This book challenges the view that bad beliefs - beliefs that blatantly conflict with easily available evidence - can largely be explained by widespread irrationality, instead arguing that ordinary people are rational agents whose beliefs are the result of their rational response to the evidence they're presented with.

Implicit attitudes are mental states that appear sometimes to cause agents to act in ways that conflict with their considered beliefs. Implicit attitudes are usually held to be mere associations between representations. Recently, however, some philosophers have suggested that they are, or are very like, ordinary beliefs: they are apt to feature in properly inferential processing. This claim is important, in part because there is good reason to think that the vocabulary in which we make moral assessments of ourselves and (...) of others is keyed to folk psychological concepts, like ‘belief’, and not to concepts that feature only in scientific psychology: if implicit attitudes are beliefs there is a prima facie case for thinking that they can serve as the basis for particular kinds of moral assessment. In this paper I argue that while implicit attitudes have propositional structure, their sensitivity and responsiveness to other mental representations is too patchy and fragmented for them to properly be considered beliefs. Instead, they are a sui generis kind of mental state, a state I dub patchy endorsements. (shrink)

In this chapter, we argue for three theses: (1) we lack the power to form beliefs at will (i.e., directly); at very least, we lack the power to form at will beliefs of the kind that proponents of doxastic voluntarism have in mind; but (2) we possess a propensity to form beliefs for non-epistemic reasons; and (3) these propensities—once we come to know we have them—entail that we have obligations similar to those we would have were doxastic voluntarism true. Specifically, (...) we will argue that we have obligations to avoid triggering these propensities to form beliefs that are unwarranted or even immoral. (shrink)

A number of concerns have been raised about the possible future use of pharmaceuticals designed to enhance cognitive, affective, and motivational processes, particularly where the aim is to produce morally better decisions or behavior. In this article, we draw attention to what is arguably a more worrying possibility: that pharmaceuticals currently in widespread therapeutic use are already having unintended effects on these processes, and thus on moral decision making and morally significant behavior. We review current evidence on the moral effects (...) of three widely used drugs or drug types: propranolol, selective serotonin reuptake inhibitors, and drugs that effect oxytocin physiology. This evidence suggests that the alterations to moral decision making and behavior caused by these agents may have important and difficult-to-evaluate consequences, at least at the population level. We argue that the moral effects of these and other widely used pharmaceuticals warrant further empirical research and ethical analysis. (shrink)

Many biological investigations are organized around a small group of species, often referred to as ‘model organisms’, such as the fruit fly Drosophila melanogaster. The terms ‘model’ and ‘modelling’ also occur in biology in association with mathematical and mechanistic theorizing, as in the Lotka–Volterra model of predator-prey dynamics. What is the relation between theoretical models and model organisms? Are these models in the same sense? We offer an account on which the two practices are shown to have different epistemic characters. (...) Theoretical modelling is grounded in explicit and known analogies between model and target. By contrast, inferences from model organisms are empirical extrapolations. Often such extrapolation is based on shared ancestry, sometimes in conjunction with other empirical information. One implication is that such inferences are unique to biology, whereas theoretical models are common across many disciplines. We close by discussing the diversity of uses to which model organisms are put, suggesting how these relate to our overall account. 1 Introduction2 Volterra and Theoretical Modelling3 Drosophila as a Model Organism4 Generalizing from Work on Model Organisms5 Phylogenetic Inference and Model Organisms6 Further Roles of Model Organisms6.1 Preparative experimentation6.2 Model organisms as paradigms6.3 Model organisms as theoretical models6.4 Inspiration for engineers6.5 Anchoring a research community7 Conclusion. (shrink)

This book brings cutting edge neuroscience and psychology into dialogue with philosophical reflection to illuminate the loss of control experienced by addicts, and thereby cast light on ordinary agency and the way in which it sometimes goes wrong.

Addiction is almost universally held to be characterized by a loss of control over drug-seeking and consuming behavior. But the actions of addicts, even of those who seem to want to abstain from drugs, seem to be guided by reasons. In this paper, I argue that we can explain this fact, consistent with continuing to maintain that addiction involves a loss of control, by understanding addiction as involving an oscillation between conflicting judgments. I argue that the dysfunction of the mesolimbic (...) dopamine system that typifies addictions causes the generation of a mismatch between the top-down model of the world that reflects the judgment that the addict ought to refrain from drugs, and bottom-up input caused by cues predictive of drug availability. This constitutes a powerful pressure toward revising the judgment and thereby attenuating the prediction error. But the new model is not stable, and shifts under the pressure of bottom-up inputs in different contexts; hence the oscillation of all-things-considered judgment. Evidence from social psychology is adduced, to suggest that a similar process may be involved in ordinary cases of weakness of will. (shrink)

Although the literature on social innovation has focused primarily on social enterprises, social innovation has long occurred within mainstream corporations. Drawing upon recent scholarship on social movements and institutional complexity, we analyze how movements foster corporate social innovation (CSI). Our context is the adoption of green information systems (“green IS”), which are information systems employed to transform organizations and society into more sustainable entities. We trace the historical emergence of green IS as a corporate response to increasing demands for sustainability (...) reporting, a key social innovation that environmental activists helped to create. Drawing upon extensive survey data from more than 400 U.S. firms, we then examine how managers perceived environmental activism in relation to broader field pressures for change and how their perceptions of both were related to green IS adoption. The results reveal that activists were more effective at influencing adoption indirectly by transforming organizational fields than by directly influencing corporate managers. Combined with the historical analysis, these findings suggest that CSI emerged out of ongoing interactions between activists, corporate managers, and other influential actors within a broader social innovation system. Activists helped to create conditions for social innovation, but corporations took the lead in developing new practices. (shrink)

In his last two books and in the essays and interviews associated with them, Foucault develops a new mode of ethical thought he describes as an aesthetics of existence. I argue that this new ethics bears a striking resemblance to the virtue ethics that has become prominent in Anglo-American moral philosophy over the past three decades, in its classical sources, in its opposition to rule-based systems and its positive emphasis upon what Foucault called the care for the self. I suggest (...) that seeing Foucault and virtue ethicists as engaged in a convergent project sheds light on a number of obscurities in Foucault's thought, and provides us with a historical narrative in which to situate his claims about the development of Western moral thought. (shrink)

Several ethicists have argued that research trials and treatment programs that involve the provision of drugs to addicts are prima facie unethical, because addicts can’t refuse the offer of drugs and therefore can’t give informed consent to participation. In response, several people have pointed out that addiction does not cause a compulsion to use drugs. However, since we know that addiction impairs autonomy, this response is inadequate. In this paper, I advance a stronger defense of the capacity of addicts to (...) participate in the programs envisaged. I argue that it is only in certain circumstances that addicts find themselves choosing in ways that conflict with their genuine preferences. Research and treatment programs have none of the features that characterize choices in these autonomy-undermining circumstances, and there is therefore no reason to think that addicts lack the capacity to give informed consent to these programs. (shrink)

A key component of research on human sentence processing is to characterize the processing difficulty associated with the comprehension of words in context. Models that explain and predict this difficulty can be broadly divided into two kinds, expectation‐based and memory‐based. In this work, we present a new model of incremental sentence processing difficulty that unifies and extends key features of both kinds of models. Our model, lossy‐context surprisal, holds that the processing difficulty at a word in context is proportional to (...) the surprisal of the word given a lossy memory representation of the context—that is, a memory representation that does not contain complete information about previous words. We show that this model provides an intuitive explanation for an outstanding puzzle involving interactions of memory and expectations: language‐dependent structural forgetting, where the effects of memory on sentence processing appear to be moderated by language statistics. Furthermore, we demonstrate that dependency locality effects, a signature prediction of memory‐based theories, can be derived from lossy‐context surprisal as a special case of a novel, more general principle called information locality. (shrink)

I am to grateful to Geoff Keeling for his perceptive response1 to my paper.2 In this brief reply, I will argue that he does not succeed in his goal of showing that nudges to reason do not respect autonomy. At most, he establishes only that such nudges may threaten autonomy when used in certain ways and in certain circumstances. As I will show, this is not a conclusion that should give us grounds for particular concerns about nudges. Before turning to (...) this issue, let me correct some small issues of interpretation of my paper. Keeling takes me to be committed to three descriptive claims: that we have entered a post-truth era, that our problem with the rational assessment of evidence is explained by or stems from the backfire effect and that nudges to reason work by exploiting affective mechanisms. I am not committed to accepting any of these claims. …. (shrink)

Response to commentary. We are grateful to Crockett and Craigie for their interesting remarks on our paper. We accept Crockett’s claim that there is a need for caution in drawing inferences about patient groups from work on healthy volunteers in the laboratory. However, we believe that the evidence we cited established a strong presumption that many of the patients who are routinely taking a medication, including many people properly prescribed the medication for a medical condition, have morally significant aspects of (...) their cognition and behavior modified in a way that is unintended and may sometimes be unwelcome. Crockett notes that in some cases the effects of long-term drug use may differ, sometimes markedly, from the effects of short-term use. However, if acute use of a drug affects a neural system involved in mediating moral cognition or behavior, this nevertheless provides some evidence that chronic use of the drug may affect that same system and thus have morally significant effects. It is also plausible, in some cases, that an acute moral effect would give rise to a chronic moral effect via cognitive mechanisms. ... (shrink)

The Global Reporting Initiative (GRI) has successfully become institutionalized as the preeminent global framework for voluntary corporate environmental and social reporting. Its success can be attributed to the “institutional entrepreneurs” who analyzed the reporting field and deployed discursive, material, and organizational strategies to change it. GRI has, however, fallen short of the aspirations of its founders to use disclosure to empower nongovernmental organizations (NGOs). The authors argue that its trajectory reflects the power relations between members of the field, their strategic (...) choices and compromises, their ability to mobilize alliances and resources, and constraints imposed by the broader institutions of financial and capital markets. The authors draw three notable implications from this study. First, institutional theory needs to pay more attention to economic structures, strategies, and resources. Second, institutional entrepreneurship by relatively weak societal groups such as NGOs is inherently constrained by the structural power of wider institutions and by the compromises required to initiate change. Third, the strategies of NGOs represent a form of power capable of shifting, if not transforming, the field of corporate governance. (shrink)

Design thinking in general, and optimality modeling in particular, have traditionally been associated with adaptationism—a research agenda that gives pride of place to natural selection in shaping biological characters. Our goal is to evaluate the role of design thinking in non-evolutionary analyses. Specifically, we focus on research into abstract design principles that underpin the functional organization of extant organisms. Drawing on case studies from engineering-inspired approaches in biology we show how optimality analysis, and other design-related methods, play a specific methodological (...) role that is tangential to the study of adaptation. To account for the role of these reasoning strategies in contemporary biology, we therefore suggest a reevaluation of the connection between design thinking and adaptationism. (shrink)

Peter Baumann uses the Monty Hall game to demonstrate that probabilities cannot be meaningfully applied to individual games. Baumann draws from this first conclusion a second: in a single game, it is not necessarily rational to switch from the door that I have initially chosen to the door that Monty Hall did not open. After challenging Baumann's particular arguments for these conclusions, I argue that there is a deeper problem with his position: it rests on the false assumption that what (...) justifies the switching strategy is its leading me to win a greater percentage of the time. In fact, what justifies the switching strategy is not any statistical result over the long run but rather the "causal structure" intrinsic to each individual game itself. Finally, I argue that an argument by Hilary Putnam will not help to save Baumann's second conclusion above. (shrink)

This book offers an original account of the history of liberal thought, one grounded in an institutional history of medieval pluralism and the early modern rationalizing state, and explores the deep tensions that liberal political thought rests upon.

In this highly original book, Donald Levy considers the most important and persuasive of these philosophical criticisms, as articulated by four figures: Ludwig Wittgenstein, William James, Alasdair MacIntyre, and Adolf Grunbaum.

This paper provides a roadmap for engaging in cross-cultural, developmental research in practical, ethical, and community-engaged ways. To cultivate the flexibility necessary for conducting cross-cultural research, we structure our roadmap as a series of questions that each research program might consider prior to embarking on cross-cultural examinations in developmental science. Within each topic, we focus on the challenges and opportunities inherent to different types of study designs, fieldwork, and collaborations because our collective experience in conducting research in multiple cultural contexts (...) has taught us that there can be no single “best practice”. Here we identify the challenges that are unique to cross-cultural research as well as present a series of recommendations and guidelines. We also bring to the forefront ethical considerations which are rarely encountered in the laboratory context, but which researchers face daily while conducting research in a cultural context which one is not a member. As each research context requires unique solutions to these recurring challenges, we urge researchers to use this set of questions as a starting point, and to expand and tailor the questions and potential solutions with community members to support their own research design or cultural context. This will allow us to move the field towards more inclusive and ethical research practices. (shrink)

Openness and transparency are becoming hallmarks of responsible data practice in science and governance. Concerns about data falsification, erroneous analysis, and misleading presentation of research results have recently strengthened the call for new procedures that ensure public accountability for data-driven decisions. Though we generally count ourselves in favor of increased transparency in data practice, this Commentary highlights a caveat. We suggest that legislative efforts that invoke the language of data transparency can sometimes function as “Trojan Horses” through which other political (...) goals are pursued. Framing these maneuvers in the language of transparency can be strategic, because approaches that emphasize open access to data carry tremendous appeal, particularly in current political and technological contexts. We illustrate our argument through two examples of pro-transparency policy efforts, one historical and one current: industry-backed “sound science” initiatives in the 1990s, and contemporary legislative efforts to open environmental data to public inspection. Rules that exist mainly to impede science-based policy processes weaponize the concept of data transparency. The discussion illustrates that, much as Big Data itself requires critical assessment, the processes and principles that attend it—like transparency—also carry political valence, and, as such, warrant careful analysis. (shrink)

Why is it that the study of Ethics is so unpopular? It is because there are so many systems of Ethics, and they are all in such hopeless contradiction. Why are there so many systems? Because each writer starts with his theory and then attempts to get the facts to agree with it. What is the remedy? The remedy, says Professor Levy-Bruhl, is to start with the practice. And what then? Then, he says, you find that the practice is (...) everything, that you need no theory, and that every ethical writer is in harmony with every other. 'Every ethical doctrine,' says Professor Levy-Bruhl, 'jealously defends the originality of its ethical principle against the objections of others, but it formulates the guiding rules of conduct, the concrete precepts of justice and charity, in the same terms as its rivals, whether its adherent is a disciple of Kant, a critical philosopher, a pessimist, a positivist, an evolutionist, a spiritualist, or a theologian.' The way out of the chaos of theoretical Ethics, then, is to deny its existence. There is no such science. The only science of Ethics is the practical. Its object of study is the conscience of man. Its rules and obligations are what the conscience reveals to experience. It takes Professor Levy-Bruhl half his book to get rid of theoretical ethics. Then, however, he is free, and he moves more rapidly in the discussion of Natural Ethics and Ethical Feeling. He ends with a chapter of Practical Results. -The Expository Times, Vol. 17. (shrink)

Analogies to machines are commonplace in the life sciences, especially in cellular and molecular biology — they shape conceptions of phenomena and expectations about how they are to be explained. This paper offers a framework for thinking about such analogies. The guiding idea is that machine-like systems are especially amenable to decompositional explanation, i.e., to analyses that tease apart underlying components and attend to their structural features and interrelations. I argue that for decomposition to succeed a system must exhibit causal (...) orderliness, which I explicate in terms of differentiation among parts and the significance of local relations. I also discuss what makes a model depict its target as machine-like, suggesting that a key issue is the degree of detail with respect to the target’s parts and their interrelations. (shrink)