In this chapter we first discuss the main principles of justice and note the standard objections to them, which we believe necessitate a hybrid approach. The hybrid account we defend is primarily based on the distributive principle of sufficientarianism, which we interpret as the idea that each country should have the means to provide a minimally decent quality of life for each of its citizens. We argue that sufficientarian considerations give good reason to think that what we call the ‘ability (...) to pay objection’ should be taken much more seriously in this debate. Following this, our account emphasises what we believe are the two most important moral desiderata in any attempt to distribute responsibility for dealing with climate change: the ability to mitigate the problem and the making of culpable contributions to the problem. After noting that our proposal includes enough detail to be a useful start for policy makers, we defend our account against some potential objections. (shrink)

The Milgram and other situationist experiments support the real-life evidence that most of us are highly akratic and heteronomous, and that Aristototelian virtue is not global. Indeed, like global theoretical knowledge, global virtue is psychologically impossible because it requires too much of finite human beings with finite powers in a finite life; virtue can only be domain-specific. But unlike local, situation-specific virtues, domain-specific virtues entail some general understanding of what matters in life, and are connected conceptually and causally to our (...) traits in other domains. The experiments also make us aware of how easily unobtrusive situational factors can tap our susceptibilities to obedience, conformity, irresponsibility, cruelty, or indifference to others’ welfare, thereby empowering us to change ourselves for the better. Thus, they advance the Socratic project of living the examined life. I note a remarkable parallel between the results of the baseline Milgram experiments and the results of the learned helplessness experiments by Martin Seligman et al. This provides fresh insight into the psychology and character of the obedient Milgram subjects, and I use this insight to argue that pusillanimity, as Aristotle conceives of it, is part of a complete explanation of the behavior of the obedient Milgram subjects. (shrink)

While there is now considerable anxiety about whether the psychological theory presupposed by virtue ethics is empirically sustainable, analogous issues have received little attention in the virtue epistemology literature. This paper argues that virtue epistemology encounters challenges reminiscent of those recently encountered by virtue ethics: just as seemingly trivial variation in context provokes unsettling variation in patterns of moral behavior, trivial variation in context elicits unsettling variation in patterns of cognitive functioning. Insofar as reliability is a condition on epistemic virtue, (...) we have reason to doubt that human beings possess the cognitive materials required for epistemic virtue, and thereby reason to think that virtue epistemology is threatened by skepticism. We conclude that while virtue epistemology has resources for addressing this challenge, exploiting these resources forces tradeoffs between empirical and normative adequacy. (shrink)

Virtue ethics prescribes cultivating global and behaviorally efficacious character traits, but John Doris and others argue that situationist social psychology shows this to be infeasible. Here, I show how certain versions of virtue ethics that ‘go mental’ can withstand this challenge as well as Doris’ further objections. The defense turns on an account of which psychological materials constitute character traits and which the situationist research shows to be problematically variable. Many situationist results may be driven by impulsive akrasia produced by (...) low-level , emotionally induced ignorance about one’s situation, and some may be driven by a further subtype: modal akrasia. Many subjects in the infamous Milgram experiments, e.g., seem to have recognized what the virtuous thing to do was and that they should do it, and only failed to do it because their emotions prevented them from seeing that they could. If the primary constituents of character traits are higher-level mental dispositions involved in deliberation, though, then the results don’t show that these psychological materials are problematically variable. (shrink)

Recent work in various branches of philosophy has reinvigorated debate over the psychology behind moral judgment. Using Marc Hauser's categorization of theories as “Kantian,” “Humean,” or “Rawlsian” to frame the discussion, I argue that the existing evidence weighs against the Kantian model and partly in favor of both the Humean and the Rawlsian models. Emotions do play a causal role in the formation of our moral judgments, as the Humean model claims, but there are also unconscious principles shaping our moral (...) judgments, as the Rawlsian model predicts. Thus, Hauser's tripartite division of possible models of moral psychology is inadequate. Drawing on research in cognitive neuroscience, clinical and behavioral psychology, and psychopathology, I sketch a new, developmental sentimentalist model of moral psychology. I call it a “Mencian” model, after the Confucian philosopher Mencius. On this model, moral judgments are caused by emotions, but because of the way emotions are mapped onto particular actions, moral judgments unconsciously reflect certain principled distinctions. (shrink)

In Homo Deus, Yuval Noah Harari argues that technological advances of the twenty-first century will usher in a significant shift in how humans make important life decisions. Instead of turning to the Bible or the Quran, to the heart or to our therapists, parents, and mentors, people will turn to Big Data recommendation algorithms to make these choices for them. Much as we rely on Spotify to recommend music to us, we will soon rely on algorithms to decide our careers, (...) spouses, and commitments. Harari also predicts that next, the state will take away individuals’ rights to make their own choices about their lives. If Google knows where your children would flourish best in school, why should the state allow a fallible human parent to decide? Liberalism—which, as Harari uses this term, refers to a state of society in which human freedom to choose is respected and championed—will collapse. In this paper, I argue that Harari’s conception of the future implications of recommendation algorithms is deeply flawed, for two reasons. First, users will not rely on algorithms to make decisions for them because they have no reason to trust algorithms, which are developed by companies with their own incentives, such as profit. Second, for most of our life decisions, algorithms will not be able to be developed, because the factors relevant to the decisions we face are unique to our situation. I present an alternative depiction of the future: instead of relying on algorithms to make decisions for us, humans will use algorithms to enhance our decision-making by helping us consider the most relevant choices first and notice information we might not otherwise. Finally, I will also argue that even if computers could make many of our decisions for us, liberalism as a political system would emerge unscathed. (shrink)

Situationists such as John Doris, Gilbert Harman, and Maria Merritt suppose that appeal to reliable behavioral dispositions can be dispensed with without radical revision to morality as we know it. This paper challenges this supposition, arguing that abandoning hope in reliable dispositions rules out genuine trust and forces us to suspend core reactive attitudes of gratitude and resentment, esteem and indignation. By examining situationism through the lens of trust we learn something about situationism (in particular, the radically revisionary moral implications (...) of its adoption) as well as something about trust (in particular, that the conditions necessary for genuine trust include a belief in a capacity for robust dispositions). (shrink)