Many ethical frameworks require artificial intelligence (AI) systems to be explainable. Explainable AI (XAI) models are frequently tested for their adequacy in user studies. Since different people may have different explanatory needs, it is important that participant samples in user studies are large enough to represent the target population to enable generalizations. However, it is unclear to what extent XAI researchers reflect on and justify their sample sizes or avoid broad generalizations across people. We analyzed XAI user studies (N = (...) 220) published between 2012 and 2022. Most studies did not offer rationales for their sample sizes. Moreover, most papers generalized their conclusions beyond their target population, and there was no evidence that broader conclusions in quantitative studies were correlated with larger samples. These methodological problems can impede evaluations of whether XAI systems implement the explainability called for in ethical frameworks. We outline principles for more inclusive XAI user studies. (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)

Can AI developers be held epistemically responsible for the processing of their AI systems when these systems are epistemically opaque? And can explainable AI (XAI) provide public justificatory reasons for opaque AI systems’ outputs? Koskinen (2024) gives negative answers to both questions. Here, I respond to her and argue for affirmative answers. More generally, I suggest that when considering people’s uncertainty about the factors causally determining an opaque AI’s output, it might be worth keeping in mind that a degree of (...) uncertainty about conclusions is inevitable even in entirely human-based empirical science because in induction there’s always a risk of getting it wrong. Keeping this in mind may help appreciate that requiring full transparency from AI systems before epistemically trusting their outputs might be unusually (and potentially overly) demanding. (shrink)

According to a major trend in Hegel scholarship, Hegel advocates a McDowell-style transformativist conception of the human mind. Central to this conception is a methodological dualism, according to which phenomena belonging to the rational mind, in contrast to those belonging to non-rational nature, must be accounted for from within the ‘space of reasons.’ In this paper I argue, by contrast, that Hegel rejects methodological dualism. For Hegel, a constitutive aspect of the rational mind is the activity of expression. I show (...) how Hegel’s philosophy of mind adequately accounts for low-level forms of expressivity without appealing to capacities connected to conceptual thought and judgment, and that he does so by drawing on methods similar to those employed within the empirical sciences of his time. Thus, for Hegel, the sphere of the rational mind is broader than the McDowellian space of reasons. (shrink)

This article is concerned with developing a philosophical approach to a number of significant changes to academic publishing, and specifically the global journal knowledge system wrought by a range of new digital technologies that herald the third age of the journal as an electronic, interactive and mixed-media form of scientific communication. The paper emerges from an Editors' Collective, a small New Zealand-based organisation comprised of editors and reviewers of academic journals mostly in the fields of education and philosophy. The paper (...) is the result of a collective writing process. (shrink)

Michael A. Petersa and Fazal Rizvib aBeijing Normal University, Beijing, PR China; bMelbourne University, Melbourne, Australia Our minds are still racing back and forth, longing for a return to ‘no...

Some artificial intelligence systems can display algorithmic bias, i.e. they may produce outputs that unfairly discriminate against people based on their social identity. Much research on this topic focuses on algorithmic bias that disadvantages people based on their gender or racial identity. The related ethical problems are significant and well known. Algorithmic bias against other aspects of people’s social identity, for instance, their political orientation, remains largely unexplored. This paper argues that algorithmic bias against people’s political orientation can arise in (...) some of the same ways in which algorithmic gender and racial biases emerge. However, it differs importantly from them because there are strong social norms against gender and racial biases. This does not hold to the same extent for political biases. Political biases can thus more powerfully influence people, which increases the chances that these biases become embedded in algorithms and makes algorithmic political biases harder to detect and eradicate than gender and racial biases even though they all can produce similar harm. Since some algorithms can now also easily identify people’s political orientations against their will, these problems are exacerbated. Algorithmic political bias thus raises substantial and distinctive risks that the AI community should be aware of and examine. (shrink)

This paper focusses on our concerns about revelations about sexual harassment in universities and the inadequate responses whereby some universities seem more concerned about their own reputations than the care and protection of their students. Seldom do cases go to criminal court, instead they mostly fall within employment relations policies where the use of non-disclosure agreements are double edged, such that some perpetrators remain nameless even if the person offended against wants details made public. Of course if the staff member (...) does not resign or take retirement prior to potential dismissal, but remains in the institution, the grapevine still works. Universities too often become complicit in cover-ups at the expense of further potential victims of sexual misconduct. It has been with much dismay that we found that despite extensive training and writing about ethics some senior professors in philosophy fields have been accused and found wanting, disabusing us of the virtue assumption. Despite these recent instances where perpetrators have been named and been publicised in the media, we found that this is not in fact new, so not only does the paper look to the past, but also extensively it uses contemporary accounts, reports and documents from USA, UK, South America, Australia, and New Zealand. These seem to be the tip of the iceberg, so our hope is that all students and staff in universities (and in fact all institutions where there are inherent power imbalances) will not only feel safe, but that they will be safe as universities become genuinely ethical institutions. (shrink)

When scientists or science reporters communicate research results to the public, this often involves ethical and epistemic risks. One such risk arises when scientific claims cause cognitive or behavioural changes in the audience that contribute to the self-fulfilment of these claims. I argue that the ethical and epistemic problems that such self-fulfilment effects may pose are much broader and more common than hitherto appreciated. Moreover, these problems are often due to a specific psychological phenomenon that has been neglected in the (...) research on science communication: many people tend to conform to ‘descriptive norms’, that is, norms capturing (perceptions of) what others commonly do, think, or feel. Because of this tendency, science communication may frequently produce significant social harm. I contend that scientists have a responsibility to assess the risk of this potential harm and consider adopting strategies to mitigate it. I introduce one such strategy and argue that its implementation is independently well motivated by the fact that it helps improve scientific accuracy. (shrink)

Selective scientific realists disagree on which theoretical posits should be regarded as essential to the empirical success of a scientific theory. A satisfactory account of essentialness will show that the (approximate) truth of the selected posits adequately explains the success of the theory. Therefore, (a) the essential elements must be discernible prospectively; (b) there cannot be a priori criteria regarding which type of posit is essential; and (c) the overall success of a theory, or ‘cluster’ of propositions, not only individual (...) derivations, should be explicable. Given these desiderata, I propose a “unification criterion” for identifying essential elements. (shrink)

Open Peer Review: Educational Philosophy and Theory (EPAT)Michael A. Peters, Beijing Normal University, PR ChinaIn 2016 EPAT started experimenting with open peer review for articles that were part...

In the philosophy of science, it is a common proposal that values are illegitimate in science and should be counteracted whenever they drive inquiry to the confirmation of predetermined conclusions. Drawing on recent cognitive scientific research on human reasoning and confirmation bias, I argue that this view should be rejected. Advocates of it have overlooked that values that drive inquiry to the confirmation of predetermined conclusions can contribute to the reliability of scientific inquiry at the group level even when they (...) negatively affect an individual’s cognition. This casts doubt on the proposal that such values should always be illegitimate in science. It also suggests that advocates of that proposal assume a narrow, individualistic account of science that threatens to undermine their own project of ensuring reliable belief formation in science. (shrink)

While the current philosophical debate surrounding Hegel’s aesthetics focuses heavily on the philosopher’s controversial ‘end of art’ thesis, its participants rarely give attention to Hegel’s ideas on the nature of beauty and its relation to art. This study seeks to remedy this oversight by placing Hegel’s views on beauty front and center. Peters asks us to rethink the common assumption that Hegelian beauty is exclusive to art and argues that for Hegel beauty, like art, is subject to historical development. (...) Her careful analysis of Hegel’s notion of beauty not only has crucial implications for our understanding of the ‘end of art’ and Hegel’s aesthetics in general, but also sheds light on other fields of Hegel’s philosophy, in particular his anthropology and aspects of his ethical thought. (shrink)

A growing interest in and concern about the adequacy and fairness of modern peer-review practices in publication and funding are apparent across a wide range of scientific disciplines. Although questions about reliability, accountability, reviewer bias, and competence have been raised, there has been very little direct research on these variables.The present investigation was an attempt to study the peer-review process directly, in the natural setting of actual journal referee evaluations of submitted manuscripts. As test materials we selected 12 already published (...) research articles by investigators from prestigious and highly productive American psychology departments, one article from each of 12 highly regarded and widely read American psychology journals with high rejection rates (80%) and nonblind refereeing practices.With fictitious names and institutions substituted for the original ones (e.g., Tri-Valley Center for Human Potential), the altered manuscripts were formally resubmitted to the journals that had originally refereed and published them 18 to 32 months earlier. Of the sample of 38 editors and reviewers, only three (8%) detected the resubmissions. This result allowed nine of the 12 articles to continue through the review process to receive an actual evaluation: eight of the nine were rejected. Sixteen of the 18 referees (89%) recommended against publication and the editors concurred. The grounds for rejection were in many cases described as “serious methodological flaws.” A number of possible interpretations of these data are reviewed and evaluated. (shrink)

First published in 1966, this book was written to serve as an introductory textbook in the philosophy of education, focusing on ethics and social philosophy. It presents a distinctive point of view both about education and ethical theory and arrived at a time when education was a matter of great public concern. It looks at questions such as 'What do we actually mean by education?' and provides a proper ethical foundation for education in a democratic society. The book will appeal (...) to both teachers and students of philosophy as well as education. (shrink)

Many artificial intelligence (AI) systems currently used for decision-making are opaque, i.e., the internal factors that determine their decisions are not fully known to people due to the systems’ computational complexity. In response to this problem, several researchers have argued that human decision-making is equally opaque and since simplifying, reason-giving explanations (rather than exhaustive causal accounts) of a decision are typically viewed as sufficient in the human case, the same should hold for algorithmic decision-making. Here, I contend that this argument (...) overlooks that human decision-making is sometimes significantly more transparent and trustworthy than algorithmic decision-making. This is because when people explain their decisions by giving reasons for them, this frequently prompts those giving the reasons to govern or regulate themselves so as to think and act in ways that confirm their reason reports. AI explanation systems lack this self-regulative feature. Overlooking it when comparing algorithmic and human decision-making can result in underestimations of the transparency of human decision-making and in the development of explainable AI that may mislead people by activating generally warranted beliefs about the regulative dimension of reason-giving. (shrink)

Communication plays a vital and unique role in society-often blamed for problems when it breaks down and at the same time heralded as a panacea for human relations. A sweeping history of communication, _Speaking Into the Air_ illuminates our expectations of communication as both historically specific and a fundamental knot in Western thought. "This is a most interesting and thought-provoking book.... Peters maintains that communication is ultimately unthinkable apart from the task of establishing a kingdom in which people can (...) live together peacefully. Given our condition as mortals, communication remains not primarily a problem of technology, but of power, ethics and art." —Antony Anderson, _New Scientist_ "Guaranteed to alter your thinking about communication.... Original, erudite, and beautifully written, this book is a gem." —_Kirkus Reviews_ "Peters writes to reclaim the notion of authenticity in a media-saturated world. It's this ultimate concern that renders his book a brave, colorful exploration of the hydra-headed problems presented by a rapid-fire popular culture." —_Publishers Weekly_ What we have here is a failure-to-communicate book. Funny thing is, it communicates beautifully.... _Speaking Into the Air_ delivers what superb serious books always do-hours of intellectual challenge as one absorbs the gradually unfolding vision of an erudite, creative author." —Carlin Romano, _Philadelphia Inquirer_. (shrink)

This research examined the influence of social-, genetic-, and brain-based explanations on attributions of others’ behaviors. Participants were university students in Studies 1, 2, and 3. Participants read a vignette about an individual who possessed several undesirable behaviors and answered related questions. The first two studies had within-subjects designs. Participants in Study 1 were provided with social-, genetic-, and brain-based explanations for the individual’s behavior. The order of the genetic- and brain-based explanations was reversed in Study 2. Study 3 used (...) the same materials, but had a between-subjects design where participants were assigned to one of three groups that differed in their explanation: social, genetic, or brain. Participants also completed measures of social desirability and free will beliefs in all three studies. Consistently, biological explanations had more influence than social explanations on ratings of others’ responsibility, capacity for change, and sentencing considerations. There was inconsistent evidence across the three studies, however, that brain-based explanations had more influence than genetic-based explanations. Interestingly, Free will scores were associated with aspects of the individual’s behavior in the social condition but not in the biological conditions. Additional social cognition research is needed to determine whether brain-based explanations are just one specific instantiation of biological explanations or whether they are unique in this regard when it comes to the attributions we make about others’ behaviors. (shrink)

There is an ecology of bad ideas, just as there is an ecology of weeds, and it is characteristic of the system that basic error propagates itself.–Gregory Bateson, Steps Towards an Ecology of Mind...

Members of the field of philosophy have, just as other people, political convictions or, as psychologists call them, ideologies. How are different ideologies distributed and perceived in the field? Using the familiar distinction between the political left and right, we surveyed an international sample of 794 subjects in philosophy. We found that survey participants clearly leaned left (75%), while right-leaning individuals (14%) and moderates (11%) were underrepresented. Moreover, and strikingly, across the political spectrum, from very left-leaning individuals and moderates to (...) very right-leaning individuals, participants reported experiencing ideological hostility in the field, occasionally even from those from their own side of the political spectrum. Finally, while about half of the subjects believed that discrimination against left- or right-leaning individuals in the field is not justified, a significant minority displayed an explicit willingness to discriminate against colleagues with the opposite ideology. Our findings are both surprising and important, because a commitment to tolerance and equality is widespread in philosophy, and there is reason to think that ideological similarity, hostility, and discrimination undermine reliable belief formation in many areas of the discipline. (shrink)

Many scientists routinely generalize from study samples to larger populations. It is commonly assumed that this cognitive process of scientific induction is a voluntary inference in which researchers assess the generalizability of their data and then draw conclusions accordingly. We challenge this view and argue for a novel account. The account describes scientific induction as involving by default a generalization bias that operates automatically and frequently leads researchers to unintentionally generalize their findings without sufficient evidence. The result is unwarranted, overgeneralized (...) conclusions. We support this account of scientific induction by integrating a range of disparate findings from across the cognitive sciences that have until now not been connected to research on the nature of scientific induction. The view that scientific induction involves by default a generalization bias calls for a revision of the current thinking about scientific induction and highlights an overlooked cause of the replication crisis in the sciences. Commonly proposed interventions to tackle scientific overgeneralizations that may feed into this crisis need to be supplemented with cognitive debiasing strategies against generalization bias to most effectively improve science. (shrink)

R. S. Peters, C. A. Mace; VII—Emotions and the Category of Passivity, Proceedings of the Aristotelian Society, Volume 62, Issue 1, 1 June 1962, Pages 117–142, h.

Confirmation bias is one of the most widely discussed epistemically problematic cognitions, challenging reliable belief formation and the correction of inaccurate views. Given its problematic nature, it remains unclear why the bias evolved and is still with us today. To offer an explanation, several philosophers and scientists have argued that the bias is in fact adaptive. I critically discuss three recent proposals of this kind before developing a novel alternative, what I call the ‘reality-matching account’. According to the account, confirmation (...) bias evolved because it helps us influence people and social structures so that they come to match our beliefs about them. This can result in significant developmental and epistemic benefits for us and other people, ensuring that over time we don’t become epistemically disconnected from social reality but can navigate it more easily. While that might not be the only evolved function of confirmation bias, it is an important one that has so far been neglected in the theorizing on the bias. (shrink)

Why do we engage in folk psychology, that is, why do we think about and ascribe propositional attitudes such as beliefs, desires, intentions etc. to people? On the standard view, folk psychology is primarily for mindreading, for detecting mental states and explaining and/or predicting people’s behaviour in terms of them. In contrast, McGeer (1996, 2007, 2015), and Zawidzki (2008, 2013) maintain that folk psychology is not primarily for mindreading but for mindshaping, that is, for moulding people’s behavior and minds (e.g., (...) via the imposition of social norms) so that coordination becomes easier. Mindreading is derived from and only as effective as it is because of mindshaping, not vice versa. I critically assess McGeer’s, and Zawidzki’s proposal and contend that three common motivations for the mindshaping view do not provide sufficient support for their particular version of it. I argue furthermore that their proposal underestimates the role that epistemic processing plays for mindshaping. And I provide reasons for favouring an alternative according to which, in social cognition involving ascriptions of propositional attitudes, neither mindshaping nor mindreading is primary but both are complementary in that effective mindshaping depends as much on mindreading as effective mindreading depends on mindshaping. (shrink)

It is well known that on the Internet, computer algorithms track our website browsing, clicks, and search history to infer our preferences, interests, and goals. The nature of this algorithmic tracking remains unclear, however. Does it involve what many cognitive scientists and philosophers call ‘mindreading’, i.e., an epistemic capacity to attribute mental states to people to predict, explain, or influence their actions? Here I argue that it does. This is because humans are in a particular way embedded in the process (...) of algorithmic tracking. Specifically, if we endorse common conditions for extended cognition, then human mindreading (by website operators and users) is often literally extended into, that is, partly realized by, not merely causally coupled to, computer systems performing algorithmic tracking. The view that human mindreading extends outside the body into computers in this way has significant ethical advantages. It points to new conceptual ways to reclaim our autonomy and privacy in the face of increasing risks of computational control and online manipulation. These benefits speak in favor of endorsing the notion of extended mindreading. (shrink)

First published in 1981, this collection of essays was taken from Peters' larger work, Psychology and Ethical Development in order to provide a more focused volume on moral education for students. Peters' background in both psychology and philosophy makes the work distinctive, which is evident from the first two essays alone: 'Freud's theory of Moral Development in Relation to that of Piaget' and 'Moral Education and the Psychology of Character'. He also displays balance in his acceptance that reason (...) and feeling are both of great importance where the subject of moral education is concerned. Although written some time ago, the book discusses issues which are still of considerable interest and importance today. (shrink)

Michael A PetersBeijing Normal UniversityChatGPT is an AI chatbot released by OpenAI on November 30, 2022 and a ‘stable release’ on February 13, 2023. It belongs to OpenAI’s GPT-3 family (generativ...

Educational philosophies of self-cultivation as the foundation and cultural ethos for education have a strong and historically effective tradition stretching back to antiquity in the classical ‘cra...

Michael A. PetersBeijing Normal University, Beijing, PR China;There is an ecology of bad ideas, just as there is an ecology of weeds– Gregory Bateson (1972, p. 492)While there are classical anteced...

Western Marxism, since its Western deviation and theoretical development in the 1920s, developed in diverse ways that has reflected the broader philosophical environment. First, a theory of conscio...

R S Peters; Education and the Educated Man, Journal of Philosophy of Education, Volume 4, Issue 1, 30 May 2006, Pages 5–20, https://doi.org/10.1111/j.1467-9752.

Scientists may sometimes generalize from their samples to broader populations when they have not yet sufficiently supported this generalization. Do such hasty generalizations also occur in experimental philosophy? To check, we analyzed 171 experimental philosophy studies published between 2017 and 2023. We found that most studies tested only Western populations but generalized beyond them without justification. There was also no evidence that studies with broader conclusions had larger, more diverse samples, but they nonetheless had higher citation impact. Our analyses reveal (...) important methodological limitations of many experimental philosophy studies and suggest that philosophical training may not protect against hasty generalizations. (shrink)

This paper is an experiment in collective writing conducted in Autumn 2019 at the Faculty of Education at Beijing Normal University. The experiment involves 12 international masters' students readi...

Demographic diversity might often be present in a group without group members noticing it. What are the epistemic effects if they do? Several philosophers and social scientists have recently argued that when individuals detect demographic diversity in their group, this can result in epistemic benefits even if that diversity doesn’t involve cognitive differences. Here I critically discuss research advocating this proposal, introduce a distinction between two types of detection of demographic diversity, and apply this distinction to the theorizing on diversity (...) in science. Focusing on ‘invisible’ diversity, I argue that in one common kind of group in science, if group members have full insight into their group’s diversity, this is likely to create epistemic costs. These costs can be avoided and epistemic benefits gained if group members only partly detect their group’s diversity. There is thus an epistemic reason for context-dependent limitations on scientists’ insight into the diversity of their group. (shrink)

‘No-platforming’—the practice of denying someone the opportunity to express their opinion at certain venues because of the perceived abhorrent or misguided nature of their view—is a hot topic. Several philosophers have advanced epistemic reasons for using the policy in certain cases. Here we introduce epistemic considerations against no-platforming that are relevant for the reflection on the cases at issue. We then contend that three recent epistemic arguments in favor of no-platforming fail to factor these considerations in and, as a result, (...) offer neither a conclusive justification nor strong epistemic support for no-platforming in any of the relevant cases. Moreover, we argue that, taken together, our epistemic considerations against no-platforming and the three arguments for the policy suggest that no-platforming poses an epistemic dilemma. While advocates and opponents of no-platforming alike have so far overlooked this dilemma, it should be addressed not only to prevent that actual no-platforming decisions create more epistemic harm than good, but also to put us into a better position to justify the policy when it is indeed warranted. (shrink)

One of the most important developments in the past decades of scholarship on Kant's practical philosophy is a growing interest in his conception of moral character, especially in his conception of virtue. Focusing especially on his later works in moral philosophy, such as the Doctrine of Virtue in his Metaphysics of Morals, commentators have shown that Kant possesses a rich, elaborate account of moral virtue. This has brought partly unexpected aspects of Kantian moral philosophy to new light. We can no (...) longer reduce Kant's moral philosophy to a theory concerned with the moral status of individual actions and the decision procedure leading up to them. Nor can one uphold the view that emotions and sentiments play no... (shrink)

As we envision constructive undertakings in the field of religion and science for the next decade, the emerging agenda of astrotheology is opening up a new theater for enquiry. Astrotheology provides a critical theological response to the field of astrobiology while critically assessing exciting new research on life in our solar system and the discovery of exoplanets. This article proposes four tasks for the astrotheologian: deliberate on (1) the scope of creation: is God's creation Earth-centric or does it include the (...) entire cosmos? (2) the question whether a single divine incarnation on Earth suffices for the cosmos or whether multiple incarnations—one for each inhabited planet—is required; (3) whether astrobiologists and other space scientists are sticking to their science or smuggling in ideology; and (4) readying terrestrial life for contact with extraterrestrial life by enumerating issues to be taken up by astroethics. (shrink)

Since Zygon: Journal of Religion and Science was founded 49 years ago and since one of its co-publishers, the Institute on Religion in an Age of Science (IRAS), was founded 60 years ago, there have been significant developments in their various cultural contexts—in science, in religion, in culture, in academia, and in the science and religion dialogue. This article is a personal remembrance and reflection that compares the context of IRAS in 1954 when it was first organized with the context (...) of IRAS and Zygon today. It considers the contemporary niche of IRAS in relation to the developments that have occurred over the past 60 years. (shrink)