This article examines two questions about scientists’ search for knowledge. First, which search strategies generate discoveries effectively? Second, is it advantageous to diversify search strategies? We argue pace Weisberg and Muldoon, “Epistemic Landscapes and the Division of Cognitive Labor”, that, on the first question, a search strategy that deliberately seeks novel research approaches need not be optimal. On the second question, we argue they have not shown epistemic reasons exist for the division of cognitive labor, identifying the errors that led (...) to their conclusions. Furthermore, we generalize the epistemic landscape model, showing that one should be skeptical about the benefits of social learning in epistemically complex environments. (shrink)

Trolley cases are widely considered central to the ethics of autonomous vehicles. We caution against this by identifying four problems. Trolley cases, given technical limitations, rest on assumptions that are in tension with one another. Furthermore, trolley cases illuminate only a limited range of ethical issues insofar as they cohere with a certain design framework. Furthermore, trolley cases seem to demand a moral answer when a political answer is called for. Finally, trolley cases might be epistemically problematic in several ways. (...) To put forward a positive proposal, we illustrate how ethical challenges arise from mundane driving situations. We argue that mundane situations are relevant because of the specificity they require and the scale they exhibit. We then illustrate some of the ethical challenges arising from optimizing for safety, balancing safety with other values such as mobility, and adjusting to incentives of legal frameworks. (shrink)

Future weapons will make life-or-death decisions without a human in the loop. When such weapons inflict unwarranted harm, no one appears to be responsible. There seems to be a responsibility gap. I first reconstruct the argument for such responsibility gaps to then argue that this argument is not sound. The argument assumes that commanders have no control over whether autonomous weapons inflict harm. I argue against this assumption. Although this investigation concerns a specific case of autonomous weapons systems, I take (...) steps towards vindicating the more general idea that superiors can be morally responsible in virtue of being in command. (shrink)

The advent of intelligent artificial systems has sparked a dispute about the question of who is responsible when such a system causes a harmful outcome. This paper champions the idea that this dispute should be approached as a conceptual engineering problem. Towards this claim, the paper first argues that the dispute about the responsibility gap problem is in part a conceptual dispute about the content of responsibility and related concepts. The paper then argues that the way forward is to evaluate (...) the conceptual choices we have, in the light of a systematic understanding of why the concept is important in the first place—in short, the way forward is to engage in conceptual engineering. The paper then illustrates what approaching the responsibility gap problem as a conceptual engineering problem looks like. It outlines argumentative pathways out of the responsibility gap problem and relates these to existing contributions to the dispute. (shrink)

This paper argues against the call to democratize artificial intelligence (AI). Several authors demand to reap purported benefits that rest in direct and broad participation: In the governance of AI, more people should be more involved in more decisions about AI—from development and design to deployment. This paper opposes this call. The paper presents five objections against broadening and deepening public participation in the governance of AI. The paper begins by reviewing the literature and carving out a set of claims (...) that are associated with the call to “democratize AI”. It then argues that such a democratization of AI (1) rests on weak grounds, because it does not answer to a demand of legitimization, (2) is redundant in that it overlaps with existing governance structures, (3) is resource intensive, which leads to injustices, (4) is morally myopic and thereby creates popular oversights and moral problems of its own, and finally, (5) is neither theoretically nor practically the right kind of response to the injustices that animate the call. The paper concludes by suggesting that AI should be democratized not by broadening and deepening participation but by increasing the democratic quality of the administrative and executive elements of collective decision making. In a slogan: The question is not so much whether AI should be democratized but how. (shrink)

The ongoing debate on the ethics of self-driving cars typically focuses on two approaches to answering such questions: moral philosophy and social science. I argue that these two approaches are both lacking. We should neither deduce answers from individual moral theories nor should we expect social science to give us complete answers. To supplement these approaches, we should turn to political philosophy. The issues we face are collective decisions that we make together rather than individual decisions we make in light (...) of what we each have reason to value. Political philosophy adds three basic concerns to our conceptual toolkit: reasonable pluralism, human agency, and legitimacy. These three concerns have so far been largely overlooked in the debate on the ethics of self-driving cars. (shrink)

The asylum system faces problems on two fronts. States undermine it with populist politics, and migrants use it to satisfy their migration preferences. To address these problems, asylum services should be commodified. States should be able to pay other states to provide determination and protection-elsewhere. In this article, I aim to identify a way of implementing this idea that is both feasible and desirable. First, I sketch a policy proposal for a commodification of asylum services. Then, I argue that this (...) policy proposal is not only compatible with the right to asylum, but also supported by moral considerations. Despite some undesirable moral features, a market in asylum facilitates the provision of asylum to those who need it. (shrink)

This paper is about the status of collective actions. According to one view, collective actions metaphysically reduce to individual actions because sentences about collective actions are merely a shorthand for sentences about individual actions. I reconstruct an argument for this view and show via counterexamples that it is not sound. The argument relies on a paraphrase procedure to unpack alleged shorthand sentences about collective actions into sentences about individual actions. I argue that the best paraphrase procedure that has been put (...) forward so far fails to produce adequate results. (shrink)

This chapter argues for a structural injustice approach to the governance of AI. Structural injustice has an analytical and an evaluative component. The analytical component consists of structural explanations that are well-known in the social sciences. The evaluative component is a theory of justice. Structural injustice is a powerful conceptual tool that allows researchers and practitioners to identify, articulate, and perhaps even anticipate, AI biases. The chapter begins with an example of racial bias in AI that arises from structural injustice. (...) The chapter then presents the concept of structural injustice as introduced by the philosopher Iris Marion Young. The chapter moreover argues that structural injustice is well suited as an approach to the governance of AI and compares this approach to alternative approaches that start from analyses of harms and benefits or from value statements. The chapter suggests that structural injustice provides methodological and normative foundations for the values and concerns of Diversity, Equity, and Inclusion. The chapter closes with an outlook onto the idea of “structure” and on responsibility. The idea of a structure is central to justice. An open theoretical research question is to what extent AI is itself part of the structure of society. Finally, the practice of responsibility is central to structural injustice. Even if they cannot be held responsible for the existence of structural injustice, every individual and every organization has some responsibility to address structural injustice going forward. (shrink)

This paper develops a taxonomy of kinds of actions that can be seen in group agency, human–machine interactions, and virtual realities. These kinds of actions are special in that they are not embodied in the ordinary sense. I begin by analysing the notion of embodiment into three separate assumptions that together comprise what I call the Embodiment View. Although this view may find support in paradigmatic cases of agency, I suggest that each of its assumptions can be relaxed. With each (...) assumption that is given up, a different kind of disembodied action becomes available. The taxonomy gives a systematic overview and suggests that disembodied actions have the same theoretical relevance as the actions of any ordinarily embodied human. (shrink)

Much of the debate on the ethics of self-driving cars has revolved around trolley scenarios. This paper instead takes up the political or institutional question of who should decide how a self-driving car drives. Specifically, this paper is on the question of whether and why passengers should be able to control how their car drives. The paper reviews existing arguments—those for passenger ethics settings and for mandatory ethics settings respectively—and argues that they fail. Although the arguments are not successful, they (...) serve as the basis to formulate desiderata that any approach to regulating the driving behavior of self-driving cars ought to fulfill. The paper then proposes one way of designing passenger ethics settings that meets these desiderata. (shrink)

We are responsible for some things but not for others. In this thesis, I investigate what it takes for an entity to be responsible for something. This question has two components: agents and actions. I argue for a permissive view about agents. Entities such as groups or artificially intelligent systems may be agents in the sense required for responsibility. With respect to actions, I argue for a causal view. The relation in virtue of which agents are responsible for actions is (...) a causal one. I claim that responsibility requires causation and I develop a causal account of agency. This account is particularly apt for addressing the relationship between agency and moral responsibility and sheds light on the causal foundations of moral responsibility. (shrink)

A central dispute in social ontology concerns the existence of group minds and actions. I argue that some authors in this dispute rely on rival views of existence without sufficiently acknowledging this divergence. I proceed in three steps in arguing for this claim. First, I define the phenomenon as an implicit higher-order disagreement by drawing on an analysis of verbal disputes. Second, I distinguish two theories of existence—the theory-commitments view and the truthmaker view—in both their eliminativist and their constructivist variants. (...) Third, I examine individual contributions to the dispute about the existence of group minds and actions to argue that these contributions have an implicit higher-order disagreement. This paper serves two purposes. First, it is a study to apply recent advances in meta-ontology. Second, it contributes to the debate on social ontology by illustrating how meta-ontology matters for social ontology. (shrink)

This chapter outlines a framework for thinking about justice in the global digital economy. The chapter first proposes to understand the digital economy as about infrastructure, then describes some of the problems of justice raised by the global digital economy and sketches potential reforms.

The disappearing agent problem is an argument in the metaphysics of agency. Proponents of the agent-causal approach argue that the rival event-causal approach fails to account for the fact that an agent is active. This paper examines an analogy between this disappearing agent problem and the exclusion problem in the metaphysics of mind. I develop the analogy between these two problems and survey existing solutions. I suggest that some solutions that have received significant attention in response to the exclusion problem (...) have seen considerably less attention in response to the disappearing agent problem. For example, one solution to the exclusion problem is to reject the exclusion assumption. Analogously, one solution to the disappearing agent problem could be to deny the claim that the agent-causal approach and the event-causal approach are mutually exclusive. Similarly, proportionality theories of causation, a solution to the exclusion problem, can be transferred to the disappearing agent problem. After establishing the plausibility of the analogy between the two problems, I examine how this latter solution in particular can be transferred from the one problem to the other. (shrink)

This paper is on the problem of profligate omissions. The problem is that counterfactual definitions of causation identify as a cause anything that could have prevented an effect but that did not actually occur, which is a highly counterintuitive result. Many solutions of this problem appeal to normative, epistemic, pragmatic, or metaphysical considerations. These existing solutions are in some sense substantive. In contrast, this paper concentrates on the semantics of counterfactuals. I propose to replace Strong Centering with Weak Centering. This (...) allows that the actual world is not the only world that is closest to the actual world. As a result, some counterfactuals that would otherwise have been true, turn out to be false. When these counterfactuals concern causation, fewer causal claims are true. In addition to describing steps towards solving the problem of profligate omissions, the proposal captures an abstraction that is shared by many of the existing solutions: depending on how the distance ordering underlying the Weak Centering condition is constructed and interpreted, some of these existing solutions can be recovered. (shrink)

Hierarchical groups shape social, political, and personal life. This paper concerns the question of how individuals within such groups can be responsible. The paper explores how individual responsibility can be partially grounded in difference-making. The paper concentrates on the control condition of responsibility and takes into view three distinct phenomena of responsibility in hierarchical groups. First, a superior can be responsible for outcomes that her subordinates bring about. Second, a subordinate can be responsible although she is unable to prevent the (...) outcome she brings about. Third, a superior can sometimes be responsible to a greater degree than her subordinates. It is argued that difference-making, as an interpretation of the control condition that partially grounds responsibility, accounts for all three of these phenomena within a limited but significant range of circumstances and can hence partially ground individual moral responsibility in hierarchical groups. The paper provides an element of a theory of individual responsibility to complement theories of corporate responsibility. (shrink)

Punishing groups raises a difficult question, namely, how their punishment can be justified at all. Some have argued that punishing groups is morally problematic because of the effects that the punishment entails for their members. In this paper we argue against this view. We distinguish the question of internal justice—how punishment-effects are distributed—from the question of external justice—whether the punishment is justified. We argue that issues of internal justice do not in general undermine the permissibility of punishment. We also defend (...) the permissibility of what some call “random punishment.” We argue that, for some kinds of collectives, there is no general obligation to internally distribute the punishment-effects equally or in proportion to individual contribution. (shrink)

As the capabilities of Artificial Intelligence (AI) have increased over recent years, so have the challenges of how to govern its usage. Consequently, prominent stakeholders across academia, government, industry, and civil society have called for states to devise and deploy principles, innovative policies, and best practices to regulate and oversee these increasingly powerful AI tools. Developing a robust AI governance system requires extensive collective efforts throughout the world. It also raises old questions of politics, democracy, and administration, but with the (...) new challenges posed by AI's growing influence on markets, governing structures, international relations, healthcare, science, and political activism. The Oxford Handbook of AI Governance delineates the scope of these issues and addresses the key questions of AI governance. Across forty-nine chapters, organized in nine major sections, the Handbook covers the theoretical and ethical foundations of AI governance, different frameworks for developing a governance structure for AI, practical perspectives on AI governance in different policy domains, economic analyses of AI governance, and concrete lessons about the impact of AI governance domestically and internationally. Chapter authors come from a wide set of disciplines, areas of study, and cultural backgrounds, providing a global perspective on AI governance. (shrink)