Michael Klenk

This chapter discusses methodology in epistemology. It argues that settling the facts, even the epistemic facts, fails to settle the questions of intellectual policy at the centre of our epistemic lives. One upshot is that the standard methodology of analysing concepts like knowledge, justification, rationality, and so on is misconceived. More generally, any epistemic method that seeks to issue in intellectual policy by settling the facts, whether by way of abductive theorizing or empirical investigation, no matter how reliable, is inapt. The argument is a radicalization of Moore’s open-question argument. In conclusion, the ramifications of this argument for the debate surrounding modal security, a proposed necessary condition on undermining defeat, are considered.

Trash-talking holds a contested place in sport, sometimes celebrated for its entertainment value yet often condemned for undermining respect and sportsmanship. This chapter examines trash-talking through the lens of the ethics of influence, situating it between impermissible conduct such as cheating and unproblematic expression such as playful banter. The chapter first clarifies what counts as trash talk and gives examples of its diverse forms. Then it evaluates its moral status. Existing views are critically assessed. The chapter advances an alternative account that frames trash-talking as a form of manipulation, morally troubling insofar as it is simply indifferent to the revealing of reasons. This perspective reveals the practice as ethically troubling and illustrative of the moral tensions at the heart of competitive sport.

This chapter provides a theoretical lens on conceptual disruption. It offers a typology of conceptual disruption, discusses its relation to conceptual engineering, and sketches a programmatic view of the implications of conceptual disruption for the ethics of technology. We begin by distinguishing between three different kinds of conceptual disruptions: conceptual gaps, conceptual overlaps, and conceptual misalignments. Subsequently, we distinguish between different mechanisms of conceptual disruption, and two modes of conceptual change. We point out that disruptions may be induced by technology, but can also be triggered by intercultural exchanges. Conceptual disruptions frequently yield conceptual uncertainty and may call for conceptual and ethical inquiry. We argue that a useful approach to address conceptual disruptions is to engage in conceptual engineering. We outline what conceptual engineering involves and argue that discussions on conceptual disruption and conceptual engineering can benefit from closer integration. In closing, we discuss the relevance of studying conceptual disruption for technology ethics, and point to the promise of this line of research to innovate practical philosophy at large.

Moral disagreement is often thought to be of great metaethical significance for moral realists. I explore what remains of that significance when we look at moral disagreement through the lens of a combination of two influential and independently plausible hypotheses about moral language. The Morality-As-Cooperation (MAC) hypothesis says that our capacity for and use of moral language is an adaptation to increase mutualistic cooperation. The Concepts-As-Tools (CAT) hypothesis says that we often engage in disputes about language use and that many apparent moral disagreements are linguistic disagreements in disguise. The combined MAC-CAT view that I explore suggests that we frequently engage in linguistic disputes to find optimal means for mutualistic cooperation. I show that this perspective weakens sceptical claims based on moral disagreements, that is offers a novel way for moral realists to explain the apparent genuineness of moral disagreements without the need to accept theses borrowed from non-cognitivism.

Franke, in Philosophy & Technology, 37(1), 1–6, (2024), connects the recent debate about manipulative algorithmic transparency with the concerns about problematic pursuits of positive liberty. I argue that the indifference view of manipulative transparency is not aligned with positive liberty, contrary to Franke’s claim, and even if it is, it is not aligned with the risk that many have attributed to pursuits of positive liberty. Moreover, I suggest that Franke’s worry may generalise beyond the manipulative transparency debate to AI ethics in general.

Generative AI enables automated, effective manipulation at scale. Despite the growing general ethical discussion around generative AI, the specific manipulation risks remain inadequately investigated. This article outlines essential inquiries encompassing conceptual, empirical, and design dimensions of manipulation, pivotal for comprehending and curbing manipulation risks. By highlighting these questions, the article underscores the necessity of an appropriate conceptualisation of manipulation to ensure the responsible development of Generative AI technologies.

A series of recent papers raises worries about the manipulative potential of algorithmic transparency (to wit, making visible the factors that influence an algorithm’s output). But while the concern is apt and relevant, it is based on a fraught understanding of manipulation. Therefore, this paper draws attention to the ‘indifference view’ of manipulation, which explains better than the ‘vulnerability view’ why algorithmic transparency has manipulative potential. The paper also raises pertinent research questions for future studies of manipulation in the context of algorithmic transparency.

Artificial Intelligence (AI) is increasingly adopted in society, creating numerous opportunities but at the same time posing ethical challenges. Many of these are familiar, such as issues of fairness, responsibility and privacy, but are presented in a new and challenging guise due to our limited ability to steer and predict the outputs of AI systems. This chapter first introduces these ethical challenges, stressing that overviews of values are a good starting point but frequently fail to suffice due to the context sensitivity of ethical challenges. Frequently, additional (ethical) values emerge for specific applications, as e.g. challenges with fraud detection are very different from those around language technologies. Second, methods to tackle these challenges are discussed. Main ethical theories (virtue ethics, consequentialism, and deontology) are shown to provide a starting point, but often lack the details needed for actionable AI Ethics. Instead, mid-level philosophical theories coupled to design-approaches such as Design for Values, together with interdisciplinary working methods, offer the best way forwards. The chapter aims to show how these approaches can lead to an ethics of AI that is actionable and that can be proactively integrated in the design of AI systems.

We examine whether Thomsonian constitutivism, a metaethical view that analyses value in terms of ‘goodness-fixing kinds,’ i.e. kinds that themselves set the standards for being a good instance of the respective kind, offers a satisfactory explanation of value change and disagreement. While value disagreement has long been considered an important explanandum, we introduce value change as a closely related but distinct phenomenon of metaethical interest. We argue that constitutivism fails to explain both phenomena because of its commitment to goodness-fixing kinds. Constitutivism explains away disagreement and at best explains the emergence of new values, not genuine change. Therefore, Thomsonian constitutivism is not a good fix for realist problems with explaining value disagreement, and value change.

Most non-robust-realist metaethical theories, such as expressivism, constructivism, and non-robust forms of realism, claim to retain a sense of objectivity in ethics. A persistent issue for these theories is to identify an objective criterion for moral truth that meets their objectivist aspiration. Objectivist aspirations are often probed by confronting non-realists with abject normative positions, such as those of rational racists, which are licensed by the framework of the respective non-realist theory but nevertheless strike us a wrong. In such cases, non-realist theories face a dilemma. Either they allow that anything goes and thereby forgo their objectivist aspirations or they disallow abject normative positions. In the latter case, however, they have nothing to turn to but subjective criteria ultimately related to one’s personal outlook. This is unacceptably smug. I argue that pragmatism in the spirit of Charles S. Peirce partially solves this dilemma. True belief would withstand experience and argument were we to inquire as far as we fruitfully could on the matter. I elucidate this notion and argue that pragmatist construal of moral truth provides a substantive, objective criterion to determine the truth value of moral claims, without recourse to subjective criteria. This puts pragmatism ahead of rival non-realist theories.

The power of technology to transform religions, science, and political institutions has often been presented as nothing short of revolutionary. Does technology have a similarly transformative influence on societies’ morality? Scholars have not rigorously investigated the role of technology in moral revolutions, even though existing research on technomoral change suggests that this role may be considerable. In this paper, we explore what the role of technology in moral revolutions, understood as processes of radical group-level moral change, amounts to. We do so by investigating four historical episodes of radical moral change in which technology plays a noteworthy role. Our case-studies illustrate the plurality of mechanisms involved in technomoral revolutions, but also suggest general patterns of technomoral change, such as technology’s capacity to stabilize and destabilize moral systems, and to make morally salient phenomena visible or invisible. We find several leads to expand and refine conceptual tools for analysing moral change, specifically by crystallizing the notions of ‘technomoral niche construction’ and ‘moral payoff mechanisms’. Coming to terms with the role of technology in radical moral change, we argue, enriches our understanding of moral revolutions, and alerts us to the depths of which technology can change our societies in wanted and unwanted ways.

This chapter defends the view that manipulated behaviour is explained by an injustice. Injustices that explain manipulated behaviour need not involve agential features such as intentionality. Therefore, technology can manipulate us, even if technological artefacts like robots, intelligent software agents, or other ‘mere tools’ lack agential features such as intentionality. The chapter thus sketches a comprehensive account of manipulated behaviour related to but distinct from existing accounts of manipulative behaviour. It then builds on that account to defend the possibility that we are being manipulated by technology.

Are we being manipulated online? If so, is being manipulated by online technologies and algorithmic systems notably different from human forms of manipulation? And what is under threat exactly when people are manipulated online? This volume provides philosophical and conceptual depth to debates in digital ethics about online manipulation. The contributions explore the ramifications of our increasingly consequential interactions with online technologies such as online recommender systems, social media, user-friendly design, micro-targeting, default-settings, gamification, and real-time profiling. The authors in this volume address four broad and interconnected themes: • What is the conceptual nature of online manipulation? And how, methodologically, should the concept be defined? • Does online manipulation threaten autonomy, freedom, and meaning in life, and if so, how? • What are the epistemic, affective, and political harms and risks associated with online manipulation? • What are legal and regulatory perspectives on online manipulation? The Philosophy of Online Manipulation brings these various considerations together to offer philosophically robust answers to critical questions concerning our online interactions with one another and with autonomous systems. It will be of interest to researchers and advanced students working in moral philosophy, digital ethics, philosophy of technology, and the ethics of manipulation.

In the last few decades, several philosophers have written on the topic of moral revolutions, distinguishing them from other kinds of society-level moral change. This article surveys recent accounts of moral revolutions in moral philosophy. Different authors use quite different criteria to pick out moral revolutions. Features treated as relevant include radicality, depth or fundamentality, pervasiveness, novelty and particular causes. We also characterize the factors that have been proposed to cause moral revolutions, including anomalies in existing moral codes, changing honour codes, art, economic conditions and individuals or groups. Finally, we discuss what accounts of moral revolutions have in common, how they differ and how moral revolutions are distinguished from other kinds of moral change, such as drift and reform.

Moral luck occurs when factors beyond an agent’s control affect her blameworthiness. Several scholars deny the existence of moral luck by distinguishing judging blameworthy from blame-related practices. Luck does not affect an agent’s blameworthiness because morality is conceptually fair, but it can affect the appropriate degree of blame for that agent. While separatism resolves the paradox of moral luck, we aim to show it that it needs amendment, because it is unfair to treat two equally blameworthy people unequally. We argue that separatists should conceive fairness as a pro tanto reason for blame. By locating fairness as a ground for blame within a wider axiology of blame, separatism could resolve the challenge of blaming fairly. In such an axiology, reasonable and fair blame diverge.

We propose a fundamental challenge to the feasibility of moral progress: most extant theories of progress, we will argue, assume an unrealistic level of cognitive control people must have over their moral judgments for moral progress to occur. Moral progress depends at least in part on the possibility of individual people improving their moral cognition to eliminate the pernicious influence of various epistemically defective biases and other distorting factors. Since the degree of control people can exert over their moral cognition tends to be significantly overestimated, the prospects of moral progress face a formidable problem, the force of which has thus far been underappreciated. In the paper, we will provide both conceptual and empirical arguments for this thesis, and explain its most important implications.

This article argues that manipulation is negligent influence. Manipulation is negligent in the sense that manipulators do not chose their method of influence because for its potential to reveal reasons to their victims. Thus, manipulation is a lack of care, or negligence, exclusively understood exclusively in terms of how one influences. That makes the proposed account superior to the most influential alternative, which analyses manipulation disjunctively as violation of several distinct types of norms. The implication is a paradigm shift in understanding manipulation in terms of what manipulators intend to do toward a focus on what they fail to do or intend.

The standard way to test alternative descriptive theories of moral judgment is by asking subjects to evaluate (amongst others) sacrificial dilemmas, where acting classifies as a utilitarian moral judgment and not acting classifies as a deontological moral judgment. Previous research uncovered many situational factors that alter subject’s moral judgments without affecting which type of action utilitarianism or deontology would recommend. This literature review provides a systematic analysis of the experimental literature on the influence of situational factors on moral judgments in sacrificial dilemmas. It analyses 53 articles in detail and reports mean effect sizes, as well as operationalizations, for 36 situational factors that significantly influence moral judgment. Moreover, the review discusses how the impact of situational factors relates to a dual process theory of moral judgment. It supports the view that utilitarian judgments are driven by controlled cognitive processes and shows that the drivers of deontological judgments depend on valence.

Ever-increasing numbers of human interactions with intelligent software agents, online and offline, and their increasing ability to influence humans have prompted a surge in attention toward the concept of (online) manipulation. Several scholars have argued that manipulative influence is always hidden. But manipulation is sometimes overt, and when this is acknowledged the distinction between manipulation and other forms of social influence becomes problematic. Therefore, we need a better conceptualisation of manipulation that allows it to be overt and yet clearly distinct from related concepts of social influence. I argue that manipulation is careless influence, show how this account helps to alleviate the shortcomings of the hidden influence view of manipulation, and derive implications for digital ethics.

Several anti-debunkers have argued that evolutionary explanations of our moral beliefs fail to meet a necessary condition on undermining defeat called modal security. They conclude that evolution, therefore, does not debunk our moral beliefs. This article shows that modal security is false if knowledge is virtuous achievement. New information can undermine a given belief without providing reason to doubt that that belief is sensitive or safe. This leads to a novel conception of undermining defeat, and it shows that successful debunking of moral realism is possible.

What is the significance of empirical moral psychology for metaethics? In this article we take up Michael Ruse’s evolutionary debunking argument against moral realism and reassess it in the context of the empirical state of the art. Ruse’s argument depends on the phenomenological presumption that people generally experience morality as objective. We demonstrate how recent experimental findings challenge this widely-shared armchair presumption and conclude that Ruse’s argument fails. We situate this finding in the recent debate about Carnapian explication and argue that it illustrates the necessary role that empirical moral psychology plays in explication preparation. Moral psychology sets boundaries for reasonable desiderata in metaethics and, therefore, it is necessary for metaethics.

A prominent view in contemporary philosophy of technology suggests that more technology implies more possibilities and, therefore, more responsibilities. Consequently, the question ‘What technology?’ is discussed primarily on the backdrop of assessing, assigning, and avoiding technology-borne culpability. The view is reminiscent of the Olympian gods’ vengeful and harsh reaction to Prometheus’ play with fire. However, the Olympian view leaves unexplained how technologies increase possibilities. Also, if Olympians are right, endorsing their view will at some point demand putting a halt to technological development, which is absurd. Hence, we defend an alternative perspective on the relationship between responsibility and technology: Our Promethean view recognises technology as the result of collective, forward-looking responsibility and not only as a cause thereof. Several examples illustrate that technologies are not always the right means to tackle human vulnerabilities. Together, these arguments prompt a change in focus from the question ‘What technology?’ to ‘Why technology?’

Digital tracing technologies are heralded as an effective way of containing SARS-CoV-2 faster than it is spreading, thereby allowing the possibility of easing draconic measures of population-wide quarantine. But existing technological proposals risk addressing the wrong problem. The proper objective is not solely to maximise the ratio of people freed from quarantine but to also ensure that the composition of the freed group is fair. We identify several factors that pose a risk for fair group composition along with an analysis of general lessons for a philosophy of technology. Policymakers, epidemiologists, and developers can use these risk factors to benchmark proposal technologies, curb the pandemic, and keep public trust.

Empirical moral psychology is sometimes dismissed as normatively insignificant because it plays no decisive role in settling ethical disputes. But that conclusion, even if it is valid for normative ethics, does not extend to bioethics. First, in contrast to normative ethics, bioethics can legitimately proceed from a presupposed moral framework. Within that framework, moral psychology can be shown to play four significant roles: it can improve bioethicists’ understanding of the decision situation, the origin and legitimacy of their moral concepts, efficient options for implementing decisions, and how to change and improve some parts of their moral framework. Second, metaethical considerations suggest that moral psychology may lead to the radical revision of entire moral frameworks and thus prompt the radical revision of entire moral frameworks in bioethics. However, I show that bioethics must either relinquish these radical implications of moral psychology and accept that there are limits to progress in bioethics based on moral psychology or establish an epistemic framework that guides radical revision.

Current academic philosophy is being challenged from several angles. Subdisciplinary specialisations often make it challenging to articulate philosophy’s relevance for the societal questions of our day. Additionally, the success of the ‘scientific method’ puts pressure on philosophers to articulate their methods and specify how these can be successful. How does philosophical progress come about? What can philosophy contribute to our understanding of today’s world? Moreover, can it also contribute to resolving urgent societal challenges, such as anthropogenic climate change? This edited volume evaluates the place of philosophy in the age of science. It addresses three related sub-themes: philosophical progress, philosophical method and philosophy’s societal relevance. Fourteen authors engage with these sub-themes, focusing on the topics of their philosophical expertise, such as the philosophy of religion, evolutionary ethics and the nature of free will. In doing so, they explore their methods of enquiry, and look at how progress in their research comes about.

I stipulate that an academic discipline is societally relevant insofar as it helps to resolve a society’s real problems. What makes such a view correct depends on meta-normative views. I show how one’s meta-normative view significantly determines the likelihood that disciplinary philosophy is of societal relevance. On normative non-naturalism, normative naturalism, and normative scepticism, the societal relevance of philosophy is in doubt. I then argue that philosophers should aim for two remedies. They should be what I call omnivores and 'synthesisers, aiming for empirically sound knowledge and interdisciplinary integration to achieve societal relevance independently of the correct meta-normative view.