Everyone wants to be virtuous, but recent psychological investigations suggest that this may not be possible. Mark Alfano challenges this theory and asks, not whether character is empirically adequate, but what characters human beings could have and develop. Although psychology suggests that most people do not have robust character traits such as courage, honesty and open-mindedness, Alfano argues that we have reason to attribute these virtues to people because such attributions function as self-fulfilling prophecies - children become more studious if (...) they are told that they are hard-working and adults become more generous if they are told that they are generous. He argues that we should think of virtue and character as social constructs: there is no such thing as virtue without social reinforcement. His original and provocative book will interest a wide range of readers in contemporary ethics, epistemology, moral psychology and empirically informed philosophy. (shrink)

ABSTRACTIt has recently become fashionable among those who write on questions of moral responsibility to distinguish two different concepts, or senses, of moral responsibility via the labels ‘responsibility as attributability’ and ‘responsibility as accountability’. Gary Watson was perhaps the first to introduce this distinction in his influential 1996 article ‘Two Faces of Responsibility’ , but it has since been taken up by many other philosophers. My aim in this study is to raise some questions and doubts about this distinction and (...) to argue that it has led to confusion rather than clarification in debates over moral responsibility. In place of the attributability/accountability distinction, I propose that there is a single concept of moral responsibility underlying our actual moral practices. This core notion of moral responsibility, which I call ‘responsibility as answerability’, is well positioned to explain thos.. (shrink)

Develops a general theory of prediction that encompasses its fundamental principles, methodology, and practice and gives an overview of its promises and problems.

Philosophers who have written about implicit bias have claimed or implied that individuals are not responsible, and therefore not blameworthy, for their implicit biases, and that this is a function of the nature of implicit bias as implicit: below the radar of conscious reflection, out of the control of the deliberating agent, and not rationally revisable in the way many of our reflective beliefs are. I argue that close attention to the findings of empirical psychology, and to the conditions for (...) blameworthiness, does not support these claims. I suggest that the arguments for the claim that individuals are not liable for blame are invalid, and that there is some reason to suppose that individuals are, at least sometimes, liable to blame for the extent to which they are influenced in behaviour and judgment by implicit biases. I also argue against the claim that it is counter-productive to see bias as something for which individuals are blameworthy; rather, understanding implicit bias as something for which we are liable to blame could be constructive. (shrink)

Even though social scientists continue to discuss the problems posed by self-fulfilling and self-frustrating predictions, philosophers of science have ignored the topic since the 1970s. Back then, the prevailing view was that the methodological problems posed by reflexive predictions are either minor or easily avoided. I believe that this consensus was premature, ultimately relying on an overly narrow understanding of the phenomenon. I present an improved way to understand reflexive predictions (framed in probabilistic terms) and show that, once such predictions (...) are understood this way, the methodological problems they pose may turn out to be neither minor nor easily avoided. (shrink)

Predictions of poor prognosis for critically ill patients may become self-fulfilling if life-sustaining treatment or resuscitation is subsequently withheld on the basis of that prediction. This paper outlines the epistemic and normative problems raised by self-fulfilling prophecies (SFPs) in intensive care. Where predictions affect outcome, it can be extremely difficult to ascertain the mortality rate for patients if all treatment were provided. SFPs may lead to an increase in mortality for cohorts of patients predicted to have poor prognosis, they may (...) lead doctors to feel causally responsible for the deaths of their patients, and they may compromise honest communication with patients and families about prognosis. However, I argue that the self-fulfilling prophecy is inevitable when life-sustaining treatment is withheld or withdrawn in the face of uncertainty. SFPs do not necessarily make treatment limitation decisions problematic. To minimize the effects of SFPs, it is essential to carefully collect and appraise evidence about prognosis. Doctors need to be honest with themselves and with patients and their families about uncertainty and the limits of knowledge. (shrink)

No mathematical background is necessary to appreciate this classic of probability theory, which remains unsurpassed in its clarity, readability, and sheer charm. Its author, British logician John Venn (1834-1923), popularized the famous Venn Diagrams that are commonly used in teaching elementary mathematics.

This essay warns of eroding accountability in computerized societies. It argues that assumptions about computing and features of situations in which computers are produced create barriers to accountability. Drawing on philosophical analyses of moral blame and responsibility, four barriers are identified: 1) the problem of many hands, 2) the problem of bugs, 3) blaming the computer, and 4) software ownership without liability. The paper concludes with ideas on how to reverse this trend.

Certain predictions are such that their accuracy can be affected by their dissemination, by their being believed and acted upon. Examples of such reflexive predictions are presented. Various approaches to the precise delineation of this category of predictions are explored, and a definition is proposed and defended. Next it is asked whether the possible reflexivity of predictions creates a serious methodological problem for the social sciences. A distinction between causal and logical reflexivity helps support a negative answer. Finally, we consider (...) the thesis that "this characteristic of predictions is peculiar to human affairs" (Merton), and an attempted rebuttal (Grunbaum). It is argued that Grunbaum's rebuttal is ineffective. (shrink)

Although the concept of Responsible Innovation (RI) has been applied to different types of innovations, three common assumptions have remained the same. First, emerging technologies require assessment because of their radical novelty and unpredictability. Second, early assessment is necessary to impact the innovation trajectory. Third, anticipation of unknowns is needed to prepare for the unpredictable. I argue that these assumptions do not hold for liminal innovation practices in clinical settings, which are defined by continuous transition on both sides of the (...) threshold between experiment and implementation, and between research and care. First of all, technologies at the center of liminal innovation practices have different characteristics than those typically attributed to emerging technologies. Additionally, the innovation trajectory is significantly different allowing continuous assessment and shaping long after implementation. Finally, these differences demand a reorientation in RI approaches for these cases, away from anticipation of the unknown and uncertain, and returning to observation of the known and predictable. (shrink)

A self-fulfilling prophecy in neuroprognostication occurs when a patient in coma is predicted to have a poor outcome, and life-sustaining treatment is withdrawn on the basis of that prediction, thus directly bringing about a poor outcome for that patient. In contrast to the predominant emphasis in the bioethics literature, we look beyond the moral issues raised by the possibility that an erroneous prediction might lead to the death of a patient who otherwise would have lived. Instead, we focus on the (...) problematic epistemic consequences of neuroprognostic SFPs in settings where research and practice intersect. When this sort of SFP occurs, the problem is that physicians and researchers are never in a position to notice whether their original prognosis was correct or incorrect, since the patient dies anyway. Thus, SFPs keep us from discerning false positives from true positives, inhibiting proper assessment of novel prognostic tests. This epistemic problem of SFPs thus impedes learning, but ethical obligations of patient care make it difficult to avoid SFPs. We then show how the impediment to catching false positive indicators of poor outcome distorts research on novel techniques for neuroprognostication, allowing biases to persist in prognostic tests. We finally highlight a particular risk that a precautionary bias towards early withdrawal of life-sustaining treatment may be amplified. We conclude with guidelines about how researchers can mitigate the epistemic problems of SFPs, to achieve more responsible innovation of neuroprognostication for patients in coma. (shrink)

When agents insert technological systems into their decision-making processes, they can obscure moral responsibility for the results. This can give rise to a distinct moral wrong, which we call “agency laundering.” At root, agency laundering involves obfuscating one’s moral responsibility by enlisting a technology or process to take some action and letting it forestall others from demanding an account for bad outcomes that result. We argue that the concept of agency laundering helps in understanding important moral problems in a number (...) of recent cases involving automated, or algorithmic, decision-systems. We apply our conception of agency laundering to a series of examples, including Facebook’s automated advertising suggestions, Uber’s driver interfaces, algorithmic evaluation of K-12 teachers, and risk assessment in criminal sentencing. We distinguish agency laundering from several other critiques of information technology, including the so-called “responsibility gap,” “bias laundering,” and masking. (shrink)

We offer an ethical assessment of the market for data used to generate what are sometimes called “consumer scores” (i.e., numerical expressions that are used to describe or predict people’s dispositions and behavior), and we argue that the assessment has ethical implications on how the market for consumer scoring data should be regulated. To conduct the assessment, we employ two heuristics for evaluating markets. One is the “harm” criterion, which relates to whether the market produces serious harms, either for participants (...) in the market, for third parties, or for society as a whole. The other is the “agency” criterion, which relates to whether participants understand the nature and significance of the exchanges they are making, if they can be guaranteed fair representation, or if there is differential need for the market’s good. We argue that consumer scoring data should be subject to the same sort of regulation as the older FICO credit scores. Although the movement in the 1990s that was aimed at regulating the FICO scores was not aimed at restraining a market per se, we argue that the reforms were underwritten by concerns about the same sorts of problems as those outlined by our heuristics. Therefore, consumer data should be subject to the same sort of regulation. (shrink)

Research programs in empirical psychology from the past two decades have revealed implicit biases. Although implicit processes are pervasive, unavoidable, and often useful aspects of our cognitions, they may also lead us into error. The most problematic forms of implicit cognition are those which target social groups, encoding stereotypes or reflecting prejudicial evaluative hierarchies. Despite intentions to the contrary, implicit biases can influence our behaviours and judgements, contributing to patterns of discriminatory behaviour. These patterns of discrimination are obviously wrong and (...) unjust. But in remedying such wrongs, one question to be addressed concerns responsibility for implicit bias. Unlike some paradigmatic forms of wrongdoing, such discrimination is often unintentional, unendorsed, and perpetrated without awareness; and the harms are particularly damaging because they are cumulative and collectively perpetrated. So, what are we to make of questions of responsibility? In this article, we outline some of the main lines of recent philosophical thought, which address questions of responsibility for implicit bias. We focus on (a) the kind of responsibility at issue; (b) revisionist versus nonrevisionist conceptions of responsibility as applied to implicit bias; and (c) individual, institutional, and collective responsibility for implicit bias. (shrink)

Professor Buck has given an illuminating account of the logical status of reflexive predictions in the social sciences. He tells us that the classification of a prediction as reflexive is predicated on a tacit distinction between the “normal” and the “abnormal” or perturbed conditions under which it is made. This seems to me to be a perceptive and sound circumscription of the class of reflexive predictions as encountered in the social sciences. He goes on to show helpfully how the social (...) scientist can cope with the pitfalls of spurious disconfirmation and spurious confirmation which are created by “self-frustrating” and “self-fulfilling” predictions respectively. And Professor Buck then offers some searching doubts concerning the adequacy of regarding self-fulfilling predictions as the pattern of racial discrimination against minority groups. Finally, he presents objections to my critique of Robert Merton's claim that self-defeating and self-fulfilling predictions are endemic to the domain of human affairs and are “not found among predictions about the world of nature.”. (shrink)

Imagine you are casually browsing an online bookstore, looking for an interesting novel. Suppose the store predicts you will want to buy a particular novel: the one most chosen by people of your same age, gender, location, and occupational status. The store recommends the book, it appeals to you, and so you choose it. Central to this scenario is an automated prediction of what you desire. This article raises moral concerns about such predictions. More generally, this article examines the ethics (...) of artificial social cognition—the ethical dimensions of attribution of mental states to humans by artificial systems. The focus is presumptuous aim attributions, which are defined here as aim attributions based crucially on the premise that the person in question will have aims like superficially similar people. Several everyday examples demonstrate that this sort of presumptuousness is already a familiar moral concern. The scope of this moral concern is extended by new technologies. In particular, recommender systems based on collaborative filtering are now commonly used to automatically recommend products and information to humans. Examination of these systems demonstrates that they naturally attribute aims presumptuously. This article presents two reservations about the widespread adoption of such systems. First, the severity of our antecedent moral concern about presumptuousness increases when aim attribution processes are automated and accelerated. Second, a foreseeable consequence of reliance on these systems is an unwarranted inducement of interpersonal conformity. (shrink)