Recent empirical research results in the behavioral, cognitive, and neurosciences on the “adaptive unconscious” show that conscious control and deliberative awareness are not all-pervasive aspects of our everyday dealings with one another. Moral philosophers and other scientists have used these insights to put our moral agency to the test. The results of these tests are intriguing: apparently we are not always (or ever?) the moral agents we take ourselves to be. This paper argues in favor of a refinement of our (...) common perception of moral agency that can accommodate these results; however, it also argues against the suggestion that this refined concept is the result of a radical new understanding of our everyday moral practices. (shrink)

Can nonhuman animals and artificial intelligence (AI) entities be attributed moral agency? The general assumption in the philosophical literature is that moral agency applies exclusively to humans since they alone possess free will or capacities required for deliberate reflection. Consequently, only humans have been taken to be eligible for ascriptions of moral responsibility in terms of, for instance, blame or praise, moral criticism, or attributions of vice and virtue. Animals and machines may cause harm, but they cannot be appropriately ascribed (...) moral responsibility for their behavior. This thesis challenges the conventional paradigm by proposing an alternative approach where moral agency is conceived as the competence to participate in moral responsibility practices. By shifting focus from intra-individual to contextual and socially situated features, this practice-focused approach appears to make the attribution of moral agency to nonhuman animals and AI entities more plausible than commonly assumed. Moreover, considering the current and potential future prevalence of nonhuman animals and AI entities in everyday settings and social contexts, a potential extension of moral agency to such entities could very well transform our social, moral, and legal practices. Hence, this thesis proposes that the attribution or withholding of moral agency to different entities should be carefully evaluated, considering the potential normative implications. (shrink)

The concept of responsibility for health is a significant feature of health discourse and public health policy, but application of the concept is poorly understood. This paper offers an analysis of the concept in two ways. Following an examination of the use of the word ‘responsibility’ in the nursing and wider health literature using three examples, the concept of ‘responsibility for health’ as fulfilling a social function is discussed with reference to policy documents from the UK. The philosophical literature on (...) moral responsibility is introduced, and in considering two versions, reactive attitudes and accountability, it is argued that in application both can be regarded, though with different emphasis, as being constituted in three parts: a responsible agent; having obligations ; and being susceptible to being held responsible if he fails to meet them. The three‐stage model is consistent with the examples of the word responsibility in use, but application to the social function model causes a number of problems for healthcare practice, especially for the reactive attitudes account. Apart from considerable problems in stating what exactly the obligations are and how they can be justified; and how blame might justly be apportioned and by whom, the very ideas of obligation and blame are in conflict within healthcare systems and professional nursing practice which have foundations deeply embedded in the notion of the supremacy of personal autonomy. It is concluded that current application of the concept of responsibility for health is conceptually incoherent, and if it is to retain its place in health policy and discourse, urgent remedy is required. (shrink)

The notion of “responsibility gap” with artificial intelligence (AI) was originally introduced in the philosophical debate to indicate the concern that “learning automata” may make more difficult or impossible to attribute moral culpability to persons for untoward events. Building on literature in moral and legal philosophy, and ethics of technology, the paper proposes a broader and more comprehensive analysis of the responsibility gap. The responsibility gap, it is argued, is not one problem but a set of at least four interconnected (...) problems – gaps in culpability, moral and public accountability, active responsibility—caused by different sources, some technical, other organisational, legal, ethical, and societal. Responsibility gaps may also happen with non-learning systems. The paper clarifies which aspect of AI may cause which gap in which form of responsibility, and why each of these gaps matter. It proposes a critical review of partial and non-satisfactory attempts to address the responsibility gap: those which present it as a new and intractable problem (“fatalism”), those which dismiss it as a false problem (“deflationism”), and those which reduce it to only one of its dimensions or sources and/or present it as a problem that can be solved by simply introducing new technical and/or legal tools (“solutionism”). The paper also outlines a more comprehensive approach to address the responsibility gaps with AI in their entirety, based on the idea of designing socio-technical systems for “meaningful human control", that is systems aligned with the relevant human reasons and capacities. (shrink)

P.F. Strawson famously argued that reactive attitudes and ordinary moral practices justify moral assessments of blame, praise, and punishment. Here we consider whether Strawson's approach can illuminate the concept of desert. After reviewing standard attempts to analyze this concept and finding them lacking, we suggest that to deserve something is to justifiably receive a moral assessment in light of certain criteria – in particular, eligibility criteria (a subject's properties that make the subject principally eligible for moral assessments) and assignment criteria (...) (particulars about the subject, act, and circumstances that justify assessments such as blame in a particular case). Strawson's analysis of the ordinary attitudes and practices of moral assessment hints at these criteria but does not unequivocally ground a notion of desert. Following Strawson's general naturalistic approach, we show that recent psychological research on folk concepts and practices regarding freedom, moral responsibility, and blame illuminates how people actually arrive at moral assessments, thus revealing the very eligibility criteria and assignment criteria we suggest ground a concept of desert. By pushing the Strawsonian line even further than Strawson did, by empirically investigating actual moral practice and folk understandings, we can illuminate desert and lend credence to Strawson's general anti-metaphysical position. (shrink)

Ethical instruction is critical for trainee accountants. Various teaching methods, both active and passive, are normally utilised when teaching accounting ethics. However, students’ learning styles are rarely assessed. This study evaluates the learning styles of accounting students and assesses the interaction of teaching methods and learning styles in an ethics instruction environment. The ethical attitudes and preferred learning styles of a cohort (137) of final year accounting students were evaluated pre-instruction. They were then subject to three different teaching methods while (...) studying ethics during an auditing course. When ethical attitudes and preferred learning styles were re-assessed post-instruction, the teaching methods were found to have influenced active learners more than passive ones. Furthermore, when learning styles matched teaching methods used, usefulness was assessed as high but when learning styles and teaching methods differed, usefulness deteriorated significantly. Students displayed a preference for passive learning styles, despite being so advanced in their education. The implications are that instructors should consider learning styles before deciding on appropriate teaching methods, in accounting ethics environments. (shrink)

Sometimes we make mistakes, even when we try to do our best. When those mistakes are about normative matters, such as what is required, this leads to a puzzle. This puzzle arises from the possibility of misleading evidence about what rationality requires. I argue that the best way to solve this puzzle is to distinguish between two kinds of evaluation: requirement and appraisal. The strategy I defend connects three distinct debates in epistemology, ethics, and normativity: the debate over how our (...) theories of epistemic rationality should accommodate misleading evidence, the debate over the relationship between complying with requirements and deserving particular appraisals, and the debate over whether normative ignorance can excuse. Part 1 shows how three apparently plausible claims about epistemic rationality generate a puzzle when agents have misleading evidence about what rationality requires. Part 2 solves this puzzle by distinguishing between evaluations of requirement and appraisal and rejecting the idea that one is required to conform to the Enkratic Principle. I argue instead that complying with the Enkratic Principle provides defeasible evidence that the agent should be positively appraised. One of the consequences of this solution is that false normative beliefs can sometimes excuse agents from negative appraisal they would otherwise deserve for violating requirements. Part 3 defends the view that false normative belief can sometimes excuse against the rival views that false normative belief always excuses, and that false normative belief never excuses. I argue that false normative belief can sometimes excuse violations of requirements, when it is the case that the agent has done what it is reasonable to expect of her. (shrink)