In the subsequent pages, I want to develop a distinction between wanting and valuing which will enable the familiar view of freedom to make sense of the notion of an unfree action. The contention will be that, in the case of actions that are unfree, the agent is unable to get what he most wants, or values, and this inability is due to his own "motivational system." In this case the obstruction to the action that he most wants to do (...) is his own will. It is in this respect that the action is unfree: the agent is obstructed in and by the very performance of the action. (shrink)

Since the 1970s Gary Watson has published a series of brilliant and highly influential essays on human action, examining such questions as: in what ways are we free and not free, rational and irrational, responsible or not for what we do? Moral philosophers and philosophers of action will welcome this collection, representing one of the most important bodies of work in the field.

The majority of U.S. abortion patients are poor women, and Black and Hispanic women. Therefore, this article encourages bioethicists and equity advocates to consider whether the need for abortion c...

We speak of the right to know with relative ease. You have the right to know the results of a medical test or to be informed about the collection and use of personal data. But what exactly is the right to know, and who should we trust to safeguard it? This book provides the first comprehensive examination of the right to know and other epistemic rights: rights to goods such as information, knowledge and truth. These rights play a prominent role (...) in our information-centric society and yet they often go unnoticed, disregarded and unprotected. As such, those who control what we know, or think we know, exert an influence on our lives that is often as dangerous as it is imperceptible. Beginning with a rigorous but accessible philosophical account of epistemic rights, Lani Watson examines the harms caused by epistemic rights violations, drawing on case studies across medical, political and legal contexts. She investigates who has the right to what information, who is responsible for the quality and circulation of information and what epistemic duties we have towards each other. This book is essential reading for philosophers, legal theorists and anyone concerned with the protection and promotion of information, knowledge and truth.. (shrink)

This book is a defense of political liberalism as a feminist liberalism. A novel and restrictive account of public reason is defended. Then it is argued that political liberalism's core commitments restrict reasonable conceptions of justice to those that secure genuine, substantive equality for women and other marginalized groups.

This is one of the most justly celebrated texts of the Chinese tradition - impressive for both its bold philosophical imagination and its striking literary style. Accepting the challenge of translating this captivating classic in its entirety, Burton Watson has expertly rendered into English both the profound thought and the literary brilliance of the text.

This is Daoist philosophy’s central tenet, espoused by the person—or group of people—known as Zhuangzi (369?-286? B.C.E.) in a text by the same name.

The new edition of this highly successful text will once again provide the ideal introduction to free will. This volume brings together some of the most influential contributions to the topic of free will during the past 50 years, as well as some notable recent work.

My concern in this paper will be to explore and develop a version of nonsocratic skepticism about weakness of will. In my view, socratism is incorrect, but like Socrates, I think that the common understanding of weakness of will raises serious problems. Contrary to socratism, it is possible for a person knowingly to act contrary to his or her better judgment. But this description does not exhaust the common view of weakness. Also implicit in this view is the belief that (...) actions which are contrary to one's better judgment are free in the sense that the agent could have done otherwise. To take seriously the possibility of acting contrary to one's better judgment is at the same time to raise problems about the distinction between weakness and compulsion. I argue that the common view, according to which the differentiating feature is that the weak are able to conform their behavior to their practical judgments, is unjustified. Instead, I have proposed that weakness of will involves the failure to develop certain normal capacities of self-control, whereas compulsion involves desires which even the possession of such capacities would not enable one to resist. (shrink)

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to explore overlapping causal (...) patterns of variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions. (shrink)

Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.

As machine learning has gradually entered into ever more sectors of public and private life, there has been a growing demand for algorithmic explainability. How can we make the predictions of complex statistical models more intelligible to end users? A subdiscipline of computer science known as interpretable machine learning (IML) has emerged to address this urgent question. Numerous influential methods have been proposed, from local linear approximations to rule lists and counterfactuals. In this article, I highlight three conceptual challenges that (...) are largely overlooked by authors in this area. I argue that the vast majority of IML algorithms are plagued by (1) ambiguity with respect to their true target; (2) a disregard for error rates and severe testing; and (3) an emphasis on product over process. Each point is developed at length, drawing on relevant debates in epistemology and philosophy of science. Examples and counterexamples from IML are considered, demonstrating how failure to acknowledge these problems can result in counterintuitive and potentially misleading explanations. Without greater care for the conceptual foundations of IML, future work in this area is doomed to repeat the same mistakes. (shrink)

Artificial intelligence has historically been conceptualized in anthropomorphic terms. Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital isomorphism of the human brain. Others leverage more general learning strategies that happen to coincide with popular theories of cognitive science and social epistemology. In this paper, I challenge the anthropomorphic credentials of the neural network algorithm, whose similarities to human cognition I argue are vastly overstated and narrowly construed. I submit that three alternative supervised learning (...) methods—namely lasso penalties, bagging, and boosting—offer subtler, more interesting analogies to human reasoning as both an individual and a social phenomenon. Despite the temptation to fall back on anthropomorphic tropes when discussing AI, however, I conclude that such rhetoric is at best misleading and at worst downright dangerous. The impulse to humanize algorithms is an obstacle to properly conceptualizing the ethical challenges posed by emerging technologies. (shrink)

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealisedexplanation gamein which players collaborate to find the best explanation(s) for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to explore overlapping causal patterns of (...) variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a (conditionally) optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions. (shrink)

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to explore overlapping causal (...) patterns of variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions. (shrink)

This collection addresses whether ethicists, like authorities in other fields, can speak as experts in their subject matter. Though ethics consultation is a growing practice in medical contexts, there remain difficult questions about the role of ethicists in professional decision-making. Contributors examine the nature and plausibility of moral expertise, the relationship between character and expertise, the nature and limits of moral authority, how one might become a moral expert, and the trustworthiness of moral testimony. This volume engages with the growing (...) literature in these debates and offers new perspectives from both academics and practitioners. The readings will be of particular interest to bioethicists, clinicians, ethics committees, and students of social epistemology. These new essays promise to advance discussions in the professionalization and accreditation of ethics consultation. (shrink)

This essay is about the difficulties of doing criminal justice in the context of severe social injustice. Having been marginalized as citizens of the larger community, those who are victims of severe social injustice are understandably alienated from the dominant political institutions, and, not unreasonably, disrespect their authority, including that of the criminal law. The failure of equal treatment and protection and the absence of anything like fair and decent life prospects for the members of the marginalized populations erode the (...) basis for its allegiance to demands of the political community. The criminal law thus occupies a problematic normative position with respect to lawbreakers in this population; in many cases, it finds itself in the position of convicting them for crimes for which the political community itself bears some significant responsibility. The attempt to administer criminal justice therefore faces a serious moral predicament; on the one hand, criminal law has a right and an.. (shrink)

The provider–patient relationship is typically regarded as an expert-to-novice relationship, and with good reason. Providers have extensive education and experience that have developed in them the competence to treat conditions better and with fewer harms than anyone else. However, some researchers argue that many patients with long-term conditions (LTCs), such as arthritis and chronic pain, have become “experts” at managing their LTC. Unfortunately, there is no generally agreed-upon conception of “patient expertise” or what it implies for the provider–patient relationship. I (...) review three prominent accounts of patient expertise and argue that all face serious objections. I contend, however, that a plausible account of patient expertise is available and that it provides a framework both for further empirical studies and for enhancing the provider–patient relationship. (shrink)

What does it mean to be an expert? What sort of authority do experts really have? And what role should they play in today's society? Addressing why ever larger segments of society are skeptical of what experts say, Expertise: A Philosophical Introduction reviews contemporary philosophical debates and introduces what an account of expertise needs to accomplish in order to be believed. Drawing on research from philosophers and sociologists, chapters explore widely held accounts of expertise and uncover their limitations, outlining a (...) set of conceptual criteria a successful account of expertise should meet. By providing suggestions for how a philosophy of expertise can inform practical disciplines such as politics, religion, and applied ethics, this timely introduction to a topic of pressing importance reveals what philosophical thinking about expertise can contribute to growing concerns about experts in the 21st century. (shrink)

Idealism is philosophy on a grand scale, combining micro and macroscopic problems into systematic accounts of everything from the nature of the universe to the particulars of human feeling. In consequence, it offers perspectives on everything from the natural to the social sciences, from ecology to critical theory. Heavily criticised by the dominant philosophies of the 20th Century, Idealism is now being reconsidered as a rich and untapped resource for contemporary philosophical arguments and concepts. This volume provides a comprehensive portrait (...) of the major arguments and philosophers in the Idealist tradition. The book demonstrates how Idealist philosophy provides a fruitful way of understanding contemporary issues in metaphysics, the philosophy of science, political philosophy, scientific theory and critical social theory. (shrink)

Given the increasing importance attached to both corporate social responsibility (CSR) and corporate governance, this study investigates the association between these two complimentary mechanisms used by companies to enhance relations with stakeholders. Consistent with both legitimacy and stakeholder theory and controlling for industry profile, firm size, stockholder power/dispersion, creditor power/leverage, and economic performance, our analysis of the annual reports for a sample of 222 listed companies suggests that firms providing more CSR information: have better corporate governance ratings; are larger; belong (...) to higher profile industries; and are more highly leveraged. Our findings support the limited prior research suggesting a link between corporate governance quality and CSR disclosure in company annual reports and suggest that, rather than mandating specific disclosures, regulators might be better served focussing on corporate governance quality as a way of increasing CSR disclosures. (shrink)

Unsupervised learning algorithms are widely used for many important statistical tasks with numerous applications in science and industry. Yet despite their prevalence, they have attracted remarkably little philosophical scrutiny to date. This stands in stark contrast to supervised and reinforcement learning algorithms, which have been widely studied and critically evaluated, often with an emphasis on ethical concerns. In this article, I analyze three canonical unsupervised learning problems: clustering, abstraction, and generative modeling. I argue that these methods raise unique epistemological and (...) ontological questions, providing data-driven tools for discovering natural kinds and distinguishing essence from contingency. This analysis goes some way toward filling the lacuna in contemporary philosophical discourse on unsupervised learning, as well as bringing conceptual unity to a heterogeneous field more often described by what it isnot(i.e., supervised or reinforcement learning) than by what itis. I submit that unsupervised learning is not just a legitimate subject of philosophical inquiry but perhaps the most fundamental branch of all AI. However, an uncritical overreliance on unsupervised methods poses major epistemic and ethical risks. I conclude by advocating for a pragmatic, error-statistical approach that embraces the opportunities and mitigates the challenges posed by this powerful class of algorithms. (shrink)

Online controlled experiments, also known as A/B tests, have become ubiquitous. While many practical challenges in running experiments at scale have been thoroughly discussed, the ethical dimension of A/B testing has been neglected. This article fills this gap in the literature by introducing a new, soft ethics and governance framework that explicitly recognizes how the rise of an experimentation culture in industry settings brings not only unprecedented opportunities to businesses but also significant responsibilities. More precisely, the article (a) introduces a (...) set of principles to encourage ethical and responsible experimentation to protect users, customers, and society; (b) argues that ensuring compliance with the proposed principles is a complex challenge unlikely to be addressed by resorting to a one-solution response; (c) discusses the relevance and effectiveness of several mechanisms and policies in educating, governing, and incentivizing companies conducting online controlled experiments; and (d) offers a list of prompting questions specifically designed to help and empower practitioners by stimulating specific ethical deliberations and facilitating coordination among different groups of stakeholders. (shrink)

Among social epistemologists, having a certain proportion of reliably formed beliefs in a subject matter is widely regarded as a necessary condition for cognitive expertise. This condition is motivated by the idea that expert testimony puts subjects in a better position than non-expert testimony to obtain knowledge about a subject matter. I offer three arguments showing that veritism is an inadequate account of expert authority because the reliable access condition renders expertise incapable of performing its social role. I then develop (...) an alternative explanation of expert authority that I call the epistemic facility account, arguing that having a certain type of competence in a subject matter or domain of subject matters is sufficient for explaining expert authority while avoiding the problems with veritistic accounts. (shrink)