Online research in philosophy

Neuroimaging studies on moral decision-making have thus far largely focused on differences between moral judgments with opposing utilitarian (well-being maximizing) and deontological (duty-based) content. However, these studies have investigated moral dilemmas involving extreme situations, and did not control for two distinct dimensions of moral judgment: whether or not it is intuitive (immediately compelling to most people) and whether it is utilitarian or deontological in content. By contrasting dilemmas where utilitarian judgments are counterintuitive with dilemmas in which they are intuitive, we were able to use functional magnetic resonance imaging to identify the neural correlates of intuitive and counterintuitive judgments across a range of moral situations. Irrespective of content (utilitarian/deontological), counterintuitive moral judgments were associated with greater difficulty and with activation in the rostral anterior cingulate cortex, suggesting that such judgments may involve emotional conflict; intuitive judgments were linked to activation in the visual and premotor cortex. In addition, we obtained evidence that neural differences in moral judgment in such dilemmas are largely due to whether they are intuitive and not, as previously assumed, to differences between utilitarian and deontological judgments. Our findings therefore do not support theories that have generally associated utilitarian and deontological judgments with distinct neural systems.

Sunstein advocates a more systematic approach to the study of moral decision-making, namely the heuristics-and-biases paradigm. We offer two concerns and suggest that a focus on decision processes can add value. Recent research on decision modes suggest that it is useful to distinguish between the qualitative differences in the ways in which moral decisions can be made when they are not made by reflective, consequentialist reasoning.

Neuroethics, the study of the cognitive and neural mechanisms underlying ethical decision-making, is a growing field of study. In this review, we identify and discuss four themes emerging from neuroethics research. First, ethical decision-making appears to be distinct from other types of decision-making processes. Second, ethical decision-making entails more than just conscious reasoning. Third, emotion plays a critical role in ethical decision-making, at least under certain circumstances. Lastly, normative approaches to morality have distinct, underlying neural mechanisms. On the basis of these themes, we draw implications for research in business ethics and the practice of ethics training.

Recently, there has been a resurgence of interest in general, comprehensive models of human cognition. Such models aim to explain higher-order cognitive faculties, such as deliberation and planning. Given a computational representation, the validity of these models can be tested in computer simulations such as software agents or embodied robots. The push to implement computational models of this kind has created the field of artificial general intelligence (AGI). Moral decision making is arguably one of the most challenging tasks for computational approaches to higher-order cognition. The need for increasingly autonomous artificial agents to factor moral considerations into their choices and actions has given rise to another new field of inquiry variously known as Machine Morality, Machine Ethics, Roboethics, or Friendly AI. In this study, we discuss how LIDA, an AGI model of human cognition, can be adapted to model both affective and rational features of moral decision making. Using the LIDA model, we will demonstrate how moral decisions can be made in many domains using the same mechanisms that enable general decision making. Comprehensive models of human cognition typically aim for compatibility with recent research in the cognitive and neural sciences. Global workspace theory, proposed by the neuropsychologist Bernard Baars (1988), is a highly regarded model of human cognition that is currently being computationally instantiated in several software implementations. LIDA (Franklin, Baars, Ramamurthy, & Ventura, 2005) is one such computational implementation. LIDA is both a set of computational tools and an underlying model of human cognition, which provides mechanisms that are capable of explaining how an agent’s selection of its next action arises from bottom-up collection of sensory data and top-down processes for making sense of its current situation. We will describe how the LIDA model helps integrate emotions into the human decision-making process, and we will elucidate a process whereby an agent can work through an ethical problem to reach a solution that takes account of ethically relevant factors.

We use the phrase "moral intuition" to describe the appearance in consciousness of moral judgments or assessments without any awareness of having gone through a conscious reasoning process that produces this assessment. This paper investigates the neural substrates of moral intuition. We propose that moral intuitions are part of a larger set of social intuitions that guide us through complex, highly uncertain and rapidly changing social interactions. Such intuitions are shaped by learning. The neural substrates for moral intuition include fronto-insular, cingulate, and orbito-frontal cortices and associated subcortical structure such as the septum, basil ganglia and amygdala. Understanding the role of these structures undercuts many philosophical doctrines concerning the status of moral intuitions, but vindicates the claim that they can sometimes play a legitimate role in moral decision-making.

Much recent research has sought to uncover the neural basis of moral judgment. However, it has remained unclear whether "moral judgments" are sufficiently homogenous to be studied scientifically as a unified category. We tested this assumption by using fMRI to examine the neural correlates of moral judgments within three moral areas: (physical) harm, dishonesty, and (sexual) disgust. We found that the judgment ofmoral wrongness was subserved by distinct neural systems for each of the different moral areas and that these differences were much more robust than differences in wrongness judgments within a moral area. Dishonest, disgusting, and harmful moral transgression recruited networks of brain regions associated with mentalizing, affective processing, and action understanding, respectively. Dorsal medial pFC was the only region activated by all scenarios judged to be morally wrong in comparison with neutral scenarios. However, this region was also activated by dishonest and harmful scenarios judged not to be morally wrong, suggestive of a domain-general role that is neither peculiar to nor predictive of moral decisions. These results suggest that moral judgment is not a wholly unified faculty in the human brain, but rather, instantiated in dissociable neural systems that are engaged differentially depending on the type of transgression being judged.

The moral sentiments adumbrated by Adam Smith and Charles Darwin reflect some of our basic social appraisals of each other. One set of moral appraisals reflects disgust and withdrawal, a form of contempt. Another set of moral appraisals reflects active concern responses, an appreciation of the experiences (sympathy for some- one)of other individuals and approach related behaviors. While no one set of neural structures is designed for only moral appraisals, a diverse set of neural regions that include the gustatory/visceral neural axis, basal ganglia and iverse neocortical sites underlie moral judgment.

Empirical research in the field of moral cognition is increasingly being used to draw conclusions in philosophical moral psychology, in particular regarding sentimentalist and rationalist accounts of moral judgment. This paper calls for a reassessment of both the empirical and philosophical conclusions being drawn from the moral cognition research. It is proposed that moral decision making is best understood as a species of Kahneman and Frederick's dual-process model of decision making. According to this model, emotional intuition-generating processes and reflective processes operate in an integrated way in moral deliberation, and metacognition is assigned an essential role in the monitoring and shaping of moral intuitions. In combination with observations from philosophical moral psychology, this proposal cautions against endorsing simple sentimentalism or rejecting rationalist accounts on the basis of the moral cognition research.

Interest in the neural processes underlying decision making has led to a flurry of recent research in the fields of both moral psychology and neuroeconomics. In this paper, we first review some important findings from both disciplines, and then argue that the two fields can mutually benefit each other. A more explicit recognition of the role of values and norms will likely lead to more accurate models of decision making for neuroeconomists, whereas the tasks, insights into neural mechanisms, and mathematical modeling common in neuroeconomic research offer moral psychologists the opportunity to expand their field and move beyond methodological limitations that may have hindered the field’s progress to this point. We conclude by highlighting an exciting group of recent studies that illustrate the potential of research that embraces the integrated moral/neuroeconomic approach that we suggest here.

We critically review themushrooming literature addressing the neuralmechanisms of moral cognition (NMMC), reachingthe following broad conclusions: (1) researchmainly focuses on three inter-relatedcategories: the moral emotions, moral socialcognition, and abstract moral reasoning. (2)Research varies in terms of whether it deploysecologically valid or experimentallysimplified conceptions of moral cognition. Themore ecologically valid the experimentalregime, the broader the brain areas involved.(3) Much of the research depends on simplifyingassumptions about the domain of moral reasoningthat are motivated by the need to makeexperimental progress. This is a valuablebeginning, but as more is understood about theneural mechanisms of decision-making, morerealistic conceptions will need to replace thesimplified conceptions. (4) The neuralcorrelates of real-life moral cognition areunlikely to consist in anything remotely like a``moral module'' or a ``morality center.'' Moralrepresentations, deliberations and decisionsare probably highly distributed and notconfined to any particular brainsub-system. Discovering the basic neuralprinciples governing planning, judgment anddecision-making will require vastly more basicresearch in neuroscience, but correlatingactivity in certain brain regions withwell-defined psychological conditions helpsguide neural level research. Progress on socialphenomena will also require theoreticalinnovation in understanding the brain'sdistinctly biological form of computationthat is anchored by emotions, needs, drives,and the instinct for survival.