In lieu of an abstract, here is a brief excerpt of the content:Graduate Student Member Spotlights Blog for SBCS:Chera Jo WattsChera Jo WattsMy name is Chera Jo Watts, and I am a first-year doctoral student at the University of Georgia in the Department of Religion and Institute for African American Studies. I am a mother, writer, gardener, yoga practitioner, and artist striving toward what Darlene Clark Hines labels a "Black Studies Mindset." As a first-generation college graduate from a (...) poverty-class background, my degrees include a Bachelor of Science in Psychology, a Master of Arts in Religion, and a Graduate Certificate in African American Studies from the University of Georgia. My broad research interests include African American women's religion and literature, focusing primarily on Womanism, and bridging the gap between the Academy and the everyday. I assert that we have much to learn from our ancestors and from each other while living and operating in what Black Buddhist bell hooks labels an imperialist white supremacist capitalist cispatriarchy. These teachings facilitate personal and communal healing as we continuously dismantle white supremacy in the tangible ways we can from the spaces that we occupy. Also, I currently serve as the Graduate Teaching Assistant in the Institute for African American Studies at the University of Georgia.Within SBCS, I am a graduate student member, and I strongly encourage other graduate students to consider membership in this organization. This community consists of imaginative and generous scholars, and you could make numerous international connections within the field of religious studies (along with other disciplines). As the current Executive Associate for Digital Services, I currently support the Society in a professional role through web updates, monitoring email, and various tasks as instructed by the governing board.How do your research interests relate to the SBCS? What are you working on at the moment?I am currently learning from published Womanists-Buddhists, and SBCS has published several journal articles focused on this thread of Womanist thought and scholarship (especially see Volumes 34, 2014, and 36, 2016). I am grateful to be in conversation with these folks through their work.In May 2022, I finished my Master's Thesis (published in ProQuest) under the direction of Dr. Carolyn Jones Medine. My thesis focuses on Womanist Buddhist thought in the works of Alice Walker while paying special attention to her first novel, The Third Life of Grange Copeland, and then tracing the importance of her Buddhist practice across other works, such as essays and poetry. My first peer-reviewed journal [End Page 273] article was also published in 2022. Reading between the Times: An Ongoing Womanist Buddhist Project may be accessed online through MDPI, and it was included as part of a Special Edition of the journal which focused on spirituality, identity, and resistance in African American literature. At the moment, I have a few journal articles in process which extend this work, and I expanded the analysis to include Black Buddhist bell hooks. For hooks, I am especially interested in her focus on living from a "love ethic," and I'm grateful for an upcoming panel presentation at the 2023 bell hooks Symposium hosted by Berea College this June. Finally, along with Dr. Carolyn Jones Medine, I am co-authoring an Oxford Bibliography entry for "Alice Walker," in which we acknowledge the importance of Walker's spiritual practices, including Buddhism, on her life and writings.Contact information: [email protected] | University of Georgia | Institute for African American Studies and Department of Religion. [End Page 274]Chera Jo WattsExecutive Associate for Digital ServicesCopyright © 2023 University of Hawai'i Press... (shrink)

What is the relation between language, communication, and values? In Slurs and Thick Terms, Bianca Cepollaro explores the ways in which certain pieces of evaluative language, such as slurs and so-called thick terms, not only reflect speakers’ moral perspectives, but also contribute to promote the speaker’s evaluative stance.

Real engines of the artificial intelligence revolution, machine learning models, and algorithms are embedded nowadays in many services and products around us. As a society, we argue it is now necessary to transition into a phronetic paradigm focused on the ethical dilemmas stemming from the conception and application of AIs to define actionable recommendations as well as normative solutions. However, both academic research and society-driven initiatives are still quite far from clearly defining a solid program of study and intervention. In (...) this contribution, we will focus on selected ethical investigations around AI by proposing an incremental model of trust that can be applied to both human-human and human-AI interactions. Starting with a quick overview of the existing accounts of trust, with special attention to Taddeo’s concept of “e-trust,” we will discuss all the components of the proposed model and the reasons to trust in human-AI interactions in an example of relevance for business organizations. We end this contribution with an analysis of the epistemic and pragmatic reasons of trust in human-AI interactions and with a discussion of kinds of normativity in trustworthiness of AIs. (shrink)

In his recent article ‘Limits of trust in medical AI,’ Hatherley argues that, if we believe that the motivations that are usually recognised as relevant for interpersonal trust have to be applied to interactions between humans and medical artificial intelligence, then these systems do not appear to be the appropriate objects of trust. In this response, we argue that it is possible to discuss trust in medical artificial intelligence (AI), if one refrains from simply assuming that trust describes human–human interactions. (...) To do so, we consider an account of trust that distinguishes trust from reliance in a way that is compatible with trusting non-human agents. In this account, to trust a medical AI is to rely on it with little monitoring and control of the elements that make it trustworthy. This attitude does not imply specific properties in the AI system that in fact only humans can have. This account of trust is applicable, in particular, to all cases where a physician relies on the medical AI predictions to support his or her decision making. (shrink)

We address an open problem in the philosophy of artificial intelligence (AI): how to justify the epistemic attitudes we have towards the trustworthiness of AI systems. The problem is important, as providing reasons to believe that AI systems are worthy of trust is key to appropriately rely on these systems in human-AI interactions. In our approach, we consider the trustworthiness of an AI as a time-relative, composite property of the system with two distinct facets. One is the actual trustworthiness of (...) the AI and the other is the perceived trustworthiness of the system as assessed by its users while interacting with it. We show that credences, namely, beliefs we hold with a degree of confidence, are the appropriate attitude for capturing the facets of the trustworthiness of an AI over time. Then, we introduce a reliabilistic account providing justification to the credences in the trustworthiness of AI, which we derive from Tang’s probabilistic theory of justified credence. Our account stipulates that a credence in the trustworthiness of an AI system is justified if and only if it is caused by an assessment process that tends to result in a high proportion of credences for which the actual and perceived trustworthiness of the AI are calibrated. This approach informs research on the ethics of AI and human-AI interactions by providing actionable recommendations on how to measure the reliability of the process through which users perceive the trustworthiness of the system, investigating its calibration to the actual levels of trustworthiness of the AI as well as users’ appropriate reliance on the system. (shrink)

Artificial intelligence (AI) systems are quickly gaining ground in healthcare and clinical decision-making. However, it is still unclear in what way AI can or should support decision-making that is based on incapacitated patients’ values and goals of care, which often requires input from clinicians and loved ones. Although the use of algorithms to predict patients’ most likely preferred treatment has been discussed in the medical ethics literature, no example has been realised in clinical practice. This is due, arguably, to the (...) lack of a structured approach to the epistemological, ethical and pragmatic challenges arising from the design and use of such algorithms. The present paper offers a new perspective on the problem by suggesting that preference predicting AIs be viewed as sociotechnical systems with distinctive life-cycles. We explore how both known and novel challenges map onto the different stages of development, highlighting interdisciplinary strategies for their resolution. (shrink)

We consider the complex interactions between rape culture and epistemology. A central case study is the consideration of a deferential attitude about the epistemology of sexual assault testimony. According to the deferential attitude, individuals and institutions should decline to act on allegations of sexual assault unless and until they are proven in a formal setting, i.e., a criminal court. We attack this deference from several angles, including the pervasiveness of rape culture in the criminal justice system, the epistemology of testimony (...) and norms connecting knowledge and action, the harms of tacit idealizations away from important contextual factors, and a contextualist semantics for 'knows' ascriptions. (shrink)

The high predictive accuracy of contemporary machine learning-based AI systems has led some scholars to argue that, in certain cases, we should grant them epistemic expertise and authority over humans. This approach suggests that humans would have the epistemic obligation of relying on the predictions of a highly accurate AI system. Contrary to this view, in this work we claim that it is not possible to endow AI systems with a genuine account of epistemic expertise. In fact, relying on accounts (...) of expertise and authority from virtue epistemology, we show that epistemic expertise requires a relation with understanding that AI systems do not satisfy and intellectual abilities that these systems do not manifest. Further, following the Distribution Cognition theory and adapting an account by Croce on the virtues of collective epistemic agents to the case of human-AI interactions we show that, if an AI system is successfully appropriated by a human agent, a _hybrid_ epistemic agent emerges, which can become both an epistemic expert and an authority. Consequently, we claim that the aforementioned hybrid agent is the appropriate object of a discourse around trust in AI and the epistemic obligations that stem from its epistemic superiority. (shrink)

Reclamation is usually taken to be the phenomenon wherein in-groups employ a slur to express pride, foster camaraderie, or subvert discriminatory structures. We provide data showing that, under some special circumstances, out-groups successfully reclaim slurs too. Thus, the mainstream restriction to in-groups is merely an approximation of the correct extension of the phenomenon – of who does actually reclaim slurs. Removing any such stipulative restriction opens a path towards further theorizing into the nature of reclamation.

In their article ‘Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI’, Durán and Jongsma discuss the epistemic and ethical challenges raised by black box algorithms in medical practice. The opacity of black box algorithms is an obstacle to the trustworthiness of their outcomes. Moreover, the use of opaque algorithms is not normatively justified in medical practice. The authors introduce a formalism, called computational reliabilism, which allows generating justified beliefs on the (...) algorithm reliability and trustworthy outcomes of artificial intelligence systems by means of epistemic warrants, called reliability indicators. However, they remark the need for reliability indicators specific to black box algorithms and that justified knowledge is not sufficient to justify normatively the actions of the physicians using medical AI systems. Therefore, Durán and Jongsma advocate for a more transparent design and implementation of black box algorithms, providing a series of recommendations to mitigate the epistemic and ethical challenges behind their use in medical practice. In this response, I argue that a peculiar form of black box algorithm transparency, called design publicity, may efficiently implement these recommendations. Design publicity encodes epistemic, that is, reliability indicators, and ethical recommendations for black box algorithms by means of four subtypes of transparency. These target the values and goals, their translation into design requirements, the performance and consistency of the algorithm altogether. I discuss design publicity applying it to a use case focused on the automated classification of skin lesions from medical images. (shrink)

Large language models (LLMs) have now entered the realm of medical ethics. In a recent study, Balaset alexamined the performance of GPT-4, a commercially available LLM, assessing its performance in generating responses to diverse medical ethics cases. Their findings reveal that GPT-4 demonstrates an ability to identify and articulate complex medical ethical issues, although its proficiency in encoding the depth of real-world ethical dilemmas remains an avenue for improvement. Investigating the integration of LLMs into medical ethics decision-making appears to be (...) an interesting avenue of research. However, despite the promising trajectory of LLM technology in medicine, it is crucial to exercise caution and refrain from attributing their expertise to medical ethics. Our thesis follows an examination of the nature of expertise and the epistemic limitations that affect LLM technology. As a result, we propose two more fitting applications of LLMs in medical ethics: first, as tools for mining electronic health records or scientific literature, thereby supplementing evidence for resolving medical ethics cases, and second, as educational platforms to foster ethical reflection and critical thinking skills among students and residents. The integration of LLMs in medical ethics, while promising, requires careful consideration of their epistemic limitations. Consequently, a well-considered definition of their role in ethically sensitive decision-making is crucial. (shrink)

While civic education may not always be explicitly included in school curriculums, it can still be imparted through various non-teaching practices and in different places. In this article, we will delve into three potential educational spaces -memorials, museums, and libraries- that are commonly found in Western democracies. We will explore the significance and scope of each of these spaces and discuss their respective ethical, political, and aesthetic responsibilities. Additionally, we will examine how they possess agency and can influence the educational (...) process, recognizing that even non-human entities, such as nature itself, can play an important role in shaping our understanding of civic education. (shrink)

ABSTRACT A widespread thesis in contemporary philosophy of language is that certain speech constitutes, rather than merely causes, harm. McGowan develops a prescriptive account of harm constitution, according to which harm-constituting speech enacts norms that prescribe harm. Ordinary verbal bigotry, she claims, is harmful in this sense. We submit that the norms enacted by ordinary racist (or otherwise bigoted) utterances are not prescriptive. In our view, ordinary verbal bigotry enacts ‘non-neutrally’ permissive norms rendering harmful behaviours locally permitted—and indeed preferred over (...) non-harmful options. We conclude by arguing that, although ordinary verbal bigotry enacts non-prescriptive norms, it can still constitute harm. (shrink)

The case states that a male same-sex couple entered into a surrogacy arrangement with an unrelated surrogate using donor sperm and the surrogate’s eggs. M is the legal mother pursuant to s33 of the Human Fertilisation and Embryology Act 2008. Though the facts tell us that there was no legally binding arrangement, this is in fact the position of the law: under s1A Surrogacy Arrangements Act, no surrogacy arrangements can ever be binding on the parties. It is not clear whether (...) the donor sperm is from one of the same-sex couple or not. If it was donor sperm and not from either intended father, this is not an arrangement that would be recognised in law, as one of the men must be genetically related to the child in order for them to obtain legal parenthood via a parental order, under s54 HFEA 2008. They could apply to adopt the child, although they may fall foul of adoption legislation1 if any money has moved between them and M and they do not fall within an exemption.2 In any event, an adoption cannot be achieved in time for them to obtain legal parenthood in a crisis situation. In the absence of a biological connection and the resulting legal parenthood, in order to obtain parental responsibility for the child to allow them to make decisions about Baby T’s care, the men would need to apply for leave to apply for a child arrangements order pursuant to s10 Children Act 1989. However, in the …. (shrink)

This is a short editorial, maybe introducing editorial board members' changes.

Nicola Guarino is widely recognized as one of the founders of applied ontology. His deep interest in the subtlest details of theoretical analysis and his vision of ontology as the Rosetta Stone for semantic interoperability guided the development and understanding of this domain. His motivations in research stem from the conviction that all science must be for the benefit of society at large, and his motto has always been that ontologies are not just for making information systems interoperable, but – (...) more importantly – for ensuring that systems’ users understand each other. He was among the first to recognize that applied ontology must be an interdisciplinary enterprise if it is to capture the intended meaning of the terms used by an information system. (shrink)

Inizialmente, il saggio tratteggia una breve storia estetico-artistica della nuvola, dagli archè della filosofia naturalistica presocratica, in cui si mostrano le nuvole come un compendio perfetto della vita e della sua immagine mutevole, alla tesi kantiana sull’origine nuvolosa del cosmo. Le nuvole sono immagini attraverso le quali si evoca la struttura di cui è fatta ogni forma che ha in sé le leggi dell’apparire e della materia. Esse rappresentano, dunque, un’origine senza origine e il complesso rapporto analogico e linguistico con (...) la realtà. A partire da tali considerazioni lo scritto analizza per via analogica Equivalents (1993) dell’artista brasiliano Vik Muniz. Queste opere intensificano la riflessione sul vedere e sull’esistenza, mettono in discussione i principi della fotografia e aprono a nuove pratiche non più fotografiche ma forografiche. Le nuvole dimostrano come l’arte non sia il tentativo di cercare la bellezza ma di avere il coraggio di riceverla, sollecitando costantemente nuovi e mutevoli linguaggi. (shrink)

This chapter attempts to differentiate between types of monumental representations of Jerusalem, to locate them historically and to explore the reasons for their extraordinary density by deciphering the essentials of their function as mnemonic devices in the framework of medieval devotionalism. Conditioned by historical events such as the Crusades, Franciscan canonization of the Stations of the Cross and the Counter-Reformation, representation of Jerusalem gradually expanded from copies of Christ's tomb in the Church of the Holy Sepulchre to commemorate the Stations (...) of the Cross and other holy places in Jerusalem and the Holy Land. The holy landscapes are multimedia representations: they combine topography and architecture with life-size figural groups and wall painting to identify the holy places. Groups of such representations could form separate sites at a certain distance from settlements, or encompass a city with a network of reproduced loca sancta. (shrink)

We investigate a typology of socially and ethically risky phenomena emerging from the interaction between humans and large language model (LLM)-based conversational systems. As they relate to the way in which humans attribute social identity components, such as role and face, to LLM-based conversational systems, we term these phenomena 'social misattributions.' Drawing on classical theories of social identity and recent debates in the philosophy of technology, we argue that these social misattributions represent higher-order forms of anthropomorphisation of LLM-based conversational systems (...) that are not justified by their technical capabilities and follow from the social context of conversational interactions. We discuss the risks these misattributions pose to human users, including emotional manipulation and unwarranted trust, and propose mitigation strategies. Our recommendations emphasise the importance of fostering social transparency and exploring approaches, such as frictional design, that are currently promoted in the research domain of human-centred artificial intelligence. (shrink)

Human-centered explainable AI (HCXAI) advocates for the integration of social aspects into AI explanations. Central to the HCXAI discourse is the Social Transparency (ST) framework, which aims to make the socio-organizational context of AI systems accessible to their users. In this work, we suggest extending the ST framework to address the risks of social misattributions in Large Language Models (LLMs), particularly in sensitive areas like mental health. In fact LLMs, which are remarkably capable of simulating roles and personas, may lead (...) to mismatches between designers' intentions and users' perceptions of social attributes, risking to promote emotional manipulation and dangerous behaviors, cases of epistemic injustice, and unwarranted trust. To address these issues, we propose enhancing the ST framework with a fifth 'W-question' to clarify the specific social attributions assigned to LLMs by its designers and users. This addition aims to bridge the gap between LLM capabilities and user perceptions, promoting the ethically responsible development and use of LLM-based technology. (shrink)

In our recent article ‘The Ethics of the Algorithmic Prediction of Goal of Care Preferences: From Theory to Practice’1, we aimed to ignite a critical discussion on why and how to design artificial intelligence (AI) systems assisting clinicians and next-of-kin by predicting goal of care preferences for incapacitated patients. Here, we would like to thank the commentators for their valuable responses to our work. We identified three core themes in their commentaries: (1) the risks of AI paternalism, (2) worries about (...) attacks to our humanity stemming from the use of AI and (3) the possibility of designing AI systems for more relevant use cases than the one we consider in our work. We shall focus on these themes, leaving aside some other interesting suggestions, given the limited space available for our response. Diaz Milian and Bhattacharyya discuss the risks of AI paternalism highlighting how the use of an AI to predict goal of care preferences may incentivise clinicians and surrogates to shift the burden of decision making to the machine.2 In particular, ‘[i]f the AI-generated response is given priority above the other agents’2 and the AI makes decisions autonomously, then ‘AI paternalism’ would emerge.2 Against this possibility, the authors suggest four safeguards to be implemented in the AI life-cycle.2 These are procedures that may improve the trustworthiness of the AI and human control over it.3 We agree that it is important …. (shrink)

Volume 20, Issue 10, October 2020, Page 75-77.

Counterspeech is communication that tries to counteract potential harm brought about by other speech. Theoretical interest in counterspeech partly derives from a libertarian ideal – as captured in the claim that the solution to bad speech is more speech – and partly from a recognition that well-meaning attempts to counteract harm through speech can easily misfire or backfire. Here we survey recent work on the question of what makes counterspeech effective at remedying or preventing harm, in those cases where it (...) is effective, as well as work investigating when and why there is a duty to engage in counterspeech. We suggest that the most fruitful area for philosophical inquiry on this topic, currently, relates to the questions about efficacy. Specifically, we argue that there is a need for better frameworks for conceptualizing the efficacy of counterspeech. Philosophers have collaborative work to do, alongside social scientists, in developing these frameworks. (shrink)

Bianca-Alexandra Savu ABSTRACT: This article discusses the proposal of accommodating grounding theories and structural realism, with the aim to provide a metaphysical framework for structural realism. Ontic structural realism, one of the most accepted metaphysical versions for structural realism, is taken into account here, with the intention of analyzing the framework in which...

The article investigates which epistemological considerations justify how religious life fits into the school life, and examines the debate on the participation of religiosity in the education system. I do this, first, by addressing the pedagogical implications of the distinction between public and private as maintained by Richard Rorty and, second, by reconsidering the pluralist metaphysics held by William James as an alternative path to understanding and re-addressing the question of religious life in school life. The article analyzes how the (...) strict separation of projects of individual self-creation and the public sphere, as defended by Rorty, poses problems in implementing pluralism in democratic societies and their educational institutions. (shrink)

In this article, Bianca Thoilliez draws on pragmatist notions of fallibilism and pluralism to develop proposals for possible educational interventions to address the problem of “post-truth” conditions. Post-truth, she contends, is not only a political danger for liberal democracies, but it also poses a serious threat of extinction for our educational practices. With the help of some of Bruno Latour's and Danna Haraway's categories, and with the narrative intervention of Gerald Durrell's My Family and Other Animals, Thoilliez attempts to (...) adapt both Charles Peirce's and William James's classic pragmatist ideas in order to experiment with new horizons of thought capable of overcoming the exhausted pedagogical divides of docility/indocility, conserve/discard, and optimism/pessimism that often seem woven into the definition of educational relationships, the establishment of curriculum content, and the orientation of pedagogical actions. As an alternative, she recommends building communitarian alliances of fallibilistic inquiry and promoting practices of pluralistic cultural provision as more useful educational ends-in-view that embody a down-to-earth pedagogy capable of reinstating trust, taking care of truths, looking for ways of keeping our lives together, and making education possible again. Thus, here Thoilliez proposes a pedagogy that neither fixes nor evades our troubles, but one that stays with them. (shrink)

In this paper we argue that transparency of machine learning algorithms, just as explanation, can be defined at different levels of abstraction. We criticize recent attempts to identify the explanation of black box algorithms with making their decisions (post-hoc) interpretable, focusing our discussion on counterfactual explanations. These approaches to explanation simplify the real nature of the black boxes and risk misleading the public about the normative features of a model. We propose a new form of algorithmic transparency, that consists in (...) explaining algorithms as an intentional product, that serves a particular goal, or multiple goals (Daniel Dennet’s design stance) in a given domain of applicability, and that provides a measure of the extent to which such a goal is achieved, and evidence about the way that measure has been reached. We call such idea of algorithmic transparency “design publicity.” We argue that design publicity can be more easily linked with the justification of the use and of the design of the algorithm, and of each individual decision following from it. In comparison to post-hoc explanations of individual algorithmic decisions, design publicity meets a different demand (the demand for impersonal justification) of the explainee. Finally, we argue that when models that pursue justifiable goals (which may include fairness as avoidance of bias towards specific groups) to a justifiable degree are used consistently, the resulting decisions are all justified even if some of them are (unavoidably) based on incorrect predictions. For this argument, we rely on John Rawls’s idea of procedural justice applied to algorithms conceived as institutions. (shrink)

ABSTRACTFor Rorty, any attempt to articulate a theory of truth as such is of no interest. This implies that although it may be meaningful to differentiate the truths from the falsehoods, it is pointless to say what the property of goodness is in the things we believe are good to do. Rorty points out that our no longer understanding Philosophy – with the capital ‘P’–as the framing of normative notions would make room for a post-philosophical culture where the philosophers’ activity (...) would be closer to the practices of cultural critique with the self-imposed limitation of devoting themselves exclusively to advancing descriptions of how things relate to each other. This article aims to explore what would happen if this provocation were brought to the field of Pedagogy. Taking on this Rortyan theme, keeping hope on the potentially liberating and transformative power of education implies a hopeful attitude by which individuals involved in education processes express their love for the world as a commitment to a better future, as well as their belief in its possibilities. (shrink)

Artificial intelligence (AI) systems are increasingly being used in healthcare, thanks to the high level of performance that these systems have proven to deliver. So far, clinical applications have focused on diagnosis and on prediction of outcomes. It is less clear in what way AI can or should support complex clinical decisions that crucially depend on patient preferences. In this paper, we focus on the ethical questions arising from the design, development and deployment of AI systems to support decision-making around (...) cardiopulmonary resuscitation and the determination of a patient’s Do Not Attempt to Resuscitate status (also known as code status). The COVID-19 pandemic has made us keenly aware of the difficulties physicians encounter when they have to act quickly in stressful situations without knowing what their patient would have wanted. We discuss the results of an interview study conducted with healthcare professionals in a university hospital aimed at understanding the status quo of resuscitation decision processes while exploring a potential role for AI systems in decision-making around code status. Our data suggest that (1) current practices are fraught with challenges such as insufficient knowledge regarding patient preferences, time pressure and personal bias guiding care considerations and (2) there is considerable openness among clinicians to consider the use of AI-based decision support. We suggest a model for how AI can contribute to improve decision-making around resuscitation and propose a set of ethically relevant preconditions—conceptual, methodological and procedural—that need to be considered in further development and implementation efforts. (shrink)