Artificial intelligence (AI) systems are increasingly being used not only to classify and analyze but also to generate images and text. As recent work on the content produced by text and image Generative AIs has shown (e.g., Cheong et al., 2024, Acerbi & Stubbersfield, 2023), there is a risk that harms of representation and bias, already documented in prior AI and natural language processing (NLP) algorithms may also be present in generative models. These harms relate to protected categories such as (...) gender, race, age, and religion. There are several kinds of harms of representation to consider in this context, including stereotyping, lack of recognition, denigration, under-representation, and many others (Crawford in Soundings 41:45–55, 2009; in: Barocas et al., SIGCIS Conference, 2017). Whereas the bulk of researchers’ attention thus far has been given to stereotyping and denigration, in this study we examine ‘exnomination’, as conceived by Roland Barthes (1972), of religious groups. Our case study is DALL-E, a tool that generates images from natural language prompts. Using DALL-E mini, we generate images from generic prompts such as “religious person.” We then examine whether the generated images are recognizably members of a nominated group. Thus, we assess whether the generated images normalize some religions while neglecting others. We hypothesize that Christianity will be recognizably represented more frequently than other religious groups. Our results partially support this hypothesis but introduce further complexities, which we then explore. (shrink)

This chapter addresses the relationship between misinformation and disagreement. We begin by arguing that one traditional bogeyman in this domain, ideological polarization, does not account for the many problems that have been documented. Instead, affective polarization seems to be the root cause of most of these problems. We then discuss the relationships between moral outrage, misinformation, and affective polarization. We next turn to the political implications of affective polarization and conclude by discussing some potential solutions to the problems that arise (...) in this area. (shrink)

Despite the growing public awareness of social sustainability issues, little is known about what drives firms to emphasize social criteria in their supplier management practices and what the precise benefits of such efforts are. This is especially true for relationships with international suppliers from the world's emerging economies in Asia, Latin America, and Eastern Europe. Building on stakeholder theory, we address the issue by examining how pressures from customers, the government, and employees as primary constituencies of the firm determine the (...) extent to which firms consider social aspects in the selection of emerging economy suppliers. Further, we analyze how such socially sustainable supplier selection relates to the capabilities of the firm's suppliers, its market reputation, and the learning in its supply management organization. We test the developed research framework empirically using data from 244 U. S. and German corporations. Our findings, consistent with our hypothesized model, suggest that middle-level supply managers as internal stakeholders play a major driving role for firms' socially sustainable supplier selection, and that strong positive links exist between that selection and the investigated outcomes. (shrink)

Protests and counter-protests seek to draw and direct attention and concern with confronting images and slogans. In recent years, as protests and counter-protests have partially migrated to the digital space, such images and slogans have also gone online. Two main ways in which these images and slogans are translated to the online space is through the use of emoji and hashtags. Despite sustained academic interest in online protests, hashtag activism and the use of emoji across social media platforms, little is (...) known about the specific functional role that emoji and hashtags play in online social movements. In an effort to fill this gap, the current paper studies both hashtags and emoji in the context of the Twitter discourse around the Black Lives Matter movement. (shrink)

Trust in vaccination is eroding, and attitudes about vaccination have become more polarized. This is an observational study of Twitter analyzing the impact that COVID-19 had on vaccine discourse. We identify the actors, the language they use, how their language changed, and what can explain this change. First, we find that authors cluster into several large, interpretable groups, and that the discourse was greatly affected by American partisan politics. Over the course of our study, both Republicans and Democrats entered the (...) vaccine conversation in large numbers, forming coalitions with Antivaxxers and public health organizations, respectively. After the pandemic was officially declared, the interactions between these groups increased. Second, we show that the moral and non-moral language used by the various communities converged in interesting and informative ways. Finally, vector autoregression analysis indicates that differential responses to public health measures are likely part of what drove this convergence. Taken together, our results suggest that polarization around vaccination discourse in the context of COVID-19 was ultimately driven by a trust-first dynamic of political engagement. (shrink)

The social media platform Twitter platform has played a crucial role in the Black Lives Matter (BLM) movement. The immediate, flexible nature of tweets plays a crucial role both in spreading information about the movement’s aims and in organizing individual protests. Twitter has also played an important role in the right-wing reaction to BLM, providing a means to reframe and recontextualize activists’ claims in a more sinister light. The ability to bring about social change depends on the balance of these (...) two forces, and in particular which side can capture and maintain sustained attention. The present study examines 2 years worth of tweets about BLM (about 118 million in total). Timeseries analysis reveals that activists are better at mobilizing rapid attention, whereas right-wing accounts show a pattern of moderate but more sustained activity driven by reaction to political opponents. Topic modeling reveals differences in how different political groups talk about BLM. Most notably, the murder of George Floyd appears to have solidified a right-wing counter-framing of protests as arising from dangerous “terrorist” actors. The study thus sheds light on the complex network and rhetorical effects that drive the struggle for online attention to the BLM movement. (shrink)

Multinational enterprises venturing into emerging economies operate in relatively unfamiliar environments that, compared with their home countries, often display a high degree of administrative distance. At the same time, many MNEs face the question of how intensely to commit to corporate social responsibility in emerging economies, given the often relatively lower social standards in those countries. This research addresses the question of how administrative distance, MNE subsidiary size, and experience in the host country relate to the extent to which MNEs (...) strategically commit to CSR in their emerging economy subsidiaries. We argue that the greater the administrative distance between MNEs’ home and host countries, the lesser the MNE subsidiaries strategically commit to CSR. At the same time, we predict that the larger the size of MNE subsidiaries, and the longer their experience in the host country, the more the MNE subsidiaries strategically commit to CSR. To test our hypotheses, we use data from a large-scale, cross-industry survey of 213 subsidiaries of Western MNEs in Asia, Eastern Europe, and Latin America. We complement the survey data with country-level data from the World Bank Governance Indicators. (shrink)

We show that if a real x2ω is strongly Hausdorff -random, where h is a dimension function corresponding to a convex order, then it is also random for a continuous probability measure μ such that the μ-measure of the basic open cylinders shrinks according to h. The proof uses a new method to construct measures, based on effective continuous transformations and a basis theorem for -classes applied to closed sets of probability measures. We use the main result to derive a (...) collapse of randomness notions for Hausdorff measures, and to provide a characterization of effective Hausdorff dimension similar to Frostman’s Theorem. (shrink)

Placing our trust wisely is both difficult and important. The challenge of knowing who to trust inheres at least partially in the fact that coinciding interests cannot be taken for granted, and that language, as the principal medium through which would-be interactants make their interests known, doesn’t discriminate between true and feigned proclamations of good intent. Because our patterns of trust partition the world into reliable and unreliable sources, trust is also important: it determines how we distribute our social and (...) epistemic dependencies, which in turn informs much of what we believe and do. The fact that our interactions with the world and each other are increasingly mediated by digital communication technologies affects both these elements of trust: though unabated access to the internet invites us to distribute our dependencies more broadly, the kinds of information environments that we encounter online make misplaced trust a more common occurrence. I argue that a large part of the problem, as well as one possible set of solutions, resides in a deceptively simple dictum: the internet makes talk cheap, and cheap talk can’t be trusted. (shrink)

We study degree-theoretic properties of reals that are not random with respect to any continuous probability measure (NCR). To this end, we introduce a family of generalized Hausdorff measures based on the iterates of the “dissipation” function of a continuous measure and study the effective nullsets given by the corresponding Solovay tests. We introduce two constructions that preserve non-randomness with respect to a given continuous measure. This enables us to prove the existence of NCR reals in a number of Turing (...) degrees. In particular, we show that every \(\Delta ^0_2\) -degree contains an NCR element. (shrink)

Intellectual humility (IH) is often conceived as the recognition of, and appropriate response to, your own intellectual limitations. As far as we are aware, only a handful of studies look at interventions to increase IH – e.g. through journalling – and no study so far explores the extent to which having high or low IH can be predicted. This paper uses machine learning and natural language processing techniques to develop a predictive model for IH and identify top terms and features (...) that indicate degrees of IH. We trained our classifier on the dataset from an existing psychological study on IH, where participants were asked to journal their experiences with handling social conflicts over 30 days. We used Logistic Regression (LR) to train a classifier and the Linguistic Inquiry and Word Count (LIWC) dictionaries for feature selection, picking out a range of word categories relevant to interpersonal relationships. Our results show that people who differ on IH do in fact systematically express themselves in different ways, including through expression of emotions (i.e., positive, negative, and specifically anger, anxiety, sadness, as well as the use of swear words), use of pronouns (i.e., first person, second person, and third person) and time orientation (i.e., past, present, and future tenses). We discuss the importance of these findings for IH and the value of using such techniques for similar psychological studies, as well as some ethical concerns and limitations with the use of such semi-automated classifications. (shrink)

Integrated information systems are increasingly used in schools, and the advent of the technology-rich classroom requires a new degree of ongoing classroom assessment. Able to track web searches, resources used, task completion time, and a variety of other classroom behaviors, technology-rich classrooms offer a wealth of potential information about teaching and learning. This information can be used to track student progress in languages, STEM, and in 21st Century skills, for instance. However, despite these changes, there has been little change in (...) the kind of data made available to teachers, administrators, students, and parents. Measuring and Visualizing Learning in the Information-Rich Classroom collects research on the implementation of classroom assessment techniques in technology-enhanced learning environments. Building on research conducted by a multinational and multidisciplinary team of learning technology experts, and specialists from around the globe, this book addresses these discrepancies. With contributions from major researchers in education technology, testing and assessment, and education psychology, this book contributes to a holistic approach for building the information infrastructure of the 21st Century school. (shrink)

The present paper analyzes the self‐generated explanations (from talk‐aloud protocols) that “Good” and “Poor” students produce while studying worked‐out examples of mechanics problems, and their subsequent reliance on examples during problem solving. We find that “Good” students learn with understanding: They generate many explanations which refine and expand the conditions for the action parts of the example solutions, and relate these actions to principles in the text. These self‐explanations are guided by accurate monitoring of their own understanding and misunderstanding. Such (...) learning results in example‐independent knowledge and in a better understanding of the principles presented in the text. “Poor” students do not generate sufficient self‐explanations, monitor their learning inaccurately, and subsequently rely heavily on examples. We then discuss the role of self‐explanations in facilitating problem solving, as well as the adequacy of current AI models of explanation‐based learning to account for these psychological findings. (shrink)

This book examines the epistemic function of perception and the relation between language and conceptual thought, and provides new ways of conceptualizing the Buddhist defense of the reflexivity thesis of consciousness: namely, that each cognitive event is to be understood as involving a pre-reflective implicit awareness of its own occurrence.

The present paper analyzes the self‐generated explanations (from talk‐aloud protocols) that “Good” and “Poor” students produce while studying worked‐out examples of mechanics problems, and their subsequent reliance on examples during problem solving. We find that “Good” students learn with understanding: They generate many explanations which refine and expand the conditions for the action parts of the example solutions, and relate these actions to principles in the text. These self‐explanations are guided by accurate monitoring of their own understanding and misunderstanding. Such (...) learning results in example‐independent knowledge and in a better understanding of the principles presented in the text. “Poor” students do not generate sufficient self‐explanations, monitor their learning inaccurately, and subsequently rely heavily on examples. We then discuss the role of self‐explanations in facilitating problem solving, as well as the adequacy of current AI models of explanation‐based learning to account for these psychological findings. (shrink)

The classic programme of conceptual engineering (Cappelen, Herman. 2018. Fixing Language: An Essay on Conceptual Engineering. Oxford: Oxford University Press; Eklund, Matti. 2021. “Conceptual Engineering.” In The Routledge Handbook of Social and Political Philosophy of Language, edited by Justin Khoo, and Rachel Sterken, 15–30. London: Routledge) envisages a two-stage ameliorating process. First, we assess ‘F’ and determine what the term should express. Second, we bring it about that ‘F’ expresses what it should express. The second stage gives rise to a (...) practical challenge: the implementation challenge. Engineering advocates need to explain by what means they can implement specific conceptual changes in the natural language shared by a community – a feat Herman Cappelen (2018. Fixing Language: An Essay on Conceptual Engineering. Oxford: Oxford University Press, 2020; “Conceptual Engineering: The Master Argument.” In Conceptual Engineering and Conceptual Ethics, edited by Alexis Burgess, Herman Cappelen, and David Plunkett, 132–151. Oxford: Oxford University Press) argues to be beyond our understanding and control both on an externalist and on an internalist meta-semantics. I devise a new answer to the implementation challenge. Enlisting the influential theory of social norms by Cristina Bicchieri, I argue that engineering social norms in Bicchieri’s technical sense amounts to an effective, specific, and feasible means to implement specific conceptual change, at least on internalist premises. I also argue that Bicchieri’s social norms are an essential addition to the more familiar conventions and moral norms when it comes to conceptual engineering. (shrink)

An infinite binary sequence X is Kolmogorov–Loveland random if there is no computable non-monotonic betting strategy that succeeds on X in the sense of having an unbounded gain in the limit while betting successively on bits of X. A sequence X is KL-stochastic if there is no computable non-monotonic selection rule that selects from X an infinite, biased sequence.One of the major open problems in the field of effective randomness is whether Martin-Löf randomness is the same as KL-randomness. Our first (...) main result states that KL-random sequences are close to Martin-Löf random sequences in so far as every KL-random sequence has arbitrarily dense subsequences that are Martin-Löf random. A key lemma in the proof of this result is that for every effective split of a KL-random sequence at least one of the halves is Martin-Löf random. However, this splitting property does not characterize KL-randomness; we construct a sequence that is not even computably random such that every effective split yields two subsequences that are 2-random. Furthermore, we show for any KL-random sequence A that is computable in the halting problem that, first, for any effective split of A both halves are Martin-Löf random and, second, for any computable, nondecreasing, and unbounded function g and almost all n, the prefix of A of length n has prefix-free Kolmogorov complexity at least n−g. Again, the latter property does not characterize KL-randomness, even when restricted to left-r.e. sequences; we construct a left-r.e. sequence that has this property but is not KL-stochastic and, in fact, is not even Mises–Wald–Church stochastic.Turning our attention to KL-stochasticity, we construct a non-empty class of KL-stochastic sequences that are not weakly 1-random; by the usual basis theorems we obtain such sequences that in addition are left-r.e., are low, or are of hyperimmune-free degree.Our second main result asserts that every KL-stochastic sequence has effective dimension 1, or equivalently, a sequence cannot be KL-stochastic if it has infinitely many prefixes that can be compressed by a factor of α<1. This improves on a result by Muchnik, who has shown that were they to exist, such compressible prefixes could not be found effectively. (shrink)

This paper maps out various options for thinking about two issues: the structural relationship between practical wisdom and the moral virtues, and the various functions of practical wisdom. With the help of a case study of the virtue of honesty, three main concerns are raised for what I call the Standard Model of practical wisdom. Two other models, the Socratic Model and the Fragmentation Model, are also critically evaluated. I end by taking seriously an eliminativist approach according to which the (...) trait of practical wisdom does not exist. (shrink)

Generative artificial intelligence systems based on transformers, including both text-generators like GPT-4 and image generators like DALL-E 3, have recently entered the popular consciousness. These tools, while impressive, are liable to reproduce, exacerbate, and reinforce extant human social biases, such as gender and racial biases. In this paper, we systematically review the extent to which DALL-E Mini suffers from this problem. In line with the Model Card published alongside DALL-E Mini by its creators, we find that the images it produces (...) tend to represent dozens of different occupations as populated either solely by men (e.g., pilot, builder, plumber) or solely by women (e.g., hairdresser, receptionist, dietitian). In addition, the images DALL-E Mini produces tend to represent most occupations as populated primarily or solely by White people (e.g., farmer, painter, prison officer, software engineer) and very few by non-White people (e.g., pastor, rapper). These findings suggest that exciting new AI technologies should be critically scrutinized and perhaps regulated before they are unleashed on society. (shrink)

Humean Laws for Human Agents presents cutting-edge research by leading experts on the Humean account of laws, chance, possibility, and necessity. A central question in metaphysics and philosophy of science is: What are laws of nature? Humeans hold that laws are not sui generis metaphysical entities but merely particularly effective summaries of what actually happens. The most discussed recent work on Humeanism emphasizes the laws' usefulness for limited agents and uses pragmatic considerations to address fundamental and long-standing problems. The current (...) volume develops and critically examines pragmatic Humean accounts, with innovative new work on the epistemology of laws and chance, the problem of induction, counterfactuals, special science laws, and a Humean account of essence. Taken together, the papers provide a roadmap for developing pragmatic Humeanism and connate views, setting the agenda for future research. (shrink)

This article examines the methodology of a core branch of contemporary political theory or philosophy: “analytic” political theory. After distinguishing political theory from related fields, such as political science, moral philosophy, and legal theory, the article discusses the analysis of political concepts. It then turns to the notions of principles and theories, as distinct from concepts, and reviews the methods of assessing such principles and theories, for the purpose of justifying or criticizing them. Finally, it looks at a recent debate (...) on how abstract and idealized political theory should be, and assesses the significance of disagreement in political theory. The discussion is carried out from an angle inspired by the philosophy of science. (shrink)

How should you decide what to do when you're uncertain about basic normative principles (e.g., Kantianism vs. utilitarianism)? A natural suggestion is to follow some "second-order" norm: e.g., "comply with the first-order norm you regard as most probable" or "maximize expected choiceworthiness". But what if you're uncertain about second-order norms too -- must you then invoke some third-order norm? If so, it seems that any norm-guided response to normative uncertainty is doomed to a vicious regress. In this paper, I aim (...) to rescue second-order norms from this threat of regress. I first elaborate and defend the suggestion some philosophers have entertained that the regress problem forces us to accept normative externalism, the view that at least one norm is incumbent on agents regardless of their beliefs or evidence concerning that norm. But, I then argue, we need not accept externalism about first-order (e.g., moral) norms, thus closing off any question of what an agent should do in light of her normative beliefs. Rather, it is more plausible to ascribe external force to a single, second-order rational norm: the enkratic principle, correctly formulated. This modest form of externalism, I argue, is both intrinsically well-motivated and sufficient to head off the threat of regress. (shrink)

A pioneer in the field, Christian Metz applies insights of structural linguistics to the language of film. "The semiology of film . . . can be held to date from the publication in 1964 of the famous essay by Christian Metz, 'Le cinema: langue ou langage?'"--Geoffrey Nowell-Smith, Times Literary Supplement "Modern film theory begins with Metz."--Constance Penley, coeditor of Camera Obscura "Any consideration of semiology in relation to the particular field signifying practice of film passes inevitably through a (...) reference to the work of Christian Metz. . . . The first book to be written in this field, [ Film Language ] is important not merely because of this primacy but also because of the issues it raises . . . issues that have become crucial to the contemporary argument."--Stephen Heath, Screen. (shrink)

Most people who are regular consumers of psychoactive drugs are not drug addicts, nor will they ever become addicts. In neurobiological theories, non-addictive drug consumption is acknowledged only as a “necessary” prerequisite for addiction, but not as a stable and widespread behavior in its own right. This target article proposes a new neurobiological framework theory for non-addictive psychoactive drug consumption, introducing the concept of “drug instrumentalization.” Psychoactive drugs are consumed for their effects on mental states. Humans are able to learn (...) that mental states can be changed on purpose by drugs, in order to facilitate other, non-drug-related behaviors. We discuss specific “instrumentalization goals” and outline neurobiological mechanisms of how major classes of psychoactive drugs change mental states and serve non-drug-related behaviors. We argue that drug instrumentalization behavior may provide a functional adaptation to modern environments based on a historical selection for learning mechanisms that allow the dynamic modification of consummatory behavior. It is assumed that in order to effectively instrumentalize psychoactive drugs, the establishment of and retrieval from a drug memory is required. Here, we propose a new classification of different drug memory subtypes and discuss how they interact during drug instrumentalization learning and retrieval. Understanding the everyday utility and the learning mechanisms of non-addictive psychotropic drug use may help to prevent abuse and the transition to drug addiction in the future. (shrink)

Christian Georg Martin offers an argumentative reconstruction of the whole work, reading it as a critical ontology, namely as the attempt to abstract from all presuppositions and to immanently unfold conceptual determinations characterizing ...

This article examines the methodology of a core branch of contemporary political theory or philosophy: “analytic” political theory. After distinguishing political theory from related fields, such as political science, moral philosophy, and legal theory, the article discusses the analysis of political concepts. It then turns to the notions of principles and theories, as distinct from concepts, and reviews the methods of assessing such principles and theories, for the purpose of justifying or criticizing them. Finally, it looks at a recent debate (...) on how abstract and idealized political theory should be, and assesses the significance of disagreement in political theory. The discussion is carried out from an angle inspired by the philosophy of science. (shrink)

Review by: Jan Reimann The Bulletin of Symbolic Logic, Volume 19, Issue 3, Page 397-399, September 2013.

"Man ist nicht umsonst Philologe gewesen, man ist es vielleicht noch" - Nietzsches Bekenntnisse zur Philologie sind zahlreich. Auf der Grundlage von Quellenstudien beschreibt die Abhandlung Nietzsches tiefe Prägung durch die historisch-kritische Methode der Bonner Schule. Um Philosoph zu werden, musste er sich nicht, wie bisher angenommen, von der Philologie lösen, sondern sprach ihr gerade im Spätwerk eine zentrale Rolle zu. Diese Einsicht führt zur Neubestimmung von Begriffen wie Text, Genealogie, Interpretation, Perspektivismus und zur Zurückweisung herrschender Auffassungen der Wissenschaftsgeschichte, der (...) Hermeneutik und des Dekonstruktivismus. Die Studie endet mit einem von Nietzsche ausgehenden, historisch begründeten Plädoyer für die skeptisch-philologische Literaturwissenschaft. (shrink)

This collection provides the first in-depth introduction to the theory of the religious imagination put forward by renowned philosopher Douglas Hedley, from his earliest essays to his principal writings. Featuring Hedley's inaugural lecture delivered at Cambridge University in 2018, the book sheds light on his robust concept of religious imagination as the chief power of the soul's knowledge of the Divine and reveals its importance in contemporary metaphysics, ethics and politics. Chapters trace the development of the religious imagination in (...) class='Hi'>Christian Platonism from Late Antiquity to British Romanticism, drawing on Origen, Henry More and Samuel Taylor Coleridge, before providing a survey of alternative contemporary versions of the concept as outlined by Karl Rahner, René Girard and William P. Alston, as well as within Indian philosophy. By bringing Christian Platonist thought into dialogue with contemporary philosophy and theology, the volume systematically reveals the relevance of Hedley's work to current debates in religious epistemology and metaphysics. It offers a comprehensive appraisal of the historical contribution of imagination to religious understanding and, as such, will be of great interest to philosophers, theologians and historians alike. (shrink)

I first summarize the main line of argument used by Harman and Doris against Aristotelian virtue ethics in particular. In section two I present what seems to me to be the most promising response to their argument. Finally in section three I briefly review and assess the other leading responses in the now sizable literature that has developed in this area.