Deepfakes are algorithmically modified video and audio recordings that project one person’s appearance on to that of another, creating an apparent recording of an event that never took place. Many scholars and journalists have begun attending to the political risks of deepfake deception. Here we investigate other ways in which deepfakes have the potential to cause deeper harms than have been appreciated. First, we consider a form of objectification that occurs in deepfaked ‘frankenporn’ that digitally fuses the parts of different (...) women to create pliable characters incapable of giving consent to their depiction. Next, we develop the idea of ‘illocutionary wronging’, in which an individual is forced to engage in speech acts they would prefer to avoid in order to deny or correct the misleading evidence of a publicized deepfake. Finally, we consider the risk that deepfakes may facilitate campaigns of ‘panoptic gaslighting’, where many systematically altered recordings of a single person's life undermine their memory, eroding their sense of self and ability to engage with others. Taken together, these harms illustrate the roles that social epistemology and technological vulnerabilities play in human ethical life. (shrink)

Most public and non-profit organisations that fund health research provide the majority of their funding in the form of grants. The calls for grant applications are often untargeted, such that a wide variety of applications may compete for the same funding. The grant review process therefore plays a critical role in determining how limited research resources are allocated. Despite this, little attention has been paid to whether grant review criteria align with widely endorsed ethical criteria for allocating health research resources. (...) Here, we analyse the criteria and processes that ten of the largest public and non-profit research funders use to choose between competing grant applications. Our data suggest that research funders rarely instruct reviewers to consider disease burden or to prioritise research for sicker or more disadvantaged populations, and typically only include scientists in the review processes. This is liable to undermine efforts to link research funding to health needs. (shrink)

This article tells the story of the oil and gas origins of the Gaia hypothesis, the theory that the Earth is a homeostatic system. It shows how Gaia’s key assumption—that the climate is a fundamentally stable system, able to withstand perturbations—emerged as a result of a collaboration between the theory’s progenitor, James Lovelock, and Royal Dutch Shell in response to Shell’s concerns about the effects of its products on the climate. The article explains how Lovelock elaborated the Gaia hypothesis and (...) gave it evidential depth through a series of Royal Dutch Shell-funded research projects meant to identify organisms whose biological activities might double as climate-regulating mechanisms. The article goes on to show how this research subsequently laid the foundation for a distinct genre of climate change denialism, in which corporations sowed doubt not by denying the phenomenon of global warming but by naturalizing it. (shrink)

The vast majority of health research resources are used to study conditions that affect a small, advantaged portion of the global population. This distribution has been widely criticized as inequitable and threatens to exacerbate health disparities. However, there has been little systematic work on what individual health research funders ought to do in response. In this article, we analyze the general and special duties of research funders to the different populations that might benefit from health research. We assess how these (...) duties apply to governmental, multilateral, nonprofit, and for-profit organizations. We thereby derive a framework for how different types of funders should take the beneficiaries of research into account when they allocate scarce research resources. (shrink)

_K. al-Manām_ by Ibn Abī al-Dunyā is a compendium of 350 Muslim dream narratives in Arabic. The English introduction examines the function of dreams in classical Arabic literature with a focus on dreams as a means of edification.

In this paper, I explore the possibility of developing a Kantian account of the ethics of belief by deploying the tools provided by Kant's ethics. To do so, I reconstruct epistemic concepts and arguments on the model of their ethical counterparts, focusing on the notions of epistemic principle, epistemic maxim and epistemic universalizability test. On this basis, I suggest that there is an analogy between our position as moral agents and as cognizers: our actions and our thoughts are subject to (...) the same rational norm. (shrink)

The authors respond to a letter by Mitchell Berger in the March‐April 2024 issue of the Hastings Center Report concerning their essay “Securing the Trustworthiness of the FDA to Build Public Trust in Vaccines.”.

In Mindblindness, Simon Baron-Cohen presents a model of the evolution and development of "mindreading." He argues that we mindread all the time, effortlessly, automatically, and mostly unconsciously. It is the natural way in which we interpret, predict, and participate in social behavior and communication. We ascribe mental states to people: states such as thoughts, desires, knowledge, and intentions. Building on many years of research, Baron-Cohen concludes that children with autism, suffer from "mindblindness" as a result of a selective (...) impairment in mindreading. For these children, the world is essentially devoid of mental things. Baron-Cohen develops a theory that draws on data from comparative psychology, from developmental, and from neuropsychology. He argues that specific neurocognitive mechanisms have evolved that allow us to mindread, to make sense of actions, to interpret gazes as meaningful, and to decode "the language of the eyes." A Bradford Book. (shrink)

Journal of Political Philosophy, EarlyView.

The need for greater privacy protections in the United States has never been greater. In their work, “Ethical Responsibilities for Companies That Process Personal Data”, McCoy et al. (2023) correct...

The research we fund today will improve the health of people who will live tomorrow. But future people will not all benefit equally: decisions we make about what research to prioritize will predictably affect when and how much different people benefit from research. Organizations that fund health research should thus fairly account for the health needs of future populations when setting priorities. To this end, some research funders aim to allocate research resources in accordance with disease burden, prioritizing illnesses that (...) cause more morbidity and mortality. In this article, I defend research funders' practice of aligning research funding with disease burden but argue that funders should aim to align research funding with future—rather than present—disease burden. I suggest that research funders should allocate research funding in proportion to aggregated estimates of disease burden over the period when research could plausibly start to yield benefits until indefinitely into the future. (shrink)

ABSTRACT Anthony Fauci, an infectious disease expert in the White House's coronavirus task force, is challenged to offer responsible public communication of science despite working under a habitual liar who has no tolerance for criticism or dissent. Fauci manages this rhetorical exigence by using strategic ambiguity, the topos of the honest broker, dissociation, and a narrative that constrains executive decision making.

Deliberation and democratic legitimacy -- Moral pluralism and political consensus -- Associations and democracy (with Joel Rogers) -- Freedom of expression -- Procedure and substance in deliberative democracy -- Directly-deliberative polyarchy (with Charles Sabel) -- Democracy and liberty -- Money, politics, political equality -- Privacy, pluralism, and democracy -- Reflections on deliberative democracy -- Truth and public reason.

Bioethicists influence practices and policies in medicine, science, and public health. However, little is known about bioethicists’ views. We recently surveyed 824 U.S. bioethicists on a wide range of ethical issues, including topics related to abortion, medical aid in dying, and resource allocation, among others. We also asked bioethicists about their demographic, religious, academic, and professional backgrounds. We find that bioethicists’ normative commitments predict their views on bioethical issues. We also find that, in important ways, bioethicists’ views do not align (...) with those of the U.S. public: for instance, bioethicists are more likely than members of the public to think abortion is ethically permissible but are less likely to believe compensating organ donors is. Our demographic results indicate the field of bioethics is far less diverse than the U.S. population—less diverse even than other academic disciplines—suggesting far more work needs to be done to build an inclusive field. (shrink)

In his recent article “Ethical Criteria for Health-Promoting Nudges: A Case-by-Case Analysis,” Bart Engelen (2019) develops a useful framework for evaluating health-related nudges in an attempt to...

In a world surrounded by smart objects from sensors to automated medical devices, the ubiquity of ‘smart’ seems matched only by its lack of clarity. In this article, we use our discussions with expert stakeholders working in areas of implantable medical devices such as cochlear implants, implantable cardiac defibrillators, deep brain stimulators and in vivo biosensors to interrogate the difference facets of smart in ‘implantable smart technologies’, considering also whether regulation needs to respond to the autonomy that such artefacts carry (...) within them. We discover that when smart technology is deconstructed it is a slippery and multi-layered concept. A device’s ability to sense and transmit data and automate medicine can be associated with the ‘sting’ of autonomy being disassociated from human control as well as affecting individual, group, and social environments. (shrink)

Two of the most influential theories about scientific inference are inference to the best explanation and Bayesianism. How are they related? Bas van Fraassen has claimed that IBE and Bayesianism are incompatible rival theories, as any probabilistic version of IBE would violate Bayesian conditionalization. In response, several authors have defended the view that IBE is compatible with Bayesian updating. They claim that the explanatory considerations in IBE are taken into account by the Bayesian because the Bayesian either does or should (...) make use of them in assigning probabilities to hypotheses. I argue that van Fraassen has not succeeded in establishing that IBE and Bayesianism are incompatible, but that the existing compatibilist response is also not satisfactory. I suggest that a more promising approach to the problem is to investigate whether explanatory considerations are taken into account by a Bayesian who assigns priors and likelihoods on his or her own terms. In this case, IBE would emerge from the Bayesian account, rather than being used to constrain priors and likelihoods. I provide a detailed discussion of the case of how the Copernican and Ptolemaic theories explain retrograde motion, and suggest that one of the key explanatory considerations is the extent to which the explanation a theory provides depends on its core elements rather than on auxiliary hypotheses. I then suggest that this type of consideration is reflected in the Bayesian likelihood, given priors that a Bayesian might be inclined to adopt even without explicit guidance by IBE. The aim is to show that IBE and Bayesianism may be compatible, not because they can be amalgamated, but rather because they capture substantially similar epistemic considerations. 1 Introduction2 Preliminaries3 Inference to the Best Explanation4 Bayesianism5 The Incompatibilist View : Inference to the Best Explanation Contradicts Bayesianism5. 1 Criticism of the incompatibilist view6 Constraint - Based Compatibilism6. 1 Criticism of constraint - based compatibilism7 Emergent Compatibilism7. 1 Analysis of inference to the best explanation7. 1. 1 Inference to the best explanation on specific hypotheses7. 1. 2 Inference to the best explanation on general theories7. 1. 3 Copernicus versus Ptolemy7. 1. 4 Explanatory virtues7. 1. 5 Summary7. 2 Bayesian account8 Conclusion. (shrink)

BackgroundThe main purpose of this study was to describe the latent structure of pregnancy perception by investigating the role of risks and medical examinations in pregnancy perception across the sexes and pregnancy status.MethodsStudy 1 developed a questionnaire based on the responses of 29 young adults on their perception of pregnancy. Study 2 consisted of distributing the questionnaire among 290 participants.ResultsThe statistical clustering analysis revealed three major clusters of pregnancy perceptions: “evaluative,” “physio-medical,” and “future considerations,” each of them encompassing several meaningful (...) sub-clusters. This structure of pregnancy perceptions supports Beck and Beck-Gernsheim’s modernization approach. Negative emotions toward pregnancy were related to social cognitions, whereas thoughts about risks were included in the medical sub-cluster. After reliability analyses, comparisons of scale scores revealed that women experienced more positive emotions, thought more about physical symptoms and about future issues compared to men.ConclusionPregnant participants felt less ambivalence toward pregnancy, thought more about risks and medical examinations and less about parents’ duties than non-pregnant participants. (shrink)

The paradigm of rights, established throughout the academic, policy and migrant activism arenas, governs the protection of vulnerable migrant workers against abuse. To what extent this approach has achieved social justice for the migrant worker in the current global political economy climate is, however, uncertain. In analyzing the use of rights in migrant activism in Hong Kong, this paper shows the limitation of rights in the migrant experience at the same time as it shows how a new paradigm based on (...) the Capablities Approach could provide a more appropriate framework from which to achieve social justice for the migrant worker. (shrink)

We use a new model of metarepresentational development to predict a cognitive deficit which could explain a crucial component of the social impairment in childhood autism. One of the manifestations of a basic metarepresentational capacity is a ‘ theory of mind ’. We have reason to believe that autistic children lack such a ‘ theory ’. If this were so, then they would be unable to impute beliefs to others and to predict their behaviour. This hypothesis was tested using Wimmer (...) and Perner’s puppet play paradigm. Normal children and those with Down’s syndrome were used as controls for a group of autistic children. Even though the mental age of the autistic children was higher than that of the controls, they alone failed to impute beliefs to others. Thus the dysfunction we have postulated and demonstrated is independent of mental retardation and specific to autism. (shrink)

The use of artificial intelligence (AI) to aid legal decision making has become prominent. This paper investigates the use of AI in a critical issue in employment law, the determination of a worker’s status—employee vs. independent contractor—in two common law countries (the U.S. and Canada). This legal question has been a contentious labor issue insofar as independent contractors are not eligible for the same benefits as employees. It has become an important societal issue due to the ubiquity of the gig (...) economy and the recent disruptions in employment arrangements. To address this problem, we collected, annotated, and structured the data for all Canadian and Californian court cases related to this legal question between 2002 and 2021, resulting in 538 Canadian cases and 217 U.S. cases. In contrast to legal literature focusing on complex and correlated characteristics of the employment relationship, our statistical analyses of the data show very strong correlations between the worker’s status and a small subset of quantifiable characteristics of the employment relationship. In fact, despite the variety of situations in the case law, we show that simple, off-the-shelf AI models classify the cases with an out-of-sample accuracy of more than 90%. Interestingly, the analysis of misclassified cases reveals consistent misclassification patterns by most algorithms. Legal analyses of these cases led us to identify how equity is ensured by judges in ambiguous situations. Finally, our findings have practical implications for access to legal advice and justice. We deployed our AI model via the open-access platform, https://MyOpenCourt.org/, to help users answer employment legal questions. This platform has already assisted many Canadian users, and we hope it will help democratize access to legal advice to large crowds. (shrink)

We respond to open peer commentaries on our target article, "Health Research Priority Setting: The Duties of Individual Funders".

An examination of the controversial "theory of mind" hypothesis, which states that children with autism are unable to comprehend other people's mental states. The theory relates to the most fundamental questions of normal development as well as to autism i.

There has been considerable puzzlement over how to respond to higher-order evidence. The existing dilemmas can be defused by adopting a ‘two-dimensional’ representation of doxastic attitudes which incorporates not only substantive uncertainty about which first-order state of affairs obtains but also the degree of conviction with which we hold the attitude. This makes it possible that in cases of higher-order evidence the evidence sometimes impacts primarily on our conviction, rather than our substantive uncertainty. I argue that such a two-dimensional representation (...) is naturally developed by making use of imprecise probabilities. (shrink)

Psychological studies show that the beliefs of two agents in a hypothesis can diverge even if both agents receive the same evidence. This phenomenon of belief polarisation is often explained by invoking biased assimilation of evidence, where the agents’ prior views about the hypothesis affect the way they process the evidence. We suggest, using a Bayesian model, that even if such influence is excluded, belief polarisation can still arise by another mechanism. This alternative mechanism involves differential weighting of the evidence (...) arising when agents have different initial views about the reliability of their sources of evidence. We provide a systematic exploration of the conditions for belief polarisation in Bayesian models which incorporate opinions about source reliability, and we discuss some implications of our findings for the psychological literature. (shrink)

BackgroundFunctional neurodiagnostics could allow researchers and clinicians to distinguish more accurately between the unresponsive wakefulness syndrome and the minimally conscious state. It remains unclear how it informs surrogate decision-making.ObjectiveTo explore how the next of kin of patients with disorders of consciousness interpret the results of a functional neurodiagnostics measure and how/why their interpretations influence their attitudes towards medical decisions.Methods and SampleWe conducted problem-centered interviews with seven next of kin of patients with DOC who had undergone a functional HD-EEG examination at (...) a neurological rehabilitation center in Germany. The examination included an auditory oddball paradigm and a motor imagery task to detect hidden awareness. We analyzed the interview transcripts using structuring qualitative content analysis.ResultsRegardless of the diagnostic results, all participants were optimistic of the patients’ meaningful recovery. We hypothesize, that participants deal with the results of examinations according to their belief system. Thus, an unfavorable evaluation of the patient’s state had the potential to destabilize the participant’s belief system. To re-stabilize or to prevent the destabilization of their belief system, participants used different strategies. Participants accepted a “positive” HD-EEG result since it stabilized their belief system.ConclusionWe hypothesize, that a group of next of kin of patients with DOC deals with functional neurodiagnostics results on the basis of the result’s value and their high hope that the patient will recover meaningfully. A psychological mechanism seems to moderate the impact of functional neurodiagnostics on surrogate treatment decisions. (shrink)

This interdisciplinary collection of essays highlights the relevance of Buddhist doctrine and practice to issues of globalization. From philosophical, religious, historical, and political perspectives, the authors show that Buddhism—arguably the world’s first transnational religion—is a rich resource for navigating todays interconnected world.

Journal Name: Philologus Issue: Ahead of print.

Hierarchical Bayesian models (HBMs) provide an account of Bayesian inference in a hierarchically structured hypothesis space. Scientific theories are plausibly regarded as organized into hierarchies in many cases, with higher levels sometimes called ‘paradigms’ and lower levels encoding more specific or concrete hypotheses. Therefore, HBMs provide a useful model for scientific theory change, showing how higher‐level theory change may be driven by the impact of evidence on lower levels. HBMs capture features described in the Kuhnian tradition, particularly the idea that (...) higher‐level theories guide learning at lower levels. In addition, they help resolve certain issues for Bayesians, such as scientific preference for simplicity and the problem of new theories. *Received July 2009; revised October 2009. †To contact the authors, please write to: Leah Henderson, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 32D‐808, Cambridge, MA 02139; e‐mail: [email protected]. (shrink)

Washington, D.C.’s City Council has recently taken the first step towards legalizing the use of “medical marijuana” in accordance with the provisions of the Legalization of Marijuana for Medical Treatment Initiative of 1998. This action was not overruled by the United States Congress within the 30-day deadline imposed by the District of Columbia’s Home Rule Statute. The Council is now crafting regulations that will govern the therapeutic and palliative use of this drug with the goal of avoiding some of the (...) problems faced by the other states that have legalized medical marijuana; however, the proposed rules do not establish criteria for legitimate medical practice when medical marijuana is recommended. If the enabling regulations are passed by the D.C. Council and not rejected by the Congress, the District of Columbia will join over onequarter of the states in legalizing medical marijuana. On the other hand, if the D.C. Council fails to act favorably on the final regulations, then the effective legalization of medical marijuana will die and not be reconsidered until next year. (shrink)

Hierarchical Bayesian models (HBMs) provide an account of Bayesian inference in a hierarchically structured hypothesis space. Scientific theories are plausibly regarded as organized into hierarchies in many cases, with higher levels sometimes called ‘para- digms’ and lower levels encoding more specific or concrete hypotheses. Therefore, HBMs provide a useful model for scientific theory change, showing how higher-level theory change may be driven by the impact of evidence on lower levels. HBMs capture features described in the Kuhnian tradition, particularly the idea (...) that higher-level theories guide learning at lower levels. In addition, they help resolve certain issues for Bayesians, such as scientific preference for simplicity and the problem of new theories. (shrink)