The current chapter provides an overview of research on responses in moral dilemmas where maximization of outcomes for the greater good (utilitarianism) conflicts with adherence to moral norms (deontology). Expanding on a description of the traditional paradigm to study moral-dilemma judgments (i.e., the trolley problem), the chapter reviews the most prominent dual-process account of moral-dilemma judgments, normative conclusions that have been derived from this account, and criticisms raised against this line of work. The following sections review advances in the development (...) of alternative approaches that aim to address shortcomings of the traditional dilemma paradigm as well as the implications of this work for psychological theories of moral-dilemma judgments and philosophical inferences about the normative implications of moral-dilemma research. The chapter concludes with a review of research on the links between moral-dilemma judgments and social impressions. (shrink)

Ethical decision-making frameworks assist in identifying the issues at stake in a particular setting and thinking through, in a methodical manner, the ethical issues that require consideration as well as the values that need to be considered and promoted. Decisions made about the use, sharing, and re-use of big data are complex and laden with values. This paper sets out an Ethics Framework for Big Data in Health and Research developed by a working group convened by the Science, Health and (...) Policy-relevant Ethics in Singapore Initiative. It presents the aim and rationale for this framework supported by the underlying ethical concerns that relate to all health and research contexts. It also describes a set of substantive and procedural values that can be weighed up in addressing these concerns, and a step-by-step process for identifying, considering, and resolving the ethical issues arising from big data uses in health and research. This Framework is subsequently applied in the papers published in this Special Issue. These papers each address one of six domains where big data is currently employed: openness in big data and data repositories, precision medicine and big data, real-world data to generate evidence about healthcare interventions, AI-assisted decision-making in healthcare, public-private partnerships in healthcare and research, and cross-sectoral big data. (shrink)

A long series of studies in social psychology have shown that the explanations people give for their own behaviors are fundamentally different from the explanations they give for the behaviors of others. Still, a great deal of uncertainty remains about precisely what sorts of differences one finds here. We offer a new approach to addressing the problem. Specifically, we distinguish between two levels of representation ─ the level of linguistic structure (which consists of the actual series of words used in (...) the explanation) and the level of conceptual structure (which consists of the concepts these words are used to express). We then formulate and test hypotheses both about self-other differences in conceptual structure and about self-other differences in the mapping from conceptual structure to linguistic structure. (shrink)

Based on a review of several “anomalies” in research using implicit measures, Machery (2021) dismisses the modal interpretation of participant responses on implicit measures and, by extension, the value of implicit measures. We argue that the reviewed findings are anomalies only for specific—influential but long-contested—accounts that treat responses on implicit measures as uncontaminated indicators of trait-like unconscious representations that coexist with functionally independent conscious representations. However, the reviewed findings are to-be-expected “normalities” when viewed from the perspective of long-standing alternative frameworks (...) that treat responses on implicit measures as the product of dynamic processes that operate on momentarily activated, consciously accessible information. Thus, although we agree with Machery that the modal view is empirically unsupported, we argue that implicit measures can make a valuable contribution to understanding the complexities of human behavior if they are used wisely in a way that acknowledges what they can and cannot do. (shrink)

The human ability to represent, conceptualize, and reason about mind and behavior is one of the greatest achievements of human evolution and is made possible by a “folk theory of mind” — a sophisticated conceptual framework that relates different mental states to each other and connects them to behavior. This chapter examines the nature and elements of this framework and its central functions for social cognition. As a conceptual framework, the folk theory of mind operates prior to any particular conscious (...) or unconscious cognition and provides the “framing” or interpretation of that cognition. Central to this framing is the concept of intentionality, which distinguishes intentional action (caused by the agent’s intention and decision) from unintentional behavior (caused by internal or external events without the intervention of the agent’s decision). A second important distinction separates publicly observable from publicly unobservable (i.e., mental) events. Together, the two distinctions define the kinds of events in social interaction that people attend to, wonder about, and try to explain. A special focus of this chapter is the powerful tool of behavior explanation, which relies on the folk theory of mind but is also intimately tied to social demands and to the perceiver’s social goals. A full understanding of social cognition must consider the folk theory of mind as the conceptual underpinning of all (conscious and unconscious) perception and thinking about the social world. (shrink)

Joshua Greene has argued that the empirical findings of cognitive science have implications for ethics. In particular, he has argued (1) that people’s deontological judgments in response to trolley problems are strongly influenced by at least one morally irrelevant factor, personal force, and are therefore at least somewhat unreliable, and (2) that we ought to trust our consequentialist judgments more than our deontological judgments when making decisions about unfamiliar moral problems. While many cognitive scientists have rejected Greene’s dual-process theory of (...) moral judgment on empirical grounds, philosophers have mostly taken issue with his normative assertions. For the most part, these two discussions have occurred separately. The current analysis aims to remedy this situation by philosophically analyzing the implications of moral dilemma research using the CNI model of moral decision-making – a formalized, mathematical model that decomposes three distinct aspects of moral-dilemma judgments. In particular, we show how research guided by the CNI model reveals significant conceptual, empirical, and theoretical problems with Greene’s dual-process theory, thereby questioning the foundations of his normative conclusions. (shrink)

It has been hypothesized that actors tend to attribute behavior to the situation whereas observers tend to attribute behavior to the person (Jones & Nisbett 1972). The authors argue that this simple hypothesis fails to capture the complexity of actual actor-observer differences in people’s behavioral explanations. A new framework is proposed in which reason explanations are distinguished from explanations that cite causes, especially stable traits. With this framework in place, it becomes possible to show that there are a number of (...) distinct actorobserver asymmetries in explanation, each stemming from a distinct psychological process by which explanations are generated. (shrink)

We identify several ongoing debates related to implicit measures, surveying prominent views and considerations in each debate. First, we summarize the debate regarding whether performance on implicit measures is explained by conscious or unconscious representations. Second, we discuss the cognitive structure of the operative constructs: are they associatively or propositionally structured? Third, we review debates whether performance on implicit measures reflects traits or states. Fourth, we discuss the question of whether a person’s performance on an implicit measure reflects characteristics of (...) the person who is taking the test or characteristics of the situation in which the person is taking the test. Finally, we survey the debate about the relationship between implicit measures and (other kinds of) behavior. (shrink)

What is the status of research on implicit bias? In light of meta‐analyses revealing ostensibly low average correlations between implicit measures and behavior, as well as various other psychometric concerns, criticism has become ubiquitous. We argue that while there are significant challenges and ample room for improvement, research on the causes, psychological properties, and behavioral effects of implicit bias continues to deserve a role in the sciences of the mind as well as in efforts to understand, and ultimately combat, discrimination (...) and inequality. (shrink)

In the context of climate change, this study uncovers the role of green airlines’ social responsibility in conjunction with the consumers’ switching behavior while considering the effects of latent variables, including green psychology, airline corporate image, green experimental behavior, green service fairness, green alternative attractiveness and switching intention, were examined in the study.

The article presents the idea that works of art are technologies for self-transformation and contextualises this idea within the discursive field of “aesthetic thinking”. It takes L. A. Paul’s concept of “transformative experiences” as a reference point and analyses the materiality of music as an example for an artistic medium through which these transformations can be initiated in a paradigmatic way. Contemporary philosophies of art by Alva Noë, Georg Bertram, and Christoph Menke, all dealing with the influence of art (...) on the self, are referenced and tentatively mapped onto one another, followed by a final presentation of twelve theses that subsume the leading ideas. (shrink)

Many psychologists studying lay belief attribution and behavior explanation cite Donald Davidson in support of their assumption that people construe beliefs as inner causes. But Davidson’s influential argument is unsound; there are no objective grounds for the intuition that the folk construe beliefs as inner causes that produce behavior. Indeed, recent experimental work by Ian Apperly, Bertram Malle, Henry Wellman, and Tania Lombrozo provides an empirical framework that accords well with Gilbert Ryle’s alternative thesis that the folk construe beliefs (...) as patterns of living that contextualize behavior. (shrink)

Michael Brownstein, Alex Madva, and Bertram Gawronski articulate a careful defense of research on implicit bias. They argue that though there is room for improvement in various areas, when we set the bar appropriately and when we are comparing relevant events, the test–retest stability and predictive ability of implicit bias measures are respectable. Edouard Machery disagrees. He argues that theories of implicit bias have failed to answer four fundamental questions about measures of implicit bias, and this undermines their utility (...) in further scientific research and policy making. In this article, I offer my perspective on this important debate. I argue that there is a theoretical mismatch in debating the merits of a research program on the terms of a specific theory within the research program. Nevertheless, the discussion allows us to see which questions are answered from within the perspective of a particular theory. I argue that the emphasis should be on whether implicit bias theories predict novel facts. (shrink)

This special edition brings together (1) the recent methodological worries of the moralism/realism and ideal/non-ideal theory debates with (2) the soaring ambition of work in international or global political theory, as found in, say, theories of global justice. Contributors are as follows: Chris Bertram, Jonathan Floyd, Aaron James, Terry MacDonald, David Miller, Shmulik Nili, Mathias Risse and Matt Sleat.

Back when I was a college freshman, I started working as a research assistant to a young graduate student named Bertram Malle. I hadn’t actually known very much about Malle’s work when I first signed up for the position, but as luck would have it, he was a brilliant researcher with an innovative new approach. Malle was interested in understanding people’s ordinary intuitions about intentional action – the way in which people’s ascriptions of belief, desire, awareness and so forth (...) ultimately feed into the process by which people determine whether or not a behavior was performed intentionally. Of course, this sort of question had already been pursued in countless philosophy papers, but Malle wanted to use a different approach. He wanted to study the problem experimentally. We ran a number of experiments together and then co-authored a paper, which was published in a social psychology journal. Yet although I found this type of research interesting and engaging, my real passion lay elsewhere. I was obsessively reading Nietzsche, along with some heavy doses of Kierkegaard, Hume, Marx, Wittgenstein and Aristotle. What I really wanted to do was to continue working on the very same sorts of questions I saw addressed in these thinkers. (shrink)