowledge. Drawing on the work of Ernesto Grassi, this article shows that Locke’s epistemological and political arguments are parasitic on the very tropes and figures he would exclude in any serious discourse. Accordingly, Locke’s attack on the divine right of kings and his famous argument for the social contract is read as exhibiting a rhetorical structure. This structure is crucial to Locke’s critique of heteronomy and (...) his attempt to facilitate the identification of oneself as a free subject. (shrink)

Though the revised edition of A Theory of Justice, published in 1999, is the definitive statement of Rawls's view, so much of the extensive literature on Rawls's theory refers to the first edition. This reissue makes the first edition once again available for scholars and serious students of Rawls's work.

Though the revised edition of A Theory of Justice, published in 1999, is the definitive statement of Rawls's view, so much of the extensive literature on Rawls's theory refers to the first edition.

John MacFarlane explores how we might make sense of the idea that truth is relative. He provides new, satisfying accounts of parts of our thought and talk that have resisted traditional methods of analysis, including what we mean when we talk about what is tasty, what we know, what will happen, what might be the case, and what we ought to do.

For this second edition, the editors have returned to Austin's original lecture notes, amending the printed text where it seemed necessary.

Much as we would like to conceive empirical thought as rationally grounded in experience, pitfalls await anyone who tries to articulate this position, and ...

Offering both a discussion of feminism in its postmodern context and a critique of contemporary theory, the author here challenges feminists to move away from a theory-based approach, which focuses on securing or contesting "women" as an ...

What psychological and philosophical significance should we attach to recent efforts at computer simulations of human cognitive capacities? In answering this question, I find it useful to distinguish what I will call "strong" AI from "weak" or "cautious" AI. According to weak AI, the principal value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion. (...) But according to strong AI, the computer is not merely a tool in the study of the mind; rather, the appropriately programmed computer really is a mind, in the sense that computers given the right programs can be literally said to. (shrink)

Normative requirements are often overlooked, but they are central features of the normative world. Rationality is often thought to consist in acting for reasons, but following normative requirements is also a major part of rationality. In particular, correct reasoning – both theoretical and practical – is governed by normative requirements rather than by reasons. This article explains the nature of normative requirements, and gives examples of their importance. It also describes mistakes that philosophers have made as a result of confusing (...) normative requirements with reasons. (shrink)

This book is the one to put into the hands of those who have been over-impressed by Austin 's critics....[Warnock's] brilliant editing puts everybody who is concerned with philosophical problems in his debt.

This new edition of the classic Contemporary Theories of Knowledge has been significantly updated to include analyses of the recent literature in epistemology.

This study provides a comprehensive reinterpretation of the meaning of Locke's political thought. John Dunn restores Locke's ideas to their exact context, and so stresses the historical question of what Locke in the Two Treatises of Government was intending to claim. By adopting this approach, he reveals the predominantly theological character of all Locke's thinking about politics and provides a convincing analysis of the development of Locke's thought. In a polemical concluding section, John Dunn argues that liberal and (...) Marxist interpretations of Locke's politics have failed to grasp his meaning. Locke emerges as not merely a contributor to the development of English constitutional thought, or as a reflector of socio-economic change in seventeenth-century England, but as essentially a Calvinist natural theologian. (shrink)

John Hyman explores central problems in philosophy of action and the theory of knowledge, and connects these areas of enquiry in a new way. His approach to the dimensions of human action culminates in an original analysis of the relation between knowledge and rational behaviour, which provides the foundation for a new theory of knowledge itself.

This is a selection of essays on moral responsibility that represent the major components of John Martin Fischer's overall approach to freedom of the will and moral responsibility. The collection exhibits the overall structure of Fischer's view and shows how the various elements fit together to form a comprehensive framework for analyzing free will and moral responsibility. The topics include deliberation and practical reasoning, freedom of the will, freedom of action, various notions of control, and moral accountability. The essays (...) seek to provide a foundation for our practices of holding each other (and ourselves) morally and legally accountable for our behavior. A crucial move is the distinction between two kinds of control. According to Fischer, "regulative control" involves freedom to choose and do otherwise ("alternative possibilities"), whereas "guidance control" does not. Fischer contends that guidance control is all the freedom we need to be morally responsible agents. Further, he contends that such control is fully compatible with causal determinism. Additionally, Fischer argues that we do not need genuine access to alternative possibilities in order for there to be a legitimate point to practical reasoning. Fischer's overall framework contains an argument for the contention that guidance control, and not regulative control, is associated with moral responsibility, a sketch of a comprehensive theory of moral responsibility (that ties together responsibility for actions, omissions, consequences, and character), and an account of the value of moral responsibility. On this account, the value of exhibiting freedom (of the relevant sort) and thus being morally responsible for one's behavior is a species of the value of artistic self-expression. (shrink)

Critics of Hannah Arendt's Lectures on Kant's Political Philosophy argue that Arendt fails to address the most important problem of political judgment, namely, validity. This essay shows that Arendt does indeed have an answer to the problem that preoccupies her critics, with one important caveat: she does not think that validity is the all-important problem of political judgment--the affirmation of human freedom is.

This anthology is a thorough introduction to classic literature for those who have not yet experienced these literary masterworks. For those who have known and loved these works in the past, this is an invitation to reunite with old friends in a fresh new format. From Shakespeare's finesse to Oscar Wilde's wit, this unique collection brings together works as diverse and influential as The Pilgrim's Progress and Othello. As an anthology that invites readers to immerse themselves in the masterpieces of (...) the literary giants, it is must-have addition to any library. (shrink)

John Stuart Mill's Utilitarianism is one of the most important, controversial, and suggestive works of moral philosophy ever written. Mill defends the view that all human action should produce the greatest happiness overall, and that happiness itself is to be understood as consisting in "higher" and "lower" pleasures. This volume uses the 1871 edition of the text, the last to be published in Mill's lifetime. The text is preceded by a comprehensive introduction assessing Mill's philosophy and the alternatives to (...) utilitarianism, and discussing some of the specific issues Mill raises in Utilitarianism. (shrink)

"A modern classic. Dewey's lectures have lost none of their vigor...The historical approach, which underlay the central argument, is beautifully exemplified in his treatments of the origin of philosophy."-- Philosophy and Phenomenological Research "It was with this book that Dewey fully launched his campaign for experimental philosophy."-- The New Republic Written by an eminent philosopher shortly after the shattering effects of World War I, this volume offers an insightful introduction to the concept of pragmatic humanism. Dewey presents persuasive arguments against (...) traditional philosophical constructs, suggesting their basis in self-justification. He proposes, instead, an examination of core values in terms of their ultimate effects on the self and others. This experimental philosophy was received with both outrage and acclaim for daring to mingle ethics and science. Delivered in 1919 as a series of lectures, Dewey's landmark work appears here in an enlarged edition that features an informative introduction by the author, written more than 25 years after the book's initial publication. (shrink)

I argue against the orthodox view of the relationship between propositional and doxastic justification. The view under criticism is: if p is propositionally justified for S in virtue of S's having reason R, and S believes p on the basis of R, then S's belief that p is doxastically justified. I then propose and evaluate alternative accounts of the relationship between propositional and doxastic justification, and conclude that we should explain propositional justification in terms of doxastic justification. If correct, this (...) proposal would constitute a significant advance in our understanding of the sources of epistemic justification. (shrink)

This was scanned from the 1909 edition and mechanically checked against a commercial copy of the text from CDROM. Differences were corrected against the paper edition. The text itself is thus a highly accurate rendition. The footnotes were entered manually.

Intuition is sometimes derided as an abstruse or esoteric phenomenon akin to crystal-ball gazing. Such derision appears to be fuelled primarily by the suggestion, evidently endorsed by traditional rationalists such as Plato and Descartes, that intuition is a kind of direct, immediate apprehension akin to perception. This paper suggests that although the perceptual analogy has often been dismissed as encouraging a theoretically useless metaphor, a quasi-perceptualist view of intuition may enable rationalists to begin to meet the challenge of supplying a (...) theoretically satisfying treatment of their favoured epistemic source. It is argued, first, that intuitions and perceptual experiences are at a certain level of abstraction the same type of mental state, presentations, which are distinct from beliefs, hunches, inclinations, attractions, and seemings. The notion of a presentation is given a positive explication, which identifies its characteristic features, accounts for several of its substantive psychological roles, and systematically locates it in a threefold division among types of contentful states. Subsequently, it is argued that presentations, intuitive no less than sensory, are by their nature poised to play a distinctive epistemic role. Specifically, in the case of intuition, we encounter an intellectual state that is so structured as to provide justification without requiring justification in turn—something which may, thus, be thought of as ‘given’. (shrink)

John Broome; V*—Fairness, Proceedings of the Aristotelian Society, Volume 91, Issue 1, 1 June 1991, Pages 87–102, https://doi.org/10.1093/aristotelian/91.1.87.

Creative Intelligence: Essays in the Pragmatic Attitude represents an attempt at intellectual cooperation. No effort has been made, however, to attain unanimity of belief nor to proffer a platform of "planks" on which there is agreement. The consensus represented lies primarily in outlook, in conviction of what is most likely to be fruitful in method of approach. As the title page suggests, the volume presents a unity in attitude rather than a uniformity in results. Consequently each writer is definitively responsible (...) only for his own essay. The reader will note that the Essays endeavor to embody the common attitude in application to specific fields of inquiry which have been historically associated with philosophy rather than as a thing by itself. Beginning with philosophy itself, subsequent contributions discuss its application to logic, to mathematics, to physical science, to psychology, to ethics, to economics, and then again to philosophy itself in conjunction with esthetics and religion. The reader will probably find that the significant points of agreement have to do with the ideas of the genuineness of the future, of intelligence as the organ for determining the quality of that future so far as it can come within human control, and of a courageously inventive individual as the bearer of a creatively employed mind. (shrink)

CHAPTER ONE Political Theory as a Signifying Practice Political theory has been a heroic business, snatching us from the abyss a vocation worthy of giants. ...

This new edition includes a substantial postscript by the author, in which he responds to thirty years of discussion, criticism and further work in the field to ...