Purpose This study advances a reconceptualization of data and information which overcomes normative understandings often contained in data policies at national and international levels. This study aims to propose a conceptual framework that moves beyond subject- and collective-centric normative understandings. Design/methodology/approach To do so, this study discusses the European Union (EU) and China’s approaches to data-driven technologies highlighting their similarities and differences when it comes to the vision underpinning how tech innovation is shaped. Findings Regardless of the (...) different attention to the subject (the EU) and the collective (China), the normative understandings of technology by both actors remain trapped into a positivist approach that overlooks all that is not and cannot be turned into data, thus hindering the elaboration of a more holistic ecological thinking merging humans and technologies. Originality/value Revising the philosophical and political debate on data and data-driven technologies, a third way is elaborated, i.e. federated data as commons. This third way puts the subject as part by default of a collective at the centre of discussion. This framing can serve as the basis for elaborating sociotechnical alternatives when it comes to define and regulate the mash-up of humans and technology. (shrink)

In various official documents, the European Union has declared its goal to pursue a citizen-centric governance of digital transformation. Through a critical review of several of these documents, here we show how “citizen-centric” is more a glamouring than a driving concept. De facto, the EU is enabling a federated data system that is corporate-driven, economic-oriented, and GDPR-compliant; in other words, a Digital Single Market (DSM). This leaves out societal and collective-level dimensions of digital transformation—such as social inclusion, digital sovereignty, (...) and environmental sustainability—which are acknowledged, but not operationalized, by the EU as pillars of a citizen-centric governance. Hence, the door is open to a complementary approach to the governance of digital transformation. We argue that, while a federated data model can constitute the tech-legal backbone of the emerging DSM, a commoning of data, as an ecosystemic approach that maintains a societal and collective outlook by default, can represent a complement to enact a truly citizen-centric governance. (shrink)

Purpose The purpose of this paper is to explore the epistemological tensions embedded within big data and data-driven technologies to advance a socio-political reconsideration of the public dimension in the assessment of their implementation. Design/methodology/approach This paper builds upon (and revisits) the European Union’s (EU) normative understanding of artificial intelligence (AI) and data-driven technologies, blending reflections rooted in philosophy of technology with issues of democratic participation in tech-related matters. Findings This paper proposes the conceptual design of sectorial (...) and/or local-level e-participation platforms to ignite an ongoing discussion – involving experts, private actors, as well as cognizant citizens – over the implementation of data-driven technologies, to avoid siloed, tech-solutionist decisions. Originality/value This paper inscribes the EU’s normative approach to AI and data-driven technologies, as well as critical work on the governance of these technologies, into a broader political dimension, suggesting a way to democratically and epistocratically opening up the decisional processes over the development and implementation of these technologies and turn such processes into a systemic civic involvement. (shrink)

As more national governments adopt policies addressing the ethical implications of artificial intelligence, a comparative analysis of policy documents on these topics can provide valuable insights into emerging concerns and areas of shared importance. This study critically examines 57 policy documents pertaining to ethical AI originating from 24 distinct countries, employing a combination of computational text mining methods and qualitative content analysis. The primary objective is to methodically identify common themes throughout these policy documents and perform a comparative analysis of (...) the ways in which various governments give priority to crucial matters. A total of nineteen topics were initially retrieved. Through an iterative coding process, six overarching themes were identified: principles, the protection of personal data, governmental roles and responsibilities, procedural guidelines, governance and monitoring mechanisms, and epistemological considerations. Furthermore, the research revealed 31 ethical dilemmas pertaining to AI that had been overlooked previously but are now emerging. These dilemmas have been referred to in different extents throughout the policy documents. This research makes a scholarly contribution to the expanding field of technology policy formulations at the national level by analyzing similarities and differences among countries. Furthermore, this analysis has practical ramifications for policymakers who are attempting to comprehend prevailing trends and potentially neglected domains that demand focus in the ever-evolving field of artificial intelligence. (shrink)

Should you be targeted by police for a crime that AI predicts you will commit? In this paper, we analyse when, and to what extent, the person-based predictive policing (PP) — using AI technology to identify and handle individuals who are likely to breach the law — could be justifiably employed. We first examine PP’s epistemological limits, and then argue that these defects by no means refrain from its usage; they are worse in humans. Next, based on major AI (...) class='Hi'>ethics guidelines (IEEE, EU, and RIKEN, etc.), we refine three basic moral principles specific to person-based PP. We also derive further requirements from case studies, including debates in Chicago, New Orleans, San Francisco, Tokyo, and cities in China. Instead of rejecting PP programs, we analyse what necessary conditions should be met for using the tool to achieve social good. While acknowledging its risks, we conclude that the person-based PP could be beneficial in community policing, especially when merging into a larger governance framework of the social safety net. (shrink)

In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence. In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a ‘good AI society’. To do so, we examine how each report addresses the following three topics: the development of a ‘good (...) AI society’; the role and responsibility of the government, the private sector, and the research community in pursuing such a development; and where the recommendations to support such a development may be in need of improvement. Our analysis concludes that the reports address adequately various ethical, social, and economic topics, but come short of providing an overarching political vision and long-term strategy for the development of a ‘good AI society’. In order to contribute to fill this gap, in the conclusion we suggest a two-pronged approach. (shrink)

Data sharing – broadly defined as the exchange of health-related data among multiple controllers and processors – has gained increased relevance in the health sciences over recent years as the need and demand for collaboration has increased. This includes data obtained through healthcare provisions, clinical trials, observational studies, public health surveillance programs, and other data collection methods. The practice of data sharing presents several notable challenges, however. Compliance with a complex and dynamic regulatory framework is (...) essential, with the General Data Protection Regulation being a prominent example in a European context. Recent regulatory developments related to clinical trial transparency, trade secrecy, data access, AI training data, and health data spaces further contribute to the difficulties. Simultaneously, government initiatives often encourage scientists to embrace principles of “open data” and “open innovation.” The variety of regulations in this domain has the potential to impede widespread data sharing and hinder innovation. This edited volume, therefore, compiles comparative case studies authored by leading scholars from diverse disciplines and jurisdictions. The book aims to outline the legal complexities of data sharing. By examining real-world scenarios from diverse disciplines and a global perspective, it explores the normative, policy, and ethical dilemmas that surround data sharing in the health sciences today. Chapter Patient Perspectives on Data Sharing, Chapter Supplementary Measures and Appropriate Safeguards for International Transfers of Health Data after Schrems II are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. (shrink)

Publication ethics is an important aspect of both the research and publication enterprises. It is particularly important in the field of biomedical science because published data may directly affect human health. In this article, we examine publication ethics policies in biomedical journals published in Central and Eastern Europe. We were interested in possible differences between East European countries that are members of the European Union (Eastern EU) and South-East European countries (South-East Europe) that are not members of (...) the European Union.The most common ethical issues addressed by all journals in the region were redundant publication, peer review process, and copyright or licensing details. Image manipulation, editors’ conflicts of interest and registration of clinical trialswere the least common ethical policies. Three aspects were significantly morecommon in journals published outside the EU: statements on the endorsement of international editorial standards, contributorship policy, and image manipulation.On the other hand, copyright or licensing information were more prevalent in journals published in the Eastern EU. The existence of significant differences amongbiomedical journals’ ethical policies calls for further research and active measuresto harmonize policies across journals. On the other hand, copyright or licensing information were more prevalent in journals published in the Eastern EU. The existence of significant differences among biomedical journals’ ethical policies calls for further research and active measures to harmonize policies across journals. (shrink)

BackgroundHealth data-driven activities have become central in diverse fields (research, AI development, wearables, etc.), and new ethical challenges have arisen with regards to privacy, integrity, and appropriateness of use. To ensure the protection of individuals’ fundamental rights and freedoms in a changing environment, including their right to the protection of personal data, we aim to identify the ethical approaches adopted by scientists during intensive data exploitation when collecting, using, or sharing peoples’ health data.MethodsTwelve scientists who were (...) collecting, using, or sharing health data in different contexts in Sweden, were interviewed. We used systematic expert interviews to access these scientists’ specialist knowledge, and analysed the interviews with thematic analysis. Phrases, sentences, or paragraphs through which ethical values and norms were expressed, were identified and coded. Codes that reflected similar concepts were grouped, subcategories were formulated, and categories were connected to traditional ethical approaches.ResultsThrough several examples, the respondents expressed four different ethical approaches, which formed the main conceptual categories: consideration of consequences, respect for rights, procedural compliance, and being professional.ConclusionsTo a large extent, the scientists’ ethical approaches were consistent with ethical and legal principles. Data sharing was considered important and worth pursuing, even though it is difficult. An awareness of the complex issues involved in data sharing was reflected from different perspectives, and the respondents commonly perceived a general lack of practical procedures that would by default ensure ethical and legally compliant data collection and sharing. We suggest that it is an opportune time to move on from policy discussions to practical technological ethics-by-design solutions that integrate these principles into practice. (shrink)

This article provides a critical review of new policies in China, the United States, and the European Union that characterize genomic data as a national strategic resource. Specifically, we review policies that regulate human genomic data for economic, national security, or other strategic purposes rather than ethical or individual rights purposes.

Policy and guideline proposals for ethical artificial intelligence research have proliferated in recent years. These are supposed to guide the socially-responsible development of AI for a common good. However, there typically exist incentives for non-cooperation ; and, these proposals often lack effective mechanisms to enforce their own normative claims. The situation just described constitutes a social dilemma—namely, a situation where no one has an individual incentive to cooperate, though mutual cooperation would lead to the best outcome for all involved. In (...) this paper, we use stochastic evolutionary game dynamics to model this social dilemma in the context of the ethical development of artificial intelligence. This formalism allows us to isolate variables that may be intervened upon, thus providing actionable suggestions for increased cooperation amongst numerous stakeholders in AI. Our results show how stochastic effects can help make cooperation viable in such a scenario. They suggest that coordination for a common good should be attempted in smaller groups in which the cost of cooperation is low, and the perceived risk of failure is high. This provides insight into the conditions under which we should expect such ethics proposals to be successful with regard to their scope, scale, and content. (shrink)

KEY POINTS In Canada, commercial data brokers collect deidentified patient data from pharmacies, private drug insurers, the federal government and medical clinics without patient consent. Although pharmaceutical companies are the data brokers’ primary customers, academics and nonprofit and public entities also use commercial data sets, given the absence of a coordinated public approach to collecting these data across Canada. Risks of commercialized patient data include loss of anonymity, surveillance and marketing, discrimination and violation of (...) Indigenous data sovereignty. Coordinated infrastructure for the collection and coordination of health data across Canada and updated privacy legislation would protect individuals and communities and enable appropriate data uses. (shrink)

The article examines the key conclusions and recommendations to candidate countries and potential candidates for accession, set out by the European Commission in the annual Communication on the EU enlargement policy in 2022. For better understanding of the essence of the Commission’s Communication, this article the author analyses the realities faced by the EU with the beginning of the Russian Federation’s full-scale war against Ukraine. According to scholars and experts, the war changed Europe more profoundly than any event since the (...) end of the Cold War. It is found that the war clearly emphasized the attractiveness of EU membership and strengthened its transformative power, which was formed thanks to the values, diversity of the societies of the Member States, fundamental freedoms and way of life of the Union. In this context, one can agree with the statement of scholars that the real challenges that the EU cannot avoid if it wants to become more authoritative and strategically autonomous are the strengthening, not the weakening of the European level (institutional and legal systems, common EU policies) under a strict democratic control. The analysis of the conclusions and recommendations in the Commission’s Communication allowed us to conclude that after the Russian invasion of Ukraine, the policy of EU enlargement was returned to the forefront of the EU’s agenda. Evidence of this was, firstly, granting the status of a candidate for accession to Ukraine and Moldova and a potential candidate – to Georgia, and, secondly, a joint search by the EU and its Member States for ways to activate and speed up the process of European integration of the countries of the Western Balkans region. In addition, it should be noted that the cross-cutting themes of the Commission’s conclusions and recommendations are EU security and energy policy, key areas of the Green Course, in particular decarbonization of the economy, as well as the issue of recovery after the COVID-19 pandemic. A separate emphasis in the Commission’s Communication is placed on the reforms continued by the countries of the Western Balkans, which are necessary to fulfill the accession criteria. (shrink)

Digital Earth applications provide a common ground for visualizing, simulating, and modeling real-world situations. The potential of Digital Earth applications has increased significantly with the evolution of artificial intelligence systems and the capacity to collect and process complex amounts of geospatial data. Yet, the widespread techno-optimism at the root of Digital Earth must now confront concerns over high-risk artificial intelligence systems and power asymmetries of a datafied society. In this commentary, we claim that not only can current debates about (...) data governance and ethical artificial intelligence inform development in the field of Digital Earth, but that the specificities of geospatial data, together with the expectations surrounding Digital Earth applications, offer a fruitful lens through which to examine current debates on data governance and artificial intelligence ethics. In particular, we argue that for the implementation of ethical artificial intelligence and inclusive approaches to data governance, Digital Earth initiatives need to involve stakeholders and communities at the local level and be sensitive to social, legal, cultural, and institutional contexts, including conflicts that might arise within those contexts. (shrink)

Nowadays, Artificial Intelligence (AI) is present in all sectors of the economy. Consequently, both data-the raw material used to build AI systems- and AI have an unprecedented impact on society and there is a need to ensure that they work for its benefit. For this reason, the European Union has put data and trustworthy AI at the center of recent legislative initiatives. An important element in these regulations is transparency, understood as the provision of information to relevant stakeholders (...) to support their understanding of AI systems and data throughout their lifecycle. In recent years, an increasing number of approaches for documenting AI and datasets have emerged, both within academia and the private sector. In this work, we identify the 36 most relevant ones from more than 2200 papers related to trustworthy AI. We assess their relevance from the angle of European regulatory objectives, their coverage of AI technologies and economic sectors, and their suitability to address the specific needs of multiple stakeholders. Finally, we discuss the main documentation gaps found, including the need to better address data innovation practices (e.g. data sharing, data reuse) and large-scale algorithmic systems (e.g. those used in online platforms), and to widen the focus from algorithms and data to AI systems as a whole. (shrink)

Harms and risks to groups and third-parties can be significant in the context of research, particularly in data-centric studies involving genomic, artificial intelligence, and/or machine learning technologies. This article explores whether and how United States federal regulations should be adapted to better align with current ethical thinking and protect group interests. Three aspects of the Common Rule deserve attention and reconsideration with respect to group interests: institutional review board (IRB) assessment of the risks/benefits of research; disclosure requirements in the (...) informed consent process; and criteria for waivers of informed consent. In accordance with respect for persons and communities, investigators and IRBs should systematically consider potential group harm when designing and reviewing protocols, respectively. Research participants should be informed about any potential group harm in the consent process. We call for additional public discussion, empirical research, and normative analysis on these issues to determine the right regulatory and policy path forward. (shrink)

This study investigated the business ethics experiences of Australian managers in China, using qualitative methodology to identify themes. Thirty-one Australian managers who had spent on average 8.7 years working in business connected to China participated in in-depth interviews regarding their business ethics experiences in China. Commonly, managers identified issues relating to a broad spectrum which could be labelled "bribery and facilitation". Other repeated themes included requests for visa assistance, employee theft, nepotism and non-adherence to contractual obligations. This study (...) has important implications for helping Australian managers improve the way they approach potential ethical situations in China. Four key coping strategies can be identified from the data: managers spoke of not compromising their own morals, of attempting to understand the motivation of Chinese colleagues, of talking to others and of adhering to company policy. These strategies suggest practical steps may be taken by organisations when training managers for business activities in China. In particular, structuring of mentoring relationships between experienced and less experienced practitioners may be of assistance. Cultural training for managers and clear company policy on contentious issues such as bribery may also be of benefit. The themes identified in the study also have implications for academics researching expatriate business peoples' experiences in China. (shrink)

This article explores the tensions between cosmopolitanism and sovereignty as a means to conceptualize the ethics of European foreign policy. It starts by discussing the claim that, in order for the EU to play a meaningful role as an international actor, a definition of the common ethical values orienting its political conduct is required. The question of a European federation of states and its ethical conceptualization emerges clearly in some of the philosophical writings of the 17th and 18th centuries. (...) I seek to provide an outline of the main arguments presented by authors such as Saint Pierre, Rousseau and Kant regarding the implications of the emerging difference between cosmopolitanism and the law of nations in the ethics of international relations. The article focuses on the normative significance of the concept of sovereignty as it emerges in modern political philosophy and highlights its tensions with the ideas of moral and political cosmopolitanism. This exploration serves a double function: theoretical and practical. From the theoretical perspective it leads to a better understanding of the tensions involved in conceptualizing a common ethical orientation for the states of Europe. From the practical standpoint it sheds light on some persistent difficulties the European Union faces in trying to move beyond an intergovernmental political arrangement in the field of foreign policy. (shrink)

This paper assesses leading Japanese philosophical thought since the onset of Japan’s modernity: namely, from the Meiji Restoration onwards. It argues that there are lessons of global value for AI ethics to be found from examining leading Japanese philosophers of modernity and ethics, each of whom engaged closely with Western philosophical traditions. Turning to these philosophers allows us to advance from what are broadly individualistically and Western-oriented ethical debates regarding emergent technologies that function in relation to AI, by (...) introducing notions of community, wholeness, sincerity, and heart. With reference to AI that pertains to profile, judge, learn, and interact with human emotion, this paper contends that Japan itself may internally make better use of historic indigenous ethical thought, especially as it applies to question of data and relationships with technology; but also that externally Western and global ethical discussion regarding emerging technologies will find valuable insights from Japan. The paper concludes by distilling from Japanese philosophers of modernity four ethical suggestions, or spices, in relation to emerging technological contexts for Japan’s national AI policies and international fora, such as standards development and global AI ethics policymaking. (shrink)

This article argues that the practical difficulties and normative dilemmas at stake in the European refugee crisis as a crisis of EU integration extend beyond refugee policies into what we may call ‘the citizenship regime’ of the European Union in ways that are consequential for refugees, member states, and the European Union. It advances arguments for the relatively rapid access to citizenship of refugees, demonstrates that this norm has at least some acknowledgment in the policies of EU member states and (...) considers what further differentiation of refugees from other classes of migrant might be a part of developing a just and legitimate Common European Asylum Regime. It argues that there are some reasons to favour a CEAS in which refugees receive EU citizenship prior to national citizenship in a member state. (shrink)

Aims To examine the understanding of the ethical dilemmas associated with Big Data and artificial intelligence (AI) among Jordanian medical students, physicians in training, and senior practitioners. Methods We implemented a literature-validated questionnaire to examine the knowledge, attitudes, and practices of the target population during the period between April and August 2023. Themes of ethical debate included privacy breaches, consent, ownership, augmented biases, epistemology, and accountability. Participants’ responses were showcased using descriptive statistics and compared between groups using t-test or (...) ANOVA. Results We included 466 participants. The greater majority of respondents were interns and residents (50.2%), followed by medical students (38.0%). Most participants were affiliated with university institutions (62.4%). In terms of privacy, participants acknowledged that Big Data and AI were susceptible to privacy breaches (39.3%); however, 59.0% found such breaches justifiable under certain conditions. For ethical debacles involving informed consent, 41.6% and 44.6% were aware that obtaining informed consent posed an ethical limitation in Big Data and AI applications and denounced the concept of “broad consent”, respectively. In terms of ownership, 49.6% acknowledged that data cannot be owned yet accepted that institutions could hold a quasi-control of such data (59.0%). Less than 50% of participants were aware of Big Data and AI’s abilities to augment or create new biases in healthcare. Furthermore, participants agreed that researchers, institutions, and legislative bodies were responsible for ensuring the ethical implementation of Big Data and AI. Finally, while demonstrating limited experience with using such technology, participants generally had positive views of the role of Big Data and AI in complementing healthcare. Conclusion Jordanian medical students, physicians in training and senior practitioners have limited awareness of the ethical risks associated with Big Data and AI. Institutions are responsible for raising awareness, especially with the upsurge of such technology. (shrink)

The explosion of data grows at a rate of roughly five trillion bits a second, giving rise to greater urgency in conceptualizing the infosphere and understanding its implications for knowledge and public policy. Philosophers of technology and information technologists alike who wrestle with ontological and epistemological questions of digital information tend to emphasize, as Floridi does, information as our new ecosystem and human beings as interconnected informational organisms, inforgs at home in ambient intelligence. But the linguistic and conceptual representations (...) of Big Data—the massive volume of both structured and unstructured data—and the real world practice of data-mining for patterns and meaningful interpretation of evidence reveal tension and ambiguity in the bold promise of data analytics. This paper explores the tacit epistemology of the rhetoric and representation of Big Data and suggests a richer account of its ambiguities and the paradox of its real world materiality. We argue that Big Data should be recognized as manifesting multiple and conflicting trajectories that reflect human intentionality and particular patterns of power and authority. Such patterns require attentive exploration and moral appraisal if we are to resist simplistic informationist ontologies of Big Data, and the subtle forms of control in the political ecology of Big Data that undermine its promise as transformational knowledge. (shrink)

Publication ethics is an important aspect of both the research and publication enterprises. It is particularly important in the field of biomedical science because published data may directly affect human health. In this article, we examine publication ethics policies in biomedical journals published in Central and Eastern Europe. We were interested in possible differences between East European countries that are members of the European Union and South-East European countries that are not members of the European Union. The (...) most common ethical issues addressed by all journals in the region were redundant publication, peer review process, and copyright or licensing details. Image manipulation, editors’ conflicts of interest and registration of clinical trials were the least common ethical policies. Three aspects were significantly more common in journals published outside the EU: statements on the endorsement of international editorial standards, contributorship policy, and image manipulation. On the other hand, copyright or licensing information were more prevalent in journals published in the Eastern EU. The existence of significant differences among biomedical journals’ ethical policies calls for further research and active measures to harmonize policies across journals. (shrink)

Artificial Intelligence (AI) is already having a major impact on society. As a result, many organizations have launched a wide range of initiatives to establish ethical principles for the adoption of socially beneficial AI. Unfortunately, the sheer volume of proposed principles threatens to overwhelm and confuse. How might this problem of ‘principle proliferation’ be solved? In this paper, we report the results of a fine-grained analysis of several of the highest-profile sets of ethical principles for AI. We assess whether these (...) principles converge upon a set of agreed-upon principles, or diverge, with significant disagreement over what constitutes ‘ethical AI.’ Our analysis finds a high degree of overlap among the sets of principles we analyze. We then identify an overarching framework consisting of five core principles for ethical AI. Four of them are core principles commonly used in bioethics: beneficence, non-maleficence, autonomy, and justice. On the basis of our comparative analysis, we argue that a new principle is needed in addition: explicability, understood as incorporating both the epistemological sense of intelligibility (as an answer to the question ‘how does it work?’) and in the ethical sense of accountability (as an answer to the question: ‘who is responsible for the way it works?’). In the ensuing discussion, we note the limitations and assess the implications of this ethical framework for future efforts to create laws, rules, technical standards, and best practices for ethical AI in a wide range of contexts. (shrink)

In today’s America the persistence of crushing poverty in the midst of staggering affluence no longer incites the righteous jeremiads it once did. Resigned acceptance of this paradox is fueled by a sense that poverty lies beyond the moral and technical scope of government remediation. The failure of experts to reach agreement on the causes of poverty merely exacerbates our despair. Are the causes internal to the poor – reflecting their more or less voluntary choices? Or do they emanate from (...) structures beyond their control? If both of these explanations are true, poverty experts will need to shift their focus to a hitherto under-theorized concept: coercion. I defend this claim by appealing to distinct areas of philosophical inquiry: social epistemology and moral theory. Poverty knowledge is directly related to both of these inquiries. The aim of poverty knowledge is clearly moral: to reduce suffering and to empower the weak. While the former aim is grounded in utilitarian thinking, the latter aim is grounded in the social contractarian insight that poverty is unjustly coercive, imposing excessive limits on the opportunities and choices of the poor that render them vulnerable to domination by others. Equally obvious is the social nature of poverty knowledge. All knowledge depends on the reliable testimony of others. Poverty knowledge not only ostensibly offers us the most reliable, scientific beliefs about the causes and effects of poverty, thereby determining how we morally judge the poor and their poverty, but it reciprocally bases its understanding of poverty on what the poor themselves have to say about it. What unites both social epistemology and moral theory – at least the social contract variants I will be examining here – is concern about the limits and possibilities of rational choice. As poverty knowledge came of age in the fifties and sixties, it absorbed the language of rational choice prevalent in economics, especially the Keynesian economics whose moral underpinnings can be found in Rawlsian social contract theory. Echoing a different economic theory supported by a different, more libertarian, brand of social contract theory, poverty expertise in the eighties continued to use an abstract model of rational choice. I submit that, in both early and later epochs of poverty expertise, reliance on rational choice reasoning prevented poverty experts from appreciating the coercive impact of poverty on the poor. Social epistemology explains this failure by demonstrating the poverty of rational choice thinking and its mistaken reliance on inflated commonsense expectations about the capacity of individuals to calculate their long-term interests, free from the distortions of social bias. Social epistemology not only exhibits the dangers of not relying on expert testimony, but it also exhibits the dangers of relying on an unreliable source of expert testimony that has removed itself from its human subject matter. In order for poverty experts to become more reliable educators about poverty’s coercive impact on the poor they must return to their discipline’s social epistemological roots. Only a more descriptive and explanatory sociology can narrate a comprehensive story about how the lived experience of poverty relates to the larger social system. The social contractarian model best suited to underwriting this kind of poverty knowledge, I submit, is the discourse theoretic model that has been championed by Jürgen Habermas. When applied as a pedagogical method of dialog and not as a social contractarian model of rational normative consent, discourse theory highlights the unique epistemological advantages of empathetic understanding that are so essential to dispelling stereotypes about the poor. Dispelling these stereotypes is the first step toward respecting the poor as free agents who are nonetheless forced to make suboptimal choices. My defense of these claims proceeds as follows: Part One argues that poverty expertise rightly deserves the opprobrium critics have heaped on it. The charge – leveled by progressives and conservatives alike - that such expertise is ideological is true to the extent that poverty knowledge has all-too-easily accommodated the political aims of the agency that has funded it: the federal government. The shift from the war on poverty to the war on the poor – and the resulting shift from blaming poverty on economic structures to blaming it on the culture of poverty – would not have been possible without an increased emphasis on data gathering aimed at measuring poverty rather than describing it. Part Two assesses the consequences of turning away from qualitative research to statistical analysis: the coercive nature of poverty becomes invisible beneath the surface of aggregate individual choices. The failure to grasp how voluntary choices, ostensibly based on rational, self-interested calculations, can be coerced by social structures - and thereby lead to sub-optimizing behavior – invites the conclusion that the poor have only themselves to blame for their misery. Part Three suggests that this pathologization of the poor directly controverts the major aim of poverty research: to empower the poor as free and equal parties to the social contract. I argue that the different varieties of social contract theory that have justified poverty expertise over the last forty years – the welfarist model pioneered by Rawls and the market-based model defended by Nozick – embrace the same rational choice models favored by poverty experts and so conspire with the latter in neglecting important dimensions of poverty-related coercion. While the welfarist model conceals the coercive nature of bureaucratically administered entitlement programs and top-down urban renewal policies, the market-based model conceals the coercive nature of economic class structures. The discourse-theoretic alternative proposed by Habermas endorses a populist, democratic response to the overly abstract rational choice assumptions embedded in these other models. Despite this advance over its counterparts, the chief advantage of discourse theory for poverty knowledge, I submit, resides less in its proposed procedure of rational collective choice than in its heuristic as a dialogical method of social learning. I demonstrate this claim in Part Four, where I turn to the social epistemological insights of Allen Buchanan. Social epistemology offers a much needed corrective to theories of knowledge that rely on the reasoning capacities of isolated individuals. By stressing the connection between moral response and social belief, on one hand, and the dependence of social belief on epistemic authorities, on the other, social epistemologists suggest ways in which we can learn to distinguish reliable from unreliable authorities and become aware of our own error-prone cognitive proclivities. Their insights need to be supplemented by moral epistemologists who stress the affective dimension of knowledge, above all, the role that empathy plays in understanding the plight of others. Drawing from victim narratives, Diana Meyers shows that switching between first-person experiences of one's own and third-person reconstructions of others' experiences is essential to appreciating the gravity of human rights violations and the seriousness of human rights claims. It goes without saying that such empathy is just as essential to understanding the plight of the poor. Meyers mainly has in mind empathetic understanding that has been facilitated by third-person observation and literary encounter, but the importance of visceral and corporeal representation suggests that face-to-face dialog may sometimes be a more effective way to facilitate empathetic understanding. (shrink)

Privacy is protected in biobank-based research in the US primarily by the Health Insurance Portability and Accountability Act Privacy Rule and the Federal Policy for Protection of Human Subjects. Neither rule, however, was created to function in the unique context of biobank research, and therefore neither applies to all biobank-based research. Not only is it challenging to determine when the HIPAA Privacy Rule or the Common Rule apply, but these laws apply different standards to protect privacy. In addition, many other (...) federal and state laws may be applicable to a particular biobank, researcher, or project. US law also does not directly address international sharing of data or specimens outside of the EU–US Safe Harbor Agreement, which only applies to receipt of data by certain US entities from EU countries, and is in the process of revision. Although new rules would help clarify privacy protections in biobanking, any implemented changes should be studied to determine the sufficiency of the protections as well as its ability to facilitate or hinder international collaborations. (shrink)

Purpose As Big Data and Artificial Intelligence (AI) proliferate, calls have emerged for ethical reflection. Ethics guidelines have played a central role in this respect. While quantitative research on the ethics guidelines of AI/Big Data has been undertaken, there has been a dearth of systematic qualitative analyses of these documents. Design/methodology/approach Aiming to address this research gap, this paper analyses 70 international ethics guidelines documents from academia, NGOs and the corporate realm, published between 2017 and (...) 2020. Findings The article presents four key findings: existing ethics guidelines (1) promote a broad spectrum of values; (2) focus principally on AI, followed by (Big) Data and algorithms; (3) do not adequately define the term “ethics” and related terms; and (4) have most frequent recourse to the values of “transparency,” “privacy,” and “security.” Based on these findings, the article argues that the guidelines corpus exhibits discernible utilitarian tendencies; guidelines would benefit from greater reflexivity with respect to their ethical framework; and virtue ethical approaches have a valuable contribution to make to the process of guidelines development. Originality/value The paper provides qualitative insights into the ethical discourse surrounding AI guidelines, as well as a concise overview of different types of operative translations of theoretical ethical concepts vis-à-vis the sphere of AI. These may prove beneficial for (applied) ethicists, developers and regulators who understand these guidelines as policy. (shrink)

BackgroundIncreasingly, hospitals and research institutes are developing technical solutions for sharing patient data in a privacy preserving manner. Two of these technical solutions are homomorphic encryption and distributed ledger technology. Homomorphic encryption allows computations to be performed on data without this data ever being decrypted. Therefore, homomorphic encryption represents a potential solution for conducting feasibility studies on cohorts of sensitive patient data stored in distributed locations. Distributed ledger technology provides a permanent record on all transfers and (...) processing of patient data, allowing data custodians to audit access. A significant portion of the current literature has examined how these technologies might comply with data protection and research ethics frameworks. In the Swiss context, these instruments include the Federal Act on Data Protection and the Human Research Act. There are also institutional frameworks that govern the processing of health related and genetic data at different universities and hospitals. Given Switzerland’s geographical proximity to European Union (EU) member states, the General Data Protection Regulation (GDPR) may impose additional obligations.MethodsTo conduct this assessment, we carried out a series of qualitative interviews with key stakeholders at Swiss hospitals and research institutions. These included legal and clinical data management staff, as well as clinical and research ethics experts. These interviews were carried out with two series of vignettes that focused on data discovery using homomorphic encryption and data erasure from a distributed ledger platform.ResultsFor our first set of vignettes, interviewees were prepared to allow data discovery requests if patients had provided general consent or ethics committee approval, depending on the types of data made available. Our interviewees highlighted the importance of protecting against the risk of reidentification given different types of data. For our second set, there was disagreement amongst interviewees on whether they would delete patient data locally, or delete data linked to a ledger with cryptographic hashes. Our interviewees were also willing to delete data locally or on the ledger, subject to local legislation.ConclusionOur findings can help guide the deployment of these technologies, as well as determine ethics and legal requirements for such technologies. (shrink)

“Follow the science” was commonly repeated during debates on COVID-19-related policy. The phrase “follow the science” raises questions that are central to our theories of knowledge and the application of scientific knowledge to maximize the wellbeing of our society. The purpose of this study was to (1) perform a scoping review of literature discussing “follow the science” and COVID-19, and (2) consider “follow the science” in the context of pediatric health. A comprehensive search of 14 databases was performed on May (...) 23, 2023. Articles were included if they used terms such as “follow the science”, “follow the scientists”, “listen to science” or “listen to scientists”, and discussed COVID-19. There were 24 articles included in the final review. Existing literature on “follow the science” (1) differentiates between scientific knowledge and policy decisions; (2) emphasizes the importance of social sciences in policy making; (3) calls for more transparency in the knowledge synthesis and policy generating process; and (4) finds that scientific advisors see their role as advising on science rather than policy decision making. There was no definitional, epistemological, or philosophical intellectual defense of “follow the science” in the peer reviewed literature. Policy requires (1) reliable data and (2) agreement on what to do considering those empirical facts by appealing to values, ethics, morality, and law. A review of school shutdowns is used as an example of the inadequacy of “follow the science” as a guiding principle for public policy. (shrink)

Artificial Intelligence (AI) contributes to common goods and common harms in our everyday lives. In light of the Collingridge dilemma, information about both the actual and potential harm of AI is explored and myths about AI are dispelled. Catholic health care is then presented as being in a unique position to exert its influence to model the use of AI systems that minimizes the risk of harm and promotes human flourishing and the common good.

We study the case of a Chinese industrial policy, implemented in Shanghai that makes it mandatory for car manufacturers to share electro-mechanical performance and real time navigation data from their entire fleet of electric and hybrid vehicles with local and central government authorities. This policy seeks to prevent fraud in state subsidies, reduce emissions, assess the performance of New Energy Vehicles and strengthen the competitiveness of Chinese manufacturers of these vehicles. We argue that economies of scope in data (...) aggregation may provide traditional market failure arguments in favor of government intervention and mandatory data pooling. Our paper illustrates how data access regimes could be used for economic competition. The EU and China pursue similar data sharing and pooling policy goals that hinge on economies of scope in data aggregation. However, they follow very different political processes to achieve these goals. (shrink)

The following article offers a brief overview of current nanotechnology policy, regulation and ethics in Europe and The People’s Republic of China with the intent of noting (dis)similarities in approach, before focusing on the involvement of the public in science and technology policy (i.e. participatory Technology Assessment). The conclusions of this article are, that (a) in terms of nanosafety as expressed through policy and regulation, China PR and the EU have similar approaches towards, and concerns about, nanotoxicity—the official debate (...) on benefits and risks is not markedly different in the two regions; (b) that there is a similar economic drive behind both regions’ approach to nanodevelopment, the difference being the degree of public concern admitted; and (c) participation in decision-making is fundamentally different in the two regions. Thus in China PR, the focus is on the responsibility of the scientist; in the EU, it is about government accountability to the public. The formulation of a Code of Conduct for scientists in both regions (China PR’s predicted for 2012) reveals both similarity and difference in approach to nanotechnology development. This may change, since individual responsibility alone cannot guide S&T development, and as public participation is increasingly seen globally as integral to governmental decision-making. (shrink)

The rise of neurotechnologies, especially in combination with artificial intelligence (AI)-based methods for brain data analytics, has given rise to concerns around the protection of mental privacy, mental integrity and cognitive liberty – often framed as “neurorights” in ethical, legal, and policy discussions. Several states are now looking at including neurorights into their constitutional legal frameworks, and international institutions and organizations, such as UNESCO and the Council of Europe, are taking an active interest in developing international policy and governance (...) guidelines on this issue. However, in many discussions of neurorights the philosophical assumptions, ethical frames of reference and legal interpretation are either not made explicit or conflict with each other. The aim of this multidisciplinary work is to provide conceptual, ethical, and legal foundations that allow for facilitating a common minimalist conceptual understanding of mental privacy, mental integrity, and cognitive liberty to facilitate scholarly, legal, and policy discussions. (shrink)

In the past few years, several democratic governments have published their National AI Strategies (NASs). These documents outline how AI technology should be implemented in the public sector and explain the policies that will ensure the ethical use of personal data. In this article, I examine these documents as political texts and reconstruct the political imaginary that underlies them. I argue that these documents intervene in contemporary democratic politics by suggesting that AI can help democracies overcome some of the (...) challenges they are facing. To achieve this, NASs use different kinds of imaginaries—democratic, sociotechnical and data—that help citizens envision how a future AI democracy might look like. As part of this collective effort, a new kind of relationship between citizens and governments is formed. Citizens are seen as autonomous data subjects, but at the same time, they are expected to share their personal data for the common good. As a result, I argue, a new kind of political imaginary is developed in these documents. One that maintains a human-centric approach while championing a vision of collective sovereignty over data. This kind of political imaginary can become useful in understanding the roles of citizens and governments in this technological age. (shrink)

Ethical decision-making frameworks assist in identifying the issues at stake in a particular setting and thinking through, in a methodical manner, the ethical issues that require consideration as well as the values that need to be considered and promoted. Decisions made about the use, sharing, and re-use of big data are complex and laden with values. This paper sets out an Ethics Framework for Big Data in Health and Research developed by a working group convened by the (...) Science, Health and Policy-relevant Ethics in Singapore Initiative. It presents the aim and rationale for this framework supported by the underlying ethical concerns that relate to all health and research contexts. It also describes a set of substantive and procedural values that can be weighed up in addressing these concerns, and a step-by-step process for identifying, considering, and resolving the ethical issues arising from big data uses in health and research. This Framework is subsequently applied in the papers published in this Special Issue. These papers each address one of six domains where big data is currently employed: openness in big data and data repositories, precision medicine and big data, real-world data to generate evidence about healthcare interventions, AI-assisted decision-making in healthcare, public-private partnerships in healthcare and research, and cross-sectoral big data. (shrink)

This paper conducts a comparative analysis of data governance mechanisms concerning the secondary use of health data in Taiwan and the European Union (EU). Both regions have adopted distinctive approaches and regulations for utilizing health data beyond primary care, encompassing areas such as medical research and healthcare system enhancement. Through an examination of these models, this study seeks to elucidate the strategies, frameworks, and legal structures employed by Taiwan and the EU to strike a delicate balance between (...) the imperative of data-driven healthcare innovation and the safeguarding of individual privacy rights. This paper examines and compares several key aspects of the secondary use of health data in Taiwan and the EU. These aspects include data governance frameworks, legal and regulatory frameworks, data access and sharing mechanisms, and privacy and security considerations. This comparative exploration offers invaluable insights into the evolving global landscape of health data governance. It provides a deeper understanding of the strategies implemented by these regions to harness the potential of health data while upholding the ethical and legal considerations surrounding its secondary use. The findings aim to inform best practices for responsible and effective health data utilization, particularly in the context of medical AI applications. (shrink)

Over the past year, technology companies have made headlines claiming that their artificially intelligent (AI) products can outperform clinicians at diagnosing breast cancer, brain tumours, and diabetic retinopathy. Claims such as these have influenced policy makers, and AI now forms a key component of the national health strategies in England, the United States, and China. While it is positive to see healthcare systems embracing data analytics and machine learning, concerns remain about the efficacy, ethics, and safety of some (...) commercial, AI health solutions. This paper argues that improved regulation and guidance is urgently required to mitigate risks, ensure transparency and best practice, Without this, patients, clinicians, and other stakeholders cannot be assured of an app’s efficacy, and safety. (shrink)

PurposeAs interest in technology ethics is increasing, so is the interest in bringing schools of ethics from non-Western philosophical traditions to the field, particularly when it comes to information and communication technology. In light of this development and recent publications that result from it, this paper aims to present responds critically to recent work on Confucian virtue ethics (CVE) and technology.Design/methodology/approachFour critiques are presented as theoretical challenges to CVE in technology, claiming that current literature insufficiently addresses: overall (...) applicability, collective ethics issues, epistemic overconfidence within technology corporations and amplification of epistemic overconfidence by the implementation of CVE. These challenges make use of general CVE literature and work on technology critique, political philosophy, epistemology and business ethics.FindingsImplementing CVE in technology may yield some benefits, but these may be outweighed by other outcomes, include strengthening hierarchies, widening inequities, increasing, rather than limiting, predictive activity, personal data collection, misinformation, privacy violations and challenges to the democratic process.Originality/valueThough not directly advocating against CVE, the paper reveals hitherto unidentified and serious issues that should be addressed before CVE are used to inform ethics guidelines or regulatory policies. It also serves as a foundation for further inquiry into how Eastern philosophy more broadly can inform technology ethics in the West. (shrink)

The escalating integration of Artificial Intelligence (AI) in clinical settings carries profound implications for the doctrine of informed consent, presenting challenges that necessitate immediate attention. China, in its advancement in the deployment of medical AI, is proactively engaging in the formulation of legal and ethical regulations. This paper takes China as an example to undertake a theoretical examination rooted in the principles of medical ethics and legal norms, analyzing informed consent and medical AI through relevant literature data. The (...) study reveals that medical AI poses fundamental challenges to the accuracy, adequacy, and objectivity of information disclosed by doctors, alongside impacting patient competency and willingness to give consent. To enhance adherence to informed consent rules in the context of medical AI, this paper advocates for a shift towards a patient‐centric information disclosure standard, the restructuring of medical liability rules, the augmentation of professional training, and the advancement of public understanding through educational initiatives. (shrink)

The European Union’s common agricultural policy (CAP), in addition to its primary production and farm income goals, is a large source of funding for environmentally friendly agricultural practices. However, its schemes have variable success and uptake across member states (MS) and regions. This study tries to explain these differences by demonstrating differences between policy levels in the understanding of the relationship between nature and farming. To compare constructs and values of the respective policy communities, their discursive construction as it appears (...) in the main strategic EU and MS agricultural policy documents is analysed. The theoretical framework integrates elements from existing frameworks of CAP and environmental discourse analysis; specific agri-environmental discourses, their elements and interplay, are identified. The six discourses suggested here are ‘Productivism’, ‘Classical neoliberal’, ‘Ecological modernisation’, ‘Administrative’, ‘Multifunctionality’ and ‘Radical green’. The discourse analysis of selected documents reveals that there are indeed differences in how farming and the environment are generally conceptualised at different levels of CAP decision-making. At EU level, farming is primarily understood as a sector whose main task is to produce food (‘Productivism’), and the environment is used as a justification for CAP payments (‘Multifunctionality’). At the national/regional level, Rural Development Programmes reflect different value systems: in England, environmental protection is mainly seen as sound management of natural capital (‘Classical neoliberal’); in Finland, a benefit for producers and conscious consumers (‘Ecological modernisation’); in Croatia, a necessity limiting productivity (‘Productivism’) and imposed by an external authority (‘Administrative’ discourse). This diversity shows that differences can visibly manifest despite the Commission constraining the discursive space, helping to explain the differential implementation and success of environmental measures. (shrink)

This article examines the ethnographic case study in education in the context of policy making with particular emphasis on the practice of research and policy making. The central claim of the article is that it is impossible to establish a transcendental epistemology of the case study on instrumental rationality. Instead it argues for the notion of situated judgement that needs to be made by practitioners in context, practitioners being both researchers and policy makers. In other words, questions about the level (...) of confidence or warrant that can be placed in different sorts of research evidence and findings cannot be answered independently of forming a view about the appropriateness of the policy culture that shapes political decision-making. The article draws a distinction between the general, which is internal to the data as construed by a particular discipline, and the universal, which is the result of embedded human deliberation. This applies to all research findings and not only to case study, although since case study has long had to defend itself against accusations of the lack of generality, it can be a useful starting point for the discussion. This article is not meant to be yet another defence of the case study research genre, although a summary of other defences is offered. Rather it focuses on how use of the case study points to the limits of epistemology as rationality and offers a view of epistemology as ethics. (shrink)

This research investigates firms’ bribery motivations in China. Based on resource dependence theory and anomie theory, we identify resource conditions as firms’ proactive motivation to bribe and firms’ perceived institutional environment as their passive motivation to bribe. We use the data from 2002 World Business Environment Survey, collected by the World Bank, to investigate firms’ bribery in the world’s largest emerging market, China. We employ a multi-level logistic model to test our hypotheses. The results show that unsatisfactory general and (...) task environmental conditions may trigger firms to bribe in order to compete for better resources and opportunities; institutional conditions such as the security expenditure and anomie climate may make firms perceive bribery as a common phenomenon and thus induce firms to bribe. This research provides some insights to understand business bribery behaviors in emerging market. It also discusses some managerial implications and guidelines for policy-making from the findings. (shrink)

This article examines the ethnographic case study in education in the context of policy making with particular emphasis on the practice of research and policy making. The central claim of the article is that it is impossible to establish a transcendental epistemology of the case study on instrumental rationality. Instead it argues for the notion of situated judgement that needs to be made by practitioners in context, practitioners being both researchers and policy makers. In other words, questions about the level (...) of confidence or warrant that can be placed in different sorts of research evidence and findings cannot be answered independently of forming a view about the appropriateness of the policy culture that shapes political decision-making. The article draws a distinction between the general, which is internal to the data as construed by a particular discipline, and the universal, which is the result of embedded human deliberation. This applies to all research findings and not only to case study, although since case study has long had to defend itself against accusations of the lack of generality, it can be a useful starting point for the discussion. This article is not meant to be yet another defence of the case study research genre, although a summary of other defences is offered. Rather it focuses on how use of the case study points to the limits of epistemology as rationality and offers a view of epistemology as ethics. (shrink)

The object of the study is artificial intelligence technology in Chinese show business. The subject of the study is the following technologies of Chinese show business, at the basis of which we can find an artificial intelligence: virtual idols, digital avatars, virtual influencers. The following aspects of these technologies are considered in detail: making a profit, strengthening national identity. Special attention is focused on the fact that the development of artificial intelligence technology is part of the state policy of the (...) People's Republic of China, which is reflected in the country's regulatory legal acts. The theoretical basis of the study is the work of the following authors: A.M. Gridnev, G. A. Ioakimidi, M. D. Pysin, K. F. Lee, H. Khan and others. The following methods are used in the article: analysis of special literature, publications of mass media, normative legal acts, synthesis, deduction. The study showed that virtual idols and influencers such as "Xiangwan Big Devil", digital copies of celebrities (B. Sa, S. Zhu, B. Gao, Ya. Long) and presenter Xiao Xi bring additional profits and attract an audience, as well as strengthen the national image and unity of China. The scientific novelty of this study lies in the detailed systematization of information and cultural analysis of the phenomenon of "virtual influencer", which is gaining popularity in the modern digital world. The results of the study provide valuable data for the development and implementation of artificial intelligence strategies in China, especially in such areas as industry, defense, social sphere and show business. These findings contribute to the formation of standards and ethical principles for artificial intelligence, which is critically important for the successful digital transformation of the country. The study highlights China's strategic goals of using AI as a driver of modernization of the national economy by 2030. The document identifies key stages of development and goals, including the development of standards and the widespread introduction of AI in various sectors. China views AI as an important tool to strengthen its position on the world stage, striving to become a leader in high technology, which will undoubtedly have a significant impact on the global economy and the development of technological innovations. (shrink)

Over the past three decades, two separate federal regulatory structures have emerged, each seeking to assure separate aspects of the integrity and ethics of research conducted using federal funding. One set of regulations is described in the Public Health Service Policies on Research Misconduct and relates to research misconduct, defined as consisting of fabrication of data or results, falsification of data and results, or plagiarism, in accordance with the federal‐wide definition adopted by the Office of Science and (...) Technology Policy. The second set of regulations, set forth in the Department of Health and Human Services regulations on the protection of human subjects (known as the “Common Rule”), prescribes a set of ethical and procedural protections for research involving human subjects.These two sets of research regulations are distinguished from each other by having different foci of enforcement, priorities of protection, oversight officials, oversight procedures, seizure of evidence, standards of proof, expectations of privacy, and appeal procedures for researchers who are subject to adverse findings and penalties. These differences are significant and fundamental. They complicate the process of compliance for institutions and researchers, who are expected to adhere to both sets of standards for the same federally funded research activities in research with human subjects. Compliance is especially complicated when suspected violations of both sets of standards must be investigated and resolved concurrently. This document represents an effort to provide institutions and individuals with practical suggestions as they try to comply with both sets of regulations. (shrink)

Scholars, policymakers and organizations in the EU, especially at the level of the European Commission, have turned their attention to the ethics of (trustworthy and human-centric) Artificial Intelligence (AI). However, there has been little reflexivity on (1) the history of the ethics of AI as an institutionalized phenomenon and (2) the comparison to similar episodes of “ethification” in other fields, to highlight common (unresolved) challenges.Contrary to some mainstream narratives, which stress how the increasing attention to ethical aspects of (...) AI is due to the fast pace and increasing risks of technological developments, Science and Technology Studies(STS)-informed perspectives highlight that the rise of institutionalized assessment methods indicates a need for governments to gain more control of scientific research and to bring EU institutions closer to the public on controversies related to emerging technologies.This article analyzes how different approaches of the recent past (i.e. bioethics, technology assessment (TA) and ethical, legal and social (ELS) research, Responsible Research and Innovation (RRI)) followed one another, often “in the name of ethics”, to address previous criticisms and/or to legitimate certain scientific and technological research programs. The focus is on how a brief history of the institutionalization of these approaches can provide insights into present challenges to the ethics of AI related to methodological issues, mobilization of expertise and public participation. (shrink)

This paper explores the role of ideology in attempts to influence public policy and in business representation in the EU–China solar panel anti-dumping dispute. It exposes the dynamics of international activity by emerging-economy multinationals, in this case from China, and their interactions in a developed-country context. Theoretically, the study also sheds light on the recent notion of ‘liability of origin’, in addition to the traditional concept of ‘liability of foreignness’ explored in international business research, in relation to firms’ market and (...) political strategies and their institutional embeddedness in home and host countries. Through a qualitative analysis of primary and secondary materials and interview data with key protagonists, we provide a detailed evolution of the case, the key actors involved and their positions, arguments and strategies. This illustrates the complexities involved in the interaction between markets and ideologies in the midst of debates regarding different forms of subsidy regimes for renewable energy, free trade versus protectionist tendencies by governments, and the economic and sustainability objectives of firms and societies. The case shows how relative newcomers to the EU market responded to overcome a direct threat to their business and became, with support from their home government, active participants in the public debate through interactions with local commercial partners and non-governmental organisations. Firms adopted relatively sophisticated strategies to reduce their liabilities vis-à-vis host-country institutions and local stakeholders, including collective action, to increase their legitimacy and reputation, and counter ideologically based attacks. We also discuss implications and limitations. (shrink)

The use of black box algorithms in medicine has raised scholarly concerns due to their opaqueness and lack of trustworthiness. Concerns about potential bias, accountability and responsibility, patient autonomy and compromised trust transpire with black box algorithms. These worries connect epistemic concerns with normative issues. In this paper, we outline that black box algorithms are less problematic for epistemic reasons than many scholars seem to believe. By outlining that more transparency in algorithms is not always necessary, and by explaining that (...) computational processes are indeed methodologically opaque to humans, we argue that the reliability of algorithms provides reasons for trusting the outcomes of medical artificial intelligence. To this end, we explain how computational reliabilism, which does not require transparency and supports the reliability of algorithms, justifies the belief that results of medical AI are to be trusted. We also argue that several ethical concerns remain with black box algorithms, even when the results are trustworthy. Having justified knowledge from reliable indicators is, therefore, necessary but not sufficient for normatively justifying physicians to act. This means that deliberation about the results of reliable algorithms is required to find out what is a desirable action. Thus understood, we argue that such challenges should not dismiss the use of black box algorithms altogether but should inform the way in which these algorithms are designed and implemented. When physicians are trained to acquire the necessary skills and expertise, and collaborate with medical informatics and data scientists, black box algorithms can contribute to improving medical care. (shrink)