This book is a defence of the philosophy of common sense in the spirit of Thomas Reid and G.E. Moore, drawing on the work of Aristotle, evolutionary biology and psychology, and historical studies on the origins of early modern philosophy. It defines and explores common sense beliefs, and defends them from challenges from prominent philosophers.

According to Dewey, we are responsible for our conduct because it is “ourselves objectified in action”. This idea lies at the heart of an increasingly influential deep self approach to moral responsibility. Existing formulations of deep self views have two major problems: They are often underspecified, and they tend to understand the nature of the deep self in excessively rationalistic terms. Here I propose a new deep self theory of moral responsibility called the Self-Expression account that addresses these issues. The (...) account is composed of two parts. The first part answers the question, What is a deep self? Theorists have tended to favor cognitive views that understand the deep self in terms of rationally formed evaluative judgment. I propose instead a conative view that says one’s deep self consists of a distinctive kind of pro-attitude, cares, and I provide an account of cares in terms of their distinctive psychological functional role. The second part answers the question, When does an action express one’s deep self? I criticize the agentially demanding conditions set out in existing views and propose a more minimalist alternative. I show that the Self-Expression account handles issues that bedeviled traditional deep self views, including how to explain moral responsibility for spontaneous, out of character, and weak-willed actions. (shrink)

Aristotle’s account of voluntariness (to hekousion) lacks a sufficiently precise positive definition of ‘voluntary’. This is a problem: in Aristotle’s ethics, voluntariness is an important and unifying joint between psychological (character) and practical matters (action). I contend that Aristotle implicitly defines voluntariness as positive causal relation to an agent’s desire, where one’s character is the state of one’s faculty of desire. Since desires always have particular ends (final causes), a voluntary action is one which originates in the agent’s desire for (...) that action’s end. Using this interpretation, I answer questions about ‘mixed’ actions, culpable ignorance, and non-voluntariness. Without this interpretation, these questions cannot be systematically answered. (shrink)

When should a company introduce a new ethical norm? This article uses the value-belief-norm theory to argue that the more an ethical issue threatens a company's ethical value and the more the company has an ethical responsibility to protect such value against such threat, then the more desirable it is for a company to establish ethical norms to protect said value. Distinguishing seven characteristics of an ethical issue and four conditions for a company's ethical responsibility helps identify the situations in (...) which a company should introduce a new ethical norm. The resulting framework, with corresponding guidelines, specifies two accelerators and one inhibitor that influence the desirable speed for introducing new norms. (shrink)

I argue that, in light of his critique of rival theories of efficient causation, there is a puzzle latent in Aristotle’s own account. To show this, I consider one of his preferred examples of such causation, the activity of experts. Solving the puzzle yields a novel reading of Aristotle, one according to which experts, but not their characteristic arts or skills, are efficient causes.

During the last decade there has been burgeoning research concerning the ways in which we should think of and apply the concept of responsibility for Artificial Intelligence. Despite this conceptual richness, there is still a lack of consensus regarding what Responsible AI entails on both conceptual and practical levels. The aim of this paper is to connect the ethical dimension of responsibility in Responsible AI with Aristotelian virtue ethics, where notions of context and dianoetic virtues play a grounding role for (...) the concept of moral responsibility. The paper starts by highlighting the important difficulties in assigning responsibility to either technologies themselves or to their developers. Top-down and bottom-up approaches to moral responsibility are then contrasted, as we explore how they could inform debates about Responsible AI. We highlight the limits of the former ethical approaches and build the case for classical Aristotelian virtue ethics. We show that two building blocks of Aristotle’s ethics, dianoetic virtues and the context of actions, although largely ignored in the literature, can shed light on how we could think of moral responsibility for both AI and humans. We end by exploring the practical implications of this particular understanding of moral responsibility along the triadic dimensions of ethics by design, ethics in design and ethics for designers. (shrink)

Deep learning AI systems have proven a wide capacity to take over human-related activities such as car driving, medical diagnosing, or elderly care, often displaying behaviour with unpredictable consequences, including negative ones. This has raised the question whether highly autonomous AI may qualify as morally responsible agents. In this article, we develop a set of four conditions that an entity needs to meet in order to be ascribed moral responsibility, by drawing on Aristotelian ethics and contemporary philosophical research. We encode (...) these conditions and generate a flowchart that we call the Moral Responsibility Test. This test can be used as a tool both to evaluate whether an entity is a morally responsible agent and to inform human moral decision-making over the influencing variables of the context of action. We apply the test to the case of Artificial Moral Advisors and conclude that this form of AI cannot qualify as morally responsible agents. We further discuss the implications for the use of AMAs as moral enhancement and show that using AMAs to offload human responsibility is inadequate. We argue instead that AMAs could morally enhance users if they are interpreted as enablers for moral knowledge of the contextual variables surrounding human moral decision-making, with the implication that such a use might actually enlarge human moral responsibility. (shrink)

In this dissertation, I argue that we ought to accept an agent-causal view of free and responsible action. First, I set the stage for this claim by highlighting our intuitions regarding moral responsibility and freedom, and by ruling out competing positions. I support Harry Frankfurt's claim that responsibility does not require the ability to do otherwise. I go beyond this claim, however, to argue that responsibility requires that one be the true originator of one's action, and that this requires a (...) kind of freedom that is incompatible with determinism. To bolster this last claim, I argue against the compatibilist, “guidance control” view of John Martin Fischer and Mark Ravizza. I believe the weaknesses of their interesting and compelling view denote potential problems for any compatibilist position. After arguing for incompatibilism, I argue against non-agent-causal incompatibilist views. Specifically, I argue against Robert Kane's “teleological intelligibility theory.” In the final chapters of my project, I lay out my agent-causal view. I argue that agent-causation is possible and coherent if one accepts a realist view of causes. I appeal to Randolph Clarke's idea that the relation between agent and cause is the same relation as that between event and cause. This serves to alleviate the “mysteriousness” of agent-causation. Having shown that it is possible and coherent, and having ruled out competing views in preceding chapters, I am now in position to claim that agent-causation is the correct view. I also demonstrate that it is a compelling position in its own right because it accords with our most basic understanding of ourselves as agents. (shrink)