Philosophical work on science and values has come to engage with the concerns of society and of stakeholders affected by science and policy, leading to socially relevant philosophy of science and socially engaged philosophy of science. This special issue showcases instances of socially relevant philosophy of science, featuring contributions on a diversity of topics by Janet Kourany, Andrew Schroeder, Alison Wylie, Kristen Intemann, Joyce Havstad, Justin Biddle, Kevin Elliott, and Ingo Brigandt.

Both scientists and philosophers of science have recently emphasized the importance of promoting transparency in science. For scientists, transparency is a way to promote reproducibility, progress, and trust in research. For philosophers of science, transparency can help address the value-ladenness of scientific research in a responsible way. Nevertheless, the concept of transparency is a complex one. Scientists can be transparent about many different things, for many different reasons, on behalf of many different stakeholders. This paper proposes a taxonomy that clarifies (...) the major dimensions along which approaches to transparency can vary. By doing so, it provides several insights that philosophers and other science studies scholars can pursue. In particular, it helps address common objections to pursuing transparency in science, it clarifies major forms of transparency, and it suggests avenues for further research on this topic. (shrink)

Philosophers and social scientists largely agree that fake news is not just necessarily untruthful, but necessarily insincere: it’s produced either with the intention to deceive or an indifference toward its truth. Against this, I argue insincerity is neither a necessary nor obviously typical feature of fake news. The main argument proceeds in two stages. The first, methodological step develops classification criteria for identifying instances of fake news. By attending to expressed theoretical and practical interests, I observe how our classification practices (...) turn on worries about fake news’s unique political-epistemic risks. From this, I argue (i) theories of fake news should capture independent mechanisms that realise these risks and (ii) the manifestation of them suffices for classifying a news story as fake news. The second step applies the classification criteria to bad science journalism. I argue the systematic epistemic faults in bad science journalism manifest the same political-epistemic risks we see in fake news, which suffices to justify classifying it as fake news. But since such faults aren’t plausibly attributed to its propagators being insincere, insincerity doesn’t function independently as a mechanism for realising fake news’s political-epistemic risks. Thus, I conclude, we should exclude insincerity from our accounts of the phenomenon. (shrink)

Clinical researchers should help respect the autonomy and promote the well-being of prospective study participants by helping them make voluntary, informed decisions about enrollment. However, participants often exhibit poor understanding of important information about clinical research. Bioethicists have given special attention to “misconceptions” about clinical research that can compromise participants’ decision-making, most notably the “therapeutic misconception.” These misconceptions typically involve false beliefs about a study’s purpose, or risks or potential benefits for participants. In this article, we describe a misconception involving (...) false beliefs about a study’s potential benefits for non-participants, or its expected social value. This social value misconception can compromise altruistically motivated participants’ decision-making, potentially threatening their autonomy and well-being. We show how the social value misconception raises ethical concerns for inherently low-value research, hyped research, and even ordinary research, and advocate for empirical and normative work to help understand and counteract this misconception’s potential negative impacts on participants. (shrink)

Many philosophers hold that generics (i.e., unquantified generalizations) are pervasive in communication and that when they are about social groups, this may offend and polarize people because generics gloss over variations between individuals. Generics about social groups might be particularly common on Twitter (X). This remains unexplored, however. Using machine learning (ML) techniques, we therefore developed an automatic classifier for social generics, applied it to 1.1 million tweets about people, and analyzed the tweets. While it is often suggested that generics (...) are ubiquitous in everyday communication, we found that most tweets (78%) about people contained no generics. However, tweets with generics received more “likes” and retweets. Furthermore, while recent psychological research may lead to the prediction that tweets with generics about political groups are more common than tweets with generics about ethnic groups, we found the opposite. However, consistent with recent claims that political animosity is less constrained by social norms than animosity against gender and ethnic groups, negative tweets with generics about political groups were significantly more prevalent and retweeted than negative tweets about ethnic groups. Our study provides the first ML-based insights into the use and impact of social generics on Twitter. (shrink)

This paper develops an account of how the implementation of ML models into healthcare settings requires revising the methodological apparatus of philosophical bioethics. On this account, ML models are cognitive interventions that provide decision-support to physicians and patients. Due to reliability issues, opaque reasoning processes, and information asymmetries, ML models pose inferential problems for them. These inferential problems lay the grounds for many ethical problems that currently claim centre-stage in the bioethical debate. Accordingly, this paper argues that the best way (...) to make progress in remedying these ethical problems is to distil their epistemic core and to identify appropriate epistemic norms as guardrails. The viability of this approach will be highlighted based on four key issues: trust, responsibility, paternalism, and fairness. In that respect, the paper also contributes to a more pronounced view of the specific methodological challenges for ethical theorizing, when the point of reference are complex statistical models that make predictions, rather than individual agents, acting for reasons. (shrink)

Philosophers of science, particularly those working on science and values, often talk about the need for science to be socially responsible. However, what this means is not clear. In this paper, we review the contributions of philosophers of science to the debate over socially responsible science and explore the dimensions that a fruitful account of socially responsible science should address. Our review shows that offering a comprehensive account is difficult. We contend that broad calls for socially responsible science that fail (...) to attend to relevant dimensions are not the solution, as they preclude meaningful changes to research institutions and practices. We conclude that narrower, more explicit accounts are more likely to lead to substantive transformation. (shrink)

The concept of moralisation of health behaviours was introduced in social psychology to describe the attribution of moral properties to habits and conditions like smoking or being a vegetarian. Moral properties are powerful motivators for people and institutions, as they may trigger blame, stigma, and appraisal, as well as the polarisation of interest and scientific hype. Here I extend the concept and illustrate how medicines and treatments can be seen as if they had moral properties, too, when they come to (...) be regarded as good or bad in the moral sense, and not just in the instrumental sense of benefiting or harming health. I propose the hydroxychloroquine (HCQ) controversy of 2020 as an example of moralisation of a medicine. HCQ and chloroquine are anti-malarial drugs, whose off-label use for Covid-19 was hotly discussed in the early months of the pandemic, both in the media and within the scientific community, and eventually dismissed when robust evidence came out. The point of the paper is to show that moralisation of health products and treatments may influence individual and institutional decisions in significant ways, and also affect research. For these reasons, it should be carefully monitored and critically assessed. (shrink)

More than a decade of exacting scientific research involving paleontological fragments and ancient DNA has lately produced a series of pronouncements about a purportedly novel population of archaic hominins dubbed “the Denisova.” The science involved in these matters is both technically stunning and, socially, at times a bit reckless. Here I discuss the responsibilities which scientists incur when they make inductively risky pronouncements about the different relative contributions by Denisovans to genomes of members of apparent subpopulations of current humans. This (...) science is sensational: it is science which empirically speculates, to the public delight’s and entertainment, about scintillating topics such as when humans evolved, where we came from, and who else we were having sex with during our early hominin history. An initial characterization of sensational science emerges from my discussion of the case, as well as a diagnosis of an interactive phenomenon termed amplified inductive risk. (shrink)

A wealth of literature and best practices on Responsible Research and Innovation (RRI) document how it can be implemented in projects. However, each project is too specific to simply replicate existing patterns. Especially in early projects with a high degree of uncertainty, where indicators and measures cannot be applied, the so-called provenance assessment as a methodological change of perspective makes it possible to assess the procedural quality of research by means of narratives. A clear picture of the challenges for European (...) bio-economy projects is sought by mapping the broader debate on "RRI in practice" in the context of biotechnology. The SUSPHIRE project is used as a case study to show how project-specific narratives integrate and signify RRI. By unpacking various concepts of "responsibility" that are already present in the project narrative at an early stage, I will show how this assessment differs significantly from other attempts to "do RRI". It is precisely in the absence of other criteria that the assessment of provenance can bring to the fore the specific form(s) of responsibility inherent in the development of projects. (shrink)