Michael Klenk

Thomas Pölzler’s book offers the first detailed study that focuses explicitly on the promise of science-based arguments for and against moral realism (of both the natural and non-natural kind). His two central claims are that sound arguments bearing on the realism/anti-realism debate are possible, and, yet, that four central attempts to derive metaethical conclusions from science-based arguments uniformly fail. The book then provides several recommendations for future science-based contributions to the realism/anti-realism debate to do better. The book is a valuable and thought-provoking contribution to experimental metaethics and, in particular, to debates surrounding experimental studies of folk-moral realism, where it provides an insightful and handy guide to the field. In what follows, I briefly lay out the book’s main arguments, focusing on Pölzler’s assessment of existing science-based arguments, along with some critical remarks, before providing a broader evaluation.

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.

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.

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.

Evidence from biology and psychology suggests that our moral views depend on our evolutionary history. For example, if we humans would have evolved to live like hive bees, we would probably think very differently about moral questions such as whether we have a duty to care for our children. The findings from biology and psychology threaten to ‘debunk’ the justification of judgements about objective moral truths. Objective moral truths are always the same and they do not vary with our contingent evolutionary history, whereas our moral judgements do. It has been argued that we, therefore, cannot tell right from wrong. In my thesis, I investigate the epistemology behind the evolutionary debunking of morality. Evolutionary explanations of morality, I argue, do not imply that our moral judgements are false. This leaves the possibility that evolution undercuts our (alleged) evidence for our moral judgements. Our evolutionarily influenced moral judgements might turn out to be unreliable guides to the moral truth, just like sight is a lousy guide to the external world in bad lighting conditions. However, I show that as long as we have reason to initially trust our moral beliefs, evolution does not provide us with reason to give up our moral beliefs. If evolution undercuts our moral beliefs, evolutionary considerations must show that true moral judgements do not qualify as knowledge because moral judgements are not cognitive achievements but comparable to lucky guesses. The thesis thus answers how empirical investigations of morality might have justificatory implications and the findings are relevant for deciding whether new factual information can alter how we think about right and wrong.

If you put chimpanzees from different communities together you can expect mayhem - they are not keen on treating each other nicely. There is closely related species of apes, however, whose members have countless encounters with unrelated specimen on a daily basis and yet almost all get through the day in one piece - that species is us, homo sapiens. But what makes us get along, most of the time? Morality as such is, perhaps surprisingly, not a mainstream research topic in social psychology. Most textbooks in the field do not even mention the term morality at all (and focus on 'prosociality' instead). This relative lack of 'coverage' might have to do with the difficulty of operationalising 'morality' in a fitting way (more on this below). However, morality certainly is a social phenomenon and therefore the collection of Fargas, Jussim, and Van Lange is certainly a step in the right direction; it offers an extensive overview of the field and is suggestive of the vast potential of studying morality through the lens of social psychology.

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.

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.

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.

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.

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.