During the recent pandemic, fear of COVID-19 has been widespread and is considered to deteriorate mental health. We assessed whether vaccination can effectively reduce the fear of COVID-19 and, thus, contribute to improving people's mental health status. We used two-wave panel data from a German online study collected in April 2021 (t1) and August/September 2021 (t2) and estimated differences-in-differences to determine whether those who were vaccinated against COVID-19 experienced a reduction of fear of COVID-19, and whether the reduction was more (...) evident as compared to people who were not vaccinated for various reasons. (shrink)

In recent years, the ethical impact of AI has been increasingly scrutinized, with public scandals emerging over biased outcomes, lack of transparency, and the misuse of data. This has led to a growing mistrust of AI and increased calls for mandated ethical audits of algorithms. Current proposals for ethical assessment of algorithms are either too high level to be put into practice without further guidance, or they focus on very specific and technical notions of fairness or transparency that do not (...) consider multiple stakeholders or the broader social context. In this article, we present an auditing framework to guide the ethical assessment of an algorithm. The audit instrument itself is comprised of three elements: a list of possible interests of stakeholders affected by the algorithm, an assessment of metrics that describe key ethically salient features of the algorithm, and a relevancy matrix that connects the assessed metrics to stakeholder interests. The proposed audit instrument yields an ethical evaluation of an algorithm that could be used by regulators and others interested in doing due diligence, while paying careful attention to the complex societal context within which the algorithm is deployed. (shrink)

In this paper, I suggest that for some proposed solutions to global justice problems, incompatibility with the necessary features of international law is a reason to reject them. I illustrate this by discussing the problem raised by the case of unjust combatants, that is, combatants lacking a just cause for war. I argue that the principle of inequality of combatants, which suggests that we ought to prohibit those without a just cause for war from fighting, is not only a bad (...) international legal principle, but also a bad principle of global justice. (shrink)

One of the reasons for many different and even opposing interpretations of Hume's Dialogues Concerning Natural Religion is the absence of consensus concerning the question of which character in the Dialogues represents Hume. In this paper I argue that taking Philo to be his primary spokesperson provides us with the most consistent reading of the whole work and helps us better understand Hume's religious viewpoint. I first stress the specific dialogue form of Hume's work, which requires us to take into (...) account literary tools such as irony and double-talk when interpreting it. From there I proceed to show why I believe that my hypothesis is better supported than the other two main hypotheses concerning Hume's presence in the Dialogues, the first one being that Cleanthes represents Hume and the other one that none of the characters consistently speaks for Hume but rather that the whole structure of the work does that. Although there is both textual and historical evidence which suggests that Hume favoured Cleanthes, I show that his opinions deviate from Hume's well-known views on important subjects such as scepticism, morality and Christianity, while Philo's opinions on these subjects agree with Hume's almost verbatim. The second hypothesis is proven to be wrong by the fact that Philo actually consistently defends Hume's opinions. Finally, I argue that Philo's understanding of true religion as a philosophical position devoid of any religious import agrees with Hume's religious scepticism. (shrink)

Predmet ovog rada je istraživanje i kritika nekih aspekata teorije Dejvida Luisa o tvrđenjima kojima se pripisuje znanje subjektu. U prvom odeljku izlažem skeptički paradoks i osnovne postavke epistemičkog kontekstualizma. U drugom odeljku objašnjavam na koji način Luis kombinuje teoriju relevantnih alternativa i epistemički kontekstualizam prlikom formulisanja svoje teorije o tvrđenjima kojima se pripisuje znanje subjektu. U trećem odeljku pokazujem da ova teorija dopušta postojanje znanja koje je zasnovano samo na ignorisanju i argumentujem da ova nepovoljna posledica proističe iz načina (...) na koji Luis formuliše pravilo verovanja u okviru svoje teorije. U zaključnom odeljku ukazujem na problematične aspekte i ad hoc karakter Luisovog pravila pažnje i tvrdim da je ono tako formulisano da bi omogućilo rešavanje skeptičkog paradoksa. Zaključujem da je Luisova teorija o tvrđenjima kojima se pripisuje znanje subjektu neodrživa u svom originalnom obliku. (shrink)

In this paper, we distinguish between different sorts of assessments of algorithmic systems, describe our process of assessing such systems for ethical risk, and share some key challenges and lessons for future algorithm assessments and audits. Given the distinctive nature and function of a third-party audit, and the uncertain and shifting regulatory landscape, we suggest that second-party assessments are currently the primary mechanisms for analyzing the social impacts of systems that incorporate artificial intelligence. We then discuss two kinds of as-sessments: (...) an ethical risk assessment and a narrower, technical algo-rithmic bias assessment. We explain how the two assessments depend on each other, highlight the importance of situating the algorithm within its particular socio-technical context, and discuss a number of lessons and challenges for algorithm assessments and, potentially, for algorithm audits. The discussion builds on our team’s experience of advising and conducting ethical risk assessments for clients across dif-ferent industries in the last four years. Our main goal is to reflect on the key factors that are potentially ethically relevant in the use of algo-rithms, and draw lessons for the nascent algorithm assessment and audit industry, in the hope of helping all parties minimize the risk of harm from their use. (shrink)

An increasing number of regulations propose the notion of ‘AI audits’ as an enforcement mechanism for achieving transparency and accountability for artificial intelligence (AI) systems. Despite some converging norms around various forms of AI auditing, auditing for the purpose of compliance and assurance currently have little to no agreed upon practices, procedures, taxonomies, and standards. We propose the ‘criterion audit’ as an operationalizable compliance and assurance external audit framework. We model elements of this approach after financial auditing practices, and argue (...) that AI audits should similarly provide assurance to their stakeholders about AI organizations’ ability to govern their algorithms in ways that mitigate harms and uphold human values. We discuss the necessary conditions for the criterion audit, and provide a procedural blueprint for performing an audit engagement in practice. We illustrate how this framework can be adapted to current regulations by deriving the criteria on which ‘bias audits’ for hiring algorithms can be performed, as required by the recently effective New York City Local Law 144 of 2021. We conclude by offering critical discussion on the benefits, inherent limitations, and implementation challenges of applying practices of the more mature financial auditing industry to AI auditing where robust guardrails against quality assurance issues are only starting to emerge. Our discussion as informed by experiences in performing these audits in practice highlights the critical role that an audit ecosystem plays in ensuring the effectiveness of such methodology. (shrink)

The book presents the first comprehensive survey of limits of the intentional control of action from an interdisciplinary perspective. It brings together leading scholars from philosophy, psychology, and the law to elucidate this theoretically and practically important topic from a variety of theoretical and disciplinary approaches. It provides reflections on conceptual foundations as well as a wealth of empirical data and will be a valuable resource for students and researchers alike. Among the authors: Clancy Blair, Todd S. Braver, Michael W. (...) Cole, Anika Fäsche, Maayan Davidov, Peter Gollwitzer, Kai Robin Grzyb, Tobias Heikamp, Gabriele Oettingen, Rachel McKinnon, Nachschon Meiran, Hans Christian Röhl, Michael Schmitz, John R. Searle, Gottfried Seebaß, Gisela Trommsdorff, Felix Thiede, J. Lukas Thürmer, Frank Wieber. (shrink)