COVID-19 has uncovered the vulnerabilities, inequalities and fragility present within our social community which has exposed and exacerbated the pre-existing racial and socioeconomic inequalities that disproportionately affect health outcomes for Black, Asian and Minority Ethnic (BAME) people. Such disparities are fuelled by complex socioeconomic health determinants and longstanding structural inequalities. This paper aims to explore the inequalities and vulnerabilities of BAME communities laid bare by the Public Health England (PHE) reports published in June 2020, concluding with suggested strategies to address (...) inequalities in a post COVID-19 recovery. (shrink)

This book is a collection of essays reporting the successes, failures, and barriers contributing to a lack of educational access in developing countries. The international contributors to this volume work in communities that are in the front lines of the battle to achieve universal access to education for everyone.

This article examines the ways in which ideologies of aspiration, inclusion, and women’s empowerment associated with India’s globalizing knowledge economy are re-framed by young women workers in a small-town business-process outsourcing center two hours outside of Bangalore. Drawing on forty in-depth interviews, I show that, in contrast to their managers’ expectations of individualized work aspirations, women workers draw on both individualistic and domestically embedded articulations of the future in a formulation I call “flexible aspirations.” In articulating flexible aspirations, they draw (...) both on the gendered language of neoliberal self-improvement for the global economy and on the nationalist ideal of rural middle-class feminine domesticity. While insisting that the future is uncertain, young women use flexible aspirations as a symbolic resource to distinguish themselves from both old-fashioned village housewives and promiscuous urban call center girls. I briefly compare these flexible aspirations to young men workers’ strategic articulations of aspiration, which, rather than relinquishing hopes to an unpredictable future, adjust plans to fit known social limitations. This article, drawing on feminist interpretations of Bourdieu, extends the literature on the Indian middle classes by analyzing young women’s aspirations in non-elite social locations. It builds on this feminist scholarship by highlighting ways in which young women use articulations of flexible aspiration as a mode of gendered class distinction. (shrink)

This paper considers the question of virtues appropriate to a corporate actor's moral character. A model of corporate appetites is developed by analogy with animal appetities; and the pursuit of initially virtuous corporate tendencies to an extreme degree is shown to be morally perilous. The author thus refutes a previous argument which suggested that (1) corporate virtues, unlike human virtues, need not be located on an Aristotelian mean between opposite undesirable extremes because (2) corporations do not have appetites; and (3) (...) corporate virtues must serve the end of sustainable profit. If these disanalogies between corporate and human virtue no longer hold, then the stage is set for us to formulate a more adequate model of good corporate character that would encompass other-regarding virtues. (shrink)

Is being responsible good enough? Stone (1975) argued that we need corporate moral responsibility because neither law nor market is adequate to forestall harmful effects of business activities. However, it is not possible for businesses to become responsible for all forms of foreseeable, preventable harm that they produce. This is illustrated here by cases from insurance, television programming, automobiles and weapons production. Reflection on these examples leads to the formulation of a new conception of unintended harms as moral externalities of (...) business activities. Although one might argue that these (negative) moral external effects are outweighed by the desirable end products of business activities, three reasons not to accept the results of such a moral subtraction(or double effect) argument are presented. Instead, the article concludes by offering four techniques for a qualitative, ethical analysis of produced artefacts and their consequences; intended not to displace but to supplement the study of moral responsibility in business. (shrink)

This article suggests that criminality in leaders might best be understood by ethicists as a matter of degree. Leaders may take without legitimate claim a variety of tangible or intangible goods including ideas and personal health. The extent to which any such act should be disfavoured is subject to debate. Moreover, both theft and control may be understood as continuous phenomena. Kleptocratic regimes within workplace or family may foster in people a habit of accepting similar treatment from economic and political (...) leaders at all levels. Forms of governance may be arranged on a continuum from those that serve to those that exploit their subjects. Responses to kleptocratic regimes range from acceptance through unconscious and conscious resistance to violent revolt. (shrink)

BackgroundInstitutional review boards (IRBs) have been criticised for delays in approvals for research proposals due to inadequate or inexperienced IRB staff. Artificial intelligence (AI), particularly large language models (LLMs), has significant potential to assist IRB members in a prompt and efficient reviewing process.MethodsFour LLMs were evaluated on whether they could identify potential ethical issues in seven validated case studies. The LLMs were prompted with queries related to the proposed eligibility criteria of the study participants, vulnerability issues, information to be disclosed (...) in the informed consent document (ICD), risk–benefit assessment and justification of the use of a placebo. Another query was issued to the LLMs to generate ICDs for these case scenarios.ResultsAll four LLMs were able to provide answers to the queries related to all seven cases. In general, the responses were homogeneous with respect to most elements. LLMs performed suboptimally in identifying the suitability of the placebo arm, risk mitigation strategies and potential risks to study participants in certain case studies with a single prompt. However, multiple prompts led to better outputs in all of these domains. Each of the LLMs included all of the fundamental elements of the ICD for all case scenarios. Use of jargon, understatement of benefits and failure to state potential risks were the key observations in the AI-generated ICD.ConclusionIt is likely that LLMs can enhance the identification of potential ethical issues in clinical research, and they can be used as an adjunct tool to prescreen research proposals and enhance the efficiency of an IRB. (shrink)

University Campuses remain important settings for nurturing and supporting student health and quality of life. Research shows the health benefits of nature experiences may be facilitated by campus spaces and activities that afford connectedness. Connectedness to nature, others, and self may allow students to cope with mental fatigue, stress, and a constant need for restoration. Despite recent encouraging trends, we still lack an integrative conceptual framework to describe the mechanisms involved in achieving connectedness for making recommendations for campus design. In (...) this conceptual review, we examine students’ connectedness in campus settings in relation to biophilic elements and attributes. We aim to understand how both direct and indirect pursuits in nature and also place-based experiences on campus foster connectedness and consequently impact students’ health and QoL. Our analysis shows that connectedness seen through the lens of Kellert’s biophilic design principles and aided by Alexander’s pattern language provides a relational and long-term perspective on recommending strategies for connecting students to nature, to others, and to themselves in campus settings. (shrink)

We conduct an experiment to investigate the joint effects of advisor reassurance and advice source in enhancing the impact of advice on auditors’ whistleblowing propensity. Participants from a Big 4 firm assess the likelihood that a questionable act involving a superior will be reported, both before and after receiving advice. We manipulate, between-participants, the advice source and advisor reassurance on the firm’s policy on whistleblower protection, holding constant the advice recommendation. Our study is underpinned by the premise that moral agents (...) may require an impetus to do the right thing in the form of advice whose effects may vary by its source and nature. Results are consistent with our hypothesis. Specifically, while auditors’ propensity to report a questionable act increases after receiving advice, the increase is significantly higher when the advice is received with reassurance on whistleblower protection than without reassurance, with the effect of reassurance being greater when the advice is from an authoritative source than from a non-authoritative source. These results underscore the importance of advice in promoting whistleblowing and demonstrate how the impact of advice is jointly determined by its source and reassurance on whistleblower protection. (shrink)

Emotions are multimodal processes that play a crucial role in our everyday lives. Recognizing emotions is becoming more critical in a wide range of application domains such as healthcare, education, human-computer interaction, Virtual Reality, intelligent agents, entertainment, and more. Facial macro-expressions or intense facial expressions are the most common modalities in recognizing emotional states. However, since facial expressions can be voluntarily controlled, they may not accurately represent emotional states. Earlier studies have shown that facial micro-expressions are more reliable than facial (...) macro-expressions for revealing emotions. They are subtle, involuntary movements responding to external stimuli that cannot be controlled. This paper proposes using facial micro-expressions combined with brain and physiological signals to more reliably detect underlying emotions. We describe our models for measuring arousal and valence levels from a combination of facial micro-expressions, Electroencephalography (EEG) signals, galvanic skin responses (GSR), and Photoplethysmography (PPG) signals. We then evaluate our model using the DEAP dataset and our own dataset based on a subject-independent approach. Lastly, we discuss our results, the limitations of our work, and how these limitations could be overcome. We also discuss future directions for using facial micro-expressions and physiological signals in emotion recognition. (shrink)