Artificial intelligence (AI) is expected to revolutionise the practice of medicine. Recent advancements in the field of deep learning have demonstrated success in variety of clinical tasks: detecting diabetic retinopathy from images, predicting hospital readmissions, aiding in the discovery of new drugs, etc. AI’s progress in medicine, however, has led to concerns regarding the potential effects of this technology on relationships of trust in clinical practice. In this paper, I will argue that there is merit to these concerns, since AI (...) systems can be relied on, and are capable of reliability, but cannot be trusted, and are not capable of trustworthiness. Insofar as patients are required to rely on AI systems for their medical decision-making, there is potential for this to produce a deficit of trust in relationships in clinical practice. (shrink)

The rise of AI-based systems has been accompanied by the belief that these systems are impartial and do not suffer from the biases that humans and older technologies express. It becomes evident, however, that gender and racial biases exist in some AI algorithms. The question is where the bias is rooted—in the training dataset or in the algorithm? Is it a linguistic issue or a broader sociological current? Works in feminist philosophy of technology and behavioral economics reveal the gender bias (...) in AI technologies as a multi-faceted phenomenon, and the linguistic explanation as too narrow. The next step moves from the linguistic aspects to the relational ones, with postphenomenology. One of the analytical tools of this theory is the “I-technology-world” formula that models our relations with technologies, and through them—with the world. Realizing that AI technologies give rise to new types of relations in which the technology has an “enhanced technological intentionality”, a new formula is suggested: “I-algorithm-dataset.” In the third part of the article, four types of solutions to the gender bias in AI are reviewed: ignoring any reference to gender, revealing the considerations that led the algorithm to decide, designing algorithms that are not biased, or lastly, involving humans in the process. In order to avoid gender bias, we can recall a feminist basic understanding—visibility matters. Users and developers should be aware of the possibility of gender and racial biases, and try to avoid them, bypass them, or exterminates them altogether. (shrink)

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

Recent work on interpretability in machine learning and AI has focused on the building of simplified models that approximate the true criteria used to make decisions. These models are a useful pedagogical device for teaching trained professionals how to predict what decisions will be made by the complex system, and most importantly how the system might break. However, when considering any such model it’s important to remember Box’s maxim that "All models are wrong but some are useful." We focus on (...) the distinction between these models and explanations in philosophy and sociology. These models can be understood as a "do it yourself kit" for explanations, allowing a practitioner to directly answer "what if questions" or generate contrastive explanations without external assistance. Although a valuable ability, giving these models as explanations appears more difficult than necessary, and other forms of explanation may not have the same trade-offs. We contrast the different schools of thought on what makes an explanation, and suggest that machine learning might benefit from viewing the problem more broadly. (shrink)

A great deal of scholarly attention has been paid to coercion. Less attention has been paid to what might be a more pervasive form of influence: manipulation. The essays in this volume address this relative imbalance by focusing on manipulation, examining its nature, moral status, and its significance in personal and social life.

To create fair and accountable AI and robotics, we need precise regulation and better methods to certify, explain, and audit inscrutable systems.

Many ethicists writing about automated systems attribute agency to these systems. Not only that; they seemingly attribute an autonomous or independent form of agency to these machines. This leads some ethicists to worry about responsibility-gaps and retribution-gaps in cases where automated systems harm or kill human beings. In this paper, I consider what sorts of agency it makes sense to attribute to most current forms of automated systems, in particular automated cars and military robots. I argue that whereas it indeed (...) makes sense to attribute different forms of fairly sophisticated agency to these machines, we ought not to regard them as acting on their own, independently of any human beings. Rather, the right way to understand the agency exercised by these machines is in terms of human–robot collaborations, where the humans involved initiate, supervise, and manage the agency of their robotic collaborators. This means, I argue, that there is much less room for justified worries about responsibility-gaps and retribution-gaps than many ethicists think. (shrink)

It is argued that a popular way of accounting for the distinctive value of knowledge by appeal to the distinctive value of cognitive achievements fails because it is a mistake to identify knowledge with cognitive achievements. Nevertheless, it is claimed that understanding, properly conceived, is a type of cognitive achievement, and thus that the distinctive value of cognitive achievements can explain why understanding is of special value.

Epistemology has for a long time focused on the concept of knowledge and tried to answer questions such as whether knowledge is possible and how much of it there is. Often missing from this inquiry, however, is a discussion on the value of knowledge. In The Value of Knowledge and the Pursuit of Understanding Jonathan Kvanvig argues that epistemology properly conceived cannot ignore the question of the value of knowledge. He also questions one of the most fundamental assumptions in epistemology, (...) namely that knowledge is always more valuable than the value of its subparts. Taking Platos' Meno as a starting point of his discussion, Kvanvig tackles the different arguments about the value of knowledge and comes to the conclusion that knowledge is less valuable than generally assumed. Clearly written and well argued, this 2003 book will appeal to students and professionals in epistemology. (shrink)

_Personal Autonomy and Social Oppression_ addresses the impact of social conditions, especially subordinating conditions, on personal autonomy. The essays in this volume are concerned with the philosophical concept of autonomy or self-governance and with the impact on relational autonomy of the oppressive circumstances persons must navigate. They address on the one hand questions of the theoretical structure of personal autonomy given various kinds of social oppression, and on the other, how contexts of social oppression make autonomy difficult or impossible.

"... Dr. Ihde brings an enlightening and deeply humanistic perspective to major technological developments, both past and present." —Science Books & Films "Don Ihde is a pleasure to read.... The material is full of nice suggestions and details, empirical materials, fun variations which engage the reader in the work... the overall points almost sneak up on you, they are so gently and gradually offered." —John Compton "A sophisticated celebration of cultural diversity and of its enabling technologies.... perhaps the best single (...) volume relating the philosophical tradition to the broad issues raised by contemporary technologies." —Choice "... important and challenging... " —Review of Metaphysics "... a range of rich historical, cultural, philosophical, and psychological insights, woven together in an intriguing and clear exposition... The book is really a pleasure to read, for its style, immense learning and sanity." —Teaching Philosophy The role of tools and instruments in our relation to the earth and the ways in which technologies are culturally embedded provide the foci of this thought-provoking book. (shrink)

This is a paper about two philosophers who wrote to each other. One is famous; the other is not. It is about two practical standpoints, the strategic and the human, and what the famous philosopher said of them. And it is about friendship and deception, duty and despair. That is enough by way of preamble.

Over the course of its first seven editions, Principles of Biomedical Ethics has proved to be, globally, the most widely used, authored work in biomedical ethics. It is unique in being a book in bioethics used in numerous disciplines for purposes of instruction in bioethics. Its framework of moral principles is authoritative for many professional associations and biomedical institutions-for instruction in both clinical ethics and research ethics. It has been widely used in several disciplines for purposes of teaching in the (...) classroom, during conferences, etc. (shrink)

Nomy Arpaly rejects the model of rationality used by most ethicists and action theorists. Both observation and psychology indicate that people act rationally without deliberation, and act irrationally with deliberation. By questioning the notion that our own minds are comprehensible to us--and therefore questioning much of the current work of action theorists and ethicists--Arpaly attempts to develop a more realistic conception of moral agency.

This collection of original essays explores the social and relational dimensions of individual autonomy. Rejecting the feminist charge that autonomy is inherently masculinist, the contributors draw on feminist critiques of autonomy to challenge and enrich contemporary philosophical debates about agency, identity, and moral responsibility. The essays analyze the complex ways in which oppression can impair an agent's capacity for autonomy, and investigate connections, neglected by standard accounts, between autonomy and other aspects of the agent, including self-conception, self-worth, memory, and the (...) imagination. (shrink)

A summation of the work of one of the most influential and provocative interpreters of science, it aims at saving what is good and valuable in modernity and ...

To be autonomous is to be a law to oneself; autonomous agents are self-governing agents. Most of us want to be autonomous because we want to be accountable for what we do, and because it seems that if we are not the ones calling the shots, then we cannot be accountable. More importantly, perhaps, the value of autonomy is tied to the value of self-integration. We don't want to be alien to, or at war with, ourselves; and it seems that (...) when our intentions are not under our own control, we suffer from self-alienation. What conditions must be satisfied in order to ensure that we govern ourselves when we act? Philosophers have offered a wide range of competing answers to this question. (shrink)

The doyen of living English philosophers, by these reflections, took hold of and changed the outlook of a good many other philosophers, if not quite enough. He did so, essentially, by assuming that talk of freedom and responsibility is talk not of facts or truths, in a certain sense, but of our attitudes. His more explicit concern was to look again at the question of whether determinism and freedom are consistent with one another -- by shifting attention to certain personal (...) rather than moral attitudes, first of all gratitude and resentment. In the end, he arrived at a kind of Compatibilist or, as he says, Optimist conclusion. That is no doubt a recommendation but not the largest recommendation of this splendidly rich piece of philosophy. (shrink)

The ‘black box problem’ is a long-standing talking point in debates about artificial intelligence. This is a significant point of tension between ethicists, programmers, clinicians and anyone else working on developing AI for healthcare applications. However, the precise definition of these systems are often left undefined, vague, unclear or are assumed to be standardised within AI circles. This leads to situations where individuals working on AI talk over each other and has been invoked in numerous debates between opaque and explainable (...) systems. This paper proposes a coherent and clear definition for the black box problem to assist in future discussions about AI in healthcare. This is accomplished by synthesising various definitions in the literature and examining several criteria that can be extrapolated from these definitions. There are no data in this work. (shrink)

This article investigates the types of intentionality involved in human–technology relations. It aims to augment Don Ihde’s analysis of the relations between human beings and technological artifacts, by analyzing a number of concrete examples at the limits of Ihde’s analysis. The article distinguishes and analyzes three types of “cyborg intentionality,” which all involve specific blends of the human and the technological. Technologically mediated intentionality occurs when human intentionality takes place “through” technological artifacts; hybrid intentionality occurs when the technological actually merges (...) with the human; and composite intentionality is the addition of human intentionality and the intentionality of technological artifacts. (shrink)

Book reviewed in this article: Principles of Biomedical Ethics. By Tom L. Beauchamp and James F. Childress.

Power is an inescapable aspect of all socialrelationships, and inherently is neither goodnor evil. Doctors need power to fulfil theirprofessional obligations to multipleconstituencies including patients, thecommunity and themselves. Patients need powerto formulate their values, articulate andachieve health needs, and fulfil theirresponsibilities. However, both parties canuse or misuse power. The ethical effectivenessof a health system is maximised by empoweringdoctors and patients to develop `adult-adult'rather than `adult-child' relationships thatrespect and enable autonomy, accountability,fidelity and humanity. Even in adult-adultrelationships, conflicts and complexitiesarise. Lack of (...) concordance between doctors andpatients can encourage paternalism but may bebest resolved through negotiated care. Afurther area of conflict involves the `doubleagency' of doctors for both patients and thecommunity. Empowerment of all players is notalways possible but is most likely where eachparty considers and acknowledges power issues. (shrink)

This introductory paper sets out a framework for approaching some of the claims about the second person made by the papers collected in the special edition of Philosophical Explorations on The Second Person . It does so by putting centre stage the notion of a ‘bipolar second person relation’, and examining ways of giving it substance suggested by the authors of these papers. In particular, it focuses on claims made in these papers about the existence and/or nature of second person (...) thought, second person reasons for action and second person reasons for belief and about possible connections among thought-theoretical, ethical and epistemological issues and debates in this area. (shrink)

We are social primates, for whom language-mediated co-operative thinking (‘co-cognition’) is a central element of our shared life. Psychological concepts may be illuminated by appreciating their role in enriching and improving such co-cognition — a role which is importantly different from that of enabling detailed prediction and control of thoughts and behaviour. This account of the nature of psychological concepts (‘co-cognitivism’) has social anti-individualism about thought content as a natural corollary. The combination of co-cognitivism and anti-individualism further suggests that, in (...) addition to the familiar first person authority with which we ascribe thoughts to ourselves, there may also be something deserving the name ‘second person authority’. (shrink)