[Note: articles 1-5 are in English; Intro, Discussion, and Conclusion are in Portuguese.] Responsibility practices that are part of our daily lives involve, among other things, standards about how one should praise, blame, or punish people for their actions, as well as particular acts that follow those standards to a greater or lesser extent. A classical question in philosophy asks whether human beings can actually be morally responsible for what they do. This dissertation argues that addressing this classical question is (...) insufficient if one wants the investigation of moral responsibility to serve the goal of improving ordinary responsibility practices. As an alternative, I offer directions for an interdisciplinary investigation that I take to be in a better position to promote that goal. My argument is developed in five articles and a discussion section. The first four articles describe limitations of skeptical views, which deny the existence of moral responsibility. The first article assesses a skeptical argument based on results from neuroscience that intends to show that there is no free will. I argue that a premise in the argument—which says that choices are determined by events in the brain—is not supported by the available results. The second article argues that, despite the fact that existent results do not show that choices are determined by brain events, further studies in neuroscience could in principle do that. The third article begins the discussion of limitations that concern the implementability of some of the changes in responsibility practices recommended in skeptical approaches. Specifically, I describe challenges that attempts to reduce the severity of legal punishment are likely to face due to psychological facts about belief in free will and desire to punish. The forth article presents results from an original experiment that sought to test a hypothesis about the workings of belief in free will and the desire to punish, namely the hypothesis that the desire to punish causally affects beliefs about free will. Results failed to support the hypothesis. Finally, the fifth article presents what I call the enhancement model, i.e., a proposal about how to structure an interdisciplinary investigation that can promote the enhancement of ordinary responsibility practices. The final discussion section shows how the enhancement model overcomes some of the limitations of recent discussions about the existence of moral responsibility, which includes not just the skeptical views considered in earlier articles, but also views that affirm the existence of moral responsibility and free will. The central claim of this dissertation, therefore, is that the investigation of moral responsibility can be rearranged so as to further the goal of improving ordinary responsibility practices. (shrink)

In the last few decades, the literature on moral responsibility has been increasingly populated by scientific studies. Studies in neuroscience and psychology, in particular, have been claimed to be relevant for discussions about moral responsibility in a number of ways. And at the same time, there is not yet a systematic understanding of the sort of questions a science of moral responsibility is supposed to answer. This paper is an attempt to move toward such an understanding. I discuss three models (...) for framing scientific questions relevant to an investigation of moral responsibility. The favored model—the Enhancement model—proposes that a science of moral responsibility has two descriptive tasks. First, science can describe the causes and effects of the many sorts of responses that constitute the human practices of moral responsibility, such as praise, blame, and punishment. And, second, science can describe how modifications aiming at the improvement of such practices can be achieved. Relatively to the other models to be considered, the Enhancement model is broader in scope and less tied to the traditional philosophical agenda on moral responsibility. (shrink)

As technology advances and artificial agents (AAs) become increasingly autonomous, start to embody morally relevant values and act on those values, there arises the issue of whether these entities should be considered artificial moral agents (AMAs). There are two main ways in which one could argue for AMA: using intentional criteria or using functional criteria. In this article, I provide an exposition and critique of “intentional” accounts of AMA. These accounts claim that moral agency should only be accorded to entities (...) that have internal mental states. Against this thesis I argue that the requirement of internal states is philosophically unsound as it runs up against the problem of other minds. In place of intentional accounts, I provide a functionalist alternative, which makes conceptual room for the existence of AMAs. The implications of this thesis are that at some point in the future we may be faced with moral situations in which no human being is responsible, but a machine may be. Moreover, this responsibility holds, I claim, independently of whether the agent in question is “punishable” or not. (shrink)

Neuroscientists have located brain activity that prepares or encodes action plans before agents are aware of intending to act. On the basis of these findings and broader agency research, activity in these regions has been proposed as the neural realizers of practical intention. My aim in this paper is to evaluate the case for taking these neural states to be neural representations of intention. I draw on work in philosophy of action on the role and nature of practical intentions to (...) construct a framework of the functional profile of intentions fit for empirical investigation. With this framework, I turn to the broader empirical neuroscience literature on agency to assess these proposed neural representations of intention. I argue that while these neural states in some respects satisfy the functions of intention in planning agency prospective of action, their fit with the role of intention in action execution is not well supported. I close by offering a sketch of which experimental task features could aid in the search for the neural realizer of intention in action. (shrink)