Technology Ethics

Two Boeing 737-MAX passenger planes crashed in October 2018 and March 2019, suspending all 737-MAX aircraft. The crashes put Boeing’s corporate practices and culture under the spotlight. The main objective of this paper is to use the case of Boeing to highlight the importance of efficient employee grievance redressal mechanisms and an independent external regulator. The methodology adopted is a qualitative analysis of statements of various whistleblowers and Boeing and the Federal Aviation Administration (FAA) stakeholders. It suggests that employee feedback (...) flowing up the chain of command should be more flexible and dealt with more seriousness. It recommends that companies adopt a cooling-off period or a lifetime restriction for employees who have gone through the revolving door between regulators and the industry. The Boeing 737-MAX case, which emphasizes the ethical obligations of the job, can offer value to engineers, engineering educators, managers, ombudsmen, and human resource professionals. (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.

Carl Mitcham has recently pointed out that the current approach to the ethics of technology has failed to solve large-scale socio-ethical challenges in the technological world, such as climate change. He then suggests that, in the face of an iceberg of issues regarding technological development, philosophers should recognize the intellectual heritage of the classical philosophers of technology to better deal with the escalating crises that threaten humankind. While Mitcham’s proposal is inspiring, there are several lacunae in his work. In this (...) paper, we contribute to Mitcham’s idea by developing it and filling the important gaps. Our efforts have led to a new style of holistic thinking about the ethics of technology, according to which it is necessary to focus on the system of technologies as a whole (while not ignoring individual technologies, of course) to understand and address issues related to technology development. -/- . (shrink)

Controversies surrounding social media platforms have provided opportunities for institutional reflexivity amongst users and regulators on how to understand and govern platforms. Amidst contestation, platform companies have continued to enact projects that draw upon existing modes of privatized governance. We investigate how social media companies have attempted to achieve closure by continuing to set the terms around platform governance. We investigate two projects implemented by Facebook (Meta)—authenticity regulation and privacy controls—in response to the Russian Interference and Cambridge Analytica controversies surrounding (...) the 2016 U.S. Presidential Election. Drawing on Goffman’s metaphor of stage management, we analyze the techniques deployed by Facebook to reinforce a division between what is visible and invisible to the user experience. These platform governance projects propose to act upon _front-stage data relations:_ information that users can see from other users—whether that is content that users can see from “bad actors”, or information that other users can see about oneself. At the same time, these projects relegate _back-stage data relations_—information flows between users constituted by recommendation and targeted advertising systems—to invisibility and inaction. As such, Facebook renders the user experience actionable for governance, while foreclosing governance of back-stage data relations central to the economic value of the platform. As social media companies continue to perform platform governance projects following controversies, our paper invites reflection on the politics of these projects. By destabilizing the boundaries drawn by platform companies, we open space for continuous reflexivity on how platforms should be understood and governed. (shrink)

Research Integrity (RI) is high on the agenda of both institutions and science policy. The European Union as well as national ministries of science have launched ambitious initiatives to combat misconduct and breaches of research integrity. Often, such initiatives entail attempts to regulate scientific behavior through guidelines that institutions and academic communities can use to more easily identify and deal with cases of misconduct. Rather than framing misconduct as a result of an information deficit, we instead conceptualize Questionable Research Practices (...) (QRPs) as attempts by researchers to reconcile epistemic and social forms of uncertainty in knowledge production. Drawing on previous literature, we define epistemic uncertainty as the inherent intellectual unpredictability of scientific inquiry, while social uncertainty arises from the human-made conditions for scientific work. Our core argument—developed on the basis of 30 focus group interviews with researchers across different fields and European countries—is that breaches of research integrity can be understood as attempts to loosen overly tight coupling between the two forms of uncertainty. Our analytical approach is not meant to relativize or excuse misconduct, but rather to offer a more fine-grained perspective on what exactly it is that researchers want to accomplish by engaging in it. Based on the analysis, we conclude by proposing some concrete ways in which institutions and academic communities could try to reconcile epistemic and social uncertainties on a more collective level, thereby reducing incentives for researchers to engage in misconduct. (shrink)

Failing to recognise sentience in AI systems (false negatives) poses a far greater risk of potentially astronomical suffering compared to mistakenly attributing sentience to non-sentient systems (false positives). This paper analyses the issue through the moral frameworks of longtermism, utilitarianism, and deontology, concluding that all three assign greater urgency to avoiding false negatives. Given the astronomical number of AIs that may exist in the future, even a small chance of overlooking sentience is an unacceptable risk. To address this, the paper (...) proposes a comprehensive approach including research, field-building, and tentative policy development. Humanity must take steps to ensure the well-being of all sentient minds, both biological and artificial. (shrink)

Determining the agency-status of machines and AI has never been more pressing. As we progress into a future where humans and machines more closely co-exist, understanding hallmark features of agency affords us the ability to develop policy and narratives which cater to both humans and machines. This paper maintains that decision-making processes largely underpin agential action, and that in most instances, these processes yield good results in terms of making good choices. However, in some instances, when faced with two (or (...) more) choices, an agent may find themselves with equal reasons to choose either - thus being presented with a tie. This paper argues that in the event of a tie, the ability to create a voluntarist reason is a hallmark feature of agency, and second, that AI, through current tie-breaking mechanisms does not have this ability, and thus fails at this particular feature of agency. (shrink)

How did we end up here, masters of scientific insight, purveyors of ever more powerful technologies, astride the burning planet that created us, and now responsible for cleaning up the mess and determining the future direction of all of life? And what do we do about it? Technology is Dead attempts to answer both of those questions. It is a book of both challenge and hope, written for those who are able or willing to lead us out of our global (...) predicament. It is for the politicians, CEOs, community leaders, everyday parents and young people who understand that we must change our ways to ensure a sustainable future for all living things and the planet we rely on. The book's premise is that technology (like capitalism) has been an unprecedented force for prosperity, while at the same time bringing unrelenting, and unplanned downsides. Technology has insinuated itself into every nook and cranny of modern society, ignoring many of our human truths while preying on our vulnerabilities. It has resulted in both profound economic progress and a multitude of troubling unintended consequences, from deepening divides and loss of collective responsibility to a growing list of existential threats. The only viable response is to reconnect with our collaborative roots and undertake what the authors call a humanist revolution, a global effort to redefine human progress, rebuild our core systems to contribute to that progress, and reset our all too human behaviors and aspirations, while becoming the active, careful human-first stewards of technology itself. The revolution, guided by what the authors call a 21st Century Humanist Code asks all of us to work towards the world we want to live in - for each and every human to become the center and source of change in their lives, in their communities and the world beyond. The future of humankind and our planet depends on it. (shrink)

Predicting our future as individuals is a central to the role of much emerging technology, from hiring algorithms that predict our professional success (or failure) to biomarkers that predict how long (or short) our healthy (or unhealthy) life will be. Yet, much in western culture, from scripture to mythology to philosophy, suggests that knowing one's future may not be in the subject's best interests and might even lead to disaster. If predicting our future as individuals can be harmful as well (...) as beneficial, why are we so willing to engage in so much prediction, from cradle to grave? This book offers a philosophical answer, reflecting on seminal texts in western culture to argue that predicting our future renders much of our existence the automated effect of various causes, which, in turn, helps to alleviate the existential burden of autonomously making sense of our lives in a more competitive, demanding, accelerated society. An exploration of our tendency in a technological era to engineer and so rid ourselves of that which has hitherto been our primary reason for being - making life plans for a successful future, while faced with epistemological and ethical uncertainties - Predicted Humans will appeal to scholars of philosophy and social theory with interests in questions of moral responsibility and meaning in an increasingly technological world. (shrink)

Workplace AI is transforming labor but decisions on which AI applications are developed or implemented are made with little to no input from workers themselves. In this piece for AI & Society, I argue for nationalization as a strategy for democratizing AI.

In this paper, I introduce a “promises and perils” framework for understanding the “soft” impacts of emerging technology, and argue for a eudaimonic conception of well-being. This eudaimonic conception of well-being, however, presupposes that we have something like stable character traits. I therefore defend this view from the “situationist challenge” and show that instead of viewing this challenge as a threat to well-being, we can incorporate it into how we think about living well with technology. Human beings are susceptible to (...) situational influences and are often unaware of the ways that their social and technological environment influence not only their ability to do well, but even their ability to know whether they are doing well. Any theory that attempts to describe what it means for us to be doing well, then, needs to take these contextual features into account and bake them into a theory of human flourishing. By paying careful attention to these contextual factors, we can design systems that promote human flourishing. (shrink)

Following Heidegger, Severino called ‘technology’ the lógos that interprets the world according to our fundamental belief in téchne. He considered Giacomo Leopardi to be the only thinker who brought this ideology to its logical conclusion: if we can transform the world, then everything is meaningless. We try to escape this conclusion, but if Severino is right, we cannot. His philosophy thus reminds us that we still aren’t aware of the fundamental meaning of our beliefs. Confronting its arguments may help us (...) become more self-aware and, perhaps, even move us to question the unquestionable. (shrink)

This paper proposes a reevaluation of assessment methods in philosophy higher education, advocating for a shift away from traditional written assessments towards oral evaluation. Drawing attention to the rising ethical concerns surrounding large language models (LLMs), we argue that a renewed focus on oral skills within philosophical pedagogy is both imperative and underexplored. This paper offers a case for redirecting attention to the neglected realm of oral evaluation, asserting that it holds significant promise for fostering students with some of our (...) traditional academic values that we want to maintain. We identify implications of this shift in emphasis which situates our discipline to contribute positively to solving some of the most pressing socio-political issues. Additionally, our proposal aims to demonstrate how philosophy can solidify its relevancy to the twenty-first century student and academy more broadly. (shrink)

The application of Artificial Intelligence (AI) in healthcare and epidemiology undoubtedly has many benefits for the population. However, due to its environmental impact, the use of AI can produce social inequalities and long-term environmental damages that may not be thoroughly contemplated. In this paper, we propose to consider the impacts of AI applications in medical care from the One Health paradigm and long-term global health. From health and environmental justice, rather than settling for a short and fleeting green honeymoon between (...) health and sustainability caused by AI, it should aim for a lasting marriage. To this end, we conclude by proposing that, in the upcoming years, it could be valuable and necessary to promote more interconnected health, call for environmental cost transparency, and increase green responsibility. (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)

As humans, we have an innate tendency to ascribe human-like qualities to non-human entities. Whilst sometimes helpful, such anthropomorphic projections are often misleading. This commentary considers how anthropomorphising AI contributes to its misrepresentation and hype. First, I outline three manifestations (terminology; imagery; and morality). Then, I consider the extent to which we ought to mitigate it.

Việc nghiên cứu các vấn đề công bằng xã hội liên quan đến AI là vô cùng cần thiết. Công bằng trong giáo dục là việc đảm bảo quyền bình đẳng tiếp cận giáo dục cho mọi người: Giáo dục phổ thông miễn phí; không phân biệt đối xử; đảm bảo nội dung, phương pháp phù hợp với từng đối tượng. Rủi ro về công bằng trong giáo dục bao gồm: Bất cân bằng giữa các thế hệ; định kiến trong (...) dữ liệu huấn luyện; hộp đen AI; và bất bình đẳng trong tiếp cận giáo dục về AI. Giải pháp: Ứng dụng AI trong giáo dục phải đảm bảo tôn trọng phẩm giá của con người, quyền riêng tư, trách nhiệm giải trình và tính minh bạch. (shrink)

In this chapter, we propose a non-traditional RCR training in data science that is grounded in a virtue theory framework. First, we delineate the approach in more theoretical detail by discussing how the goal of RCR training is to foster the cultivation of certain moral abilities. We specify the nature of these ‘abilities’: while the ideal is the cultivation of virtues, the limited space allowed by RCR modules can only facilitate the cultivation of superficial abilities or proto-virtues, which help students (...) to familiarize themselves with moral and political issues in the data science environment. Third, we operationalize our approach by stressing that (proto-)virtue acquisition (like skill acquisition) occurs through the technical and social tasks of daily data science activities, where these repetitive tasks provide the opportunities to develop (proto-)virtue capacity and to support the development of ethically robust data systems. Finally, we discuss a concrete example of implementing this approach. In particular, we describe how this method is applied to teach data ethics to students participating in the CODATA-RDA Data Science Summer Schools. (shrink)

This study examines an important aspect of energy history and policy: the intertwinement of energy technologies with ideals. Ideals play an important role in energy visions and innovation pathways. Aspirations to realize technical, social, and political ideals indicate a long-term commitment in the design of energy systems, distinguishable from commitment to other abstract goals, such as values. This study offers an analytical scheme that could help to conceptualize these differences and their impact on energy policy. In the proposed model, two (...) spheres of interaction are highlighted: a material sphere in which values and technologies co-evolve, and an imaginary sphere in which ideals interact with idealized technologies. Furthermore, the relation between these two spheres can be understood in different ways. This study examines three cases that are illustrative of the different roles of ideals in the development of energy technologies and visions: (1) the evolution of safety in nuclear reactor design; (2) visions of atomic power in France; (3) the political idealization of a tidal power scheme in the Severn Estuary. Finally, the developed model implies more general insights for the development of sociotechnical systems. Amongst others, it shows why certain projects and technologies remain a political, but not a techno–economic option. (shrink)

In this open access book, Timothy Aylsworth and Clinton Castro draw on the deep well of Kantian ethics to argue that we have moral duties, both to ourselves and to others, to protect our autonomy from the threat posed by the problematic use of technology. The problematic use of technologies like smartphones threatens our autonomy in a variety of ways, and critics have only begun to appreciate the vast scope of this problem. In the last decade, we have seen a (...) flurry of books making “self-help” arguments about how we could live happier, more fulfilling lives if we were less addicted to our phones. But none of these authors see this issue as one involving a moral duty to protect our autonomy. (shrink)

In the past few years, calls for integrating ethics modules in engineering curricula have multiplied. Despite this positive trend, a number of issues with these ‘embedded’ programs remains. First, learning goals are underspecified. A second limitation is the conflation of different dimensions under the same banner, in particular confusion between ethics curricula geared towards addressing the ethics of individual conduct and curricula geared towards addressing ethics at the societal level. In this article, we propose a tripartite framework to overcome these (...) difficulties. Our framework analytically decomposes an ethics module into three dimensions. First, there is the ethical dimension, which pertains to the learning goals. Second, there is the moral dimension, which addresses the moral relevance of engineers’ conduct. Finally, there is the political dimension, which scales up issues of moral relevance at the civic level. All in all, our framework has two advantages. First, it provides analytic clarity, i.e. it enables course instructors to locate ethical dilemmas in either the moral or political realm and to make use of the tools and resources from moral and/or political philosophy. Second, it depicts a comprehensive ethical training, which enables students to both reason about moral issues in the abstract, and to socially contextualize potential solutions. (shrink)

Regulation by design (RBD) is a growing research field that explores, develops, and criticises the regulative function of design. In this article, we provide a qualitative thematic synthesis of the existing literature. The aim is to explore and analyse RBD's core features, practices, limitations, and related governance implications. To fulfil this aim, we examine the extant literature on RBD in the context of digital technologies. We start by identifying and structuring the core features of RBD, namely the goals, regulators, regulatees, (...) methods, and technologies. Building on that structure, we distinguish between three types of RBD practices: compliance by design, value creation by design, and optimisation by design. We then explore the challenges and limitations of RBD practices, which stem from risks associated with compliance by design, contextual limitations, or methodological uncertainty. Finally, we examine the governance implications of RBD and outline possible future directions of the research field and its practices. (shrink)

The past decade has seen extensive research carried out on the systematic causes of research misconduct. Simultaneously, less attention has been paid to the variation in academic misconduct between research fields, as most empirical studies focus on one particular discipline. We propose that academic discipline is one of several systematic factors that might contribute to academic misbehavior. Drawing on a neo-institutional approach, we argue that in the developing countries, the norm of textual originality has not drawn equal support across different (...) research fields depending on its level of internationalization. Using plagiarism detection software, we analyzed 2,405 doctoral dissertations randomly selected from all dissertations defended in Russia between 2007 and 2015. We measured the globalization of each academic discipline by calculating the share of publications indexed in the global citation database in relation to overall output. Our results showed that, with an average share of detected borrowings of over 19%, the incidence of plagiarism in Russia is remarkably higher than in Western countries. Overall, disciplines closely follow the pattern of higher globalization associated with a lower percentage of borrowed text. We also found that plagiarism is less prevalent at research-oriented institutions supporting global ethical standards. Our findings suggest that it might be misleading to measure the prevalence of academic misconduct in developing countries without paying attention to variations at the disciplinary level. (shrink)

Prior research on engineering students’ understandings of ethics and social responsibility has produced mixed and sometimes conflicting results. Seeking greater clarity in this area of investigation, we conducted an exploratory, longitudinal study at four universities in the United States to better understand how engineering undergraduate students perceive ethics and social responsibility and how those perceptions change over time. Undergraduate engineering students at four U.S. universities were surveyed three times: during their 1st (Fall 2015), 5th (Fall 2017), and 8th semesters (Spring (...) 2019). The students who completed all three surveys (_n_ = 226) comprise the sample that was analyzed in this paper for changes in their scores on five instruments: Fundamentals of Engineering/Situational Judgment, Moral Disengagement, ABET Engineering Work and Practice Considerations, Macroethics, and Political and Social Involvement Scale. We found that students modestly increased their knowledge of ethics and ability to apply that knowledge in situations calling for them to exercise judgment. In addition, they consistently indicated that health and safety considerations in engineering were of highest importance. They also showed steady levels of social consciousness over time, in contrast to other studies which detected a culture of increasing disengagement in engineering students throughout the four years of their undergraduate studies. (shrink)

In the research integrity literature, funding plays two different roles: it is thought to elevate questionable research practices (QRPs) due to perverse incentives, and it is a potential actor to incentivize research integrity standards. Recent studies, asking funders, have emphasized the importance of the latter. However, the perspective of active researchers on the impact of competitive research funding on science has not been explored yet. Here, I address this issue by conducting a series of group sessions with researchers in two (...) different countries with different degrees of competition for funding, from three scientific fields (medical sciences, natural sciences, humanities), and in two different career stages (permanent versus temporary employment). Researchers across all groups experienced that competition for funding shapes science, with many unintended negative consequences. Intriguingly, these consequences had little to do with the type of QRPs typically being presented in the research integrity literature. Instead, the researchers pointed out that funding could result in predictable, fashionable, short-sighted, and overpromising science. This was seen as highly problematic: scientists experienced that the ‘projectification’ of science makes it more and more difficult to do any science of real importance: plunging into the unknown or addressing big issues that need a long-term horizon to mature. They also problematized unintended negative effects from collaboration and strategizing. I suggest it may be time to move away from a focus on QRPs in connection with funding, and rather address the real problems. Such a shift may then call for entirely different types of policy actions. (shrink)

As the science and technology of the brain and mind develop, so do the ways in which brains and minds may be surveilled and manipulated. Some cognitive libertarians worry that these developments undermine cognitive liberty, or “freedom of thought.” I argue that protecting an individual’s cognitive liberty undermines others’ ability to use their own cognitive liberty. Given that the threatening devices and processes are not relevantly different from ordinary and frequent intrusions upon one’s brain and mind, strong protections of cognitive (...) liberty may proscribe neurotechnological intrusions, but also ordinary intrusions. Thus, the cognitive libertarian position “hog-ties” others’ use of their own liberties. This problem for the cognitive libertarian is the same problem that ordinary libertarianism faces in protecting individual rights to property and person. But the libertarian strategies for resolving the problem don’t work for the cognitive libertarian. I conclude that the right to mental privacy is weaker than what cognitive libertarians want it to be. (shrink)

There is a theorem that shows that it is impossible for an algorithm to jointly satisfy the statistical fairness criteria of Calibration and Equalised Odds non-trivially. But what about the recently advocated alternative to Calibration, Base Rate Tracking? Here, we show that Base Rate Tracking is strictly weaker than Calibration, and then take up the question of whether it is possible to jointly satisfy Base Rate Tracking and Equalised Odds in non-trivial scenarios. We show that it is not, thereby establishing (...) an even more general impossibility theorem. (shrink)

This paper focuses on stakeholder identification as per the value sensitive design (VSD) approach applied to the context of quantum technologies (QT). We provide two comprehensive lists of stakeholders as starting points for VSD researchers and practitioners. These lists encompass a diverse range of organizations, including private companies, government agencies, NGOs, partnerships, and professional/trade organizations. Our aim is to facilitate the recognition, legitimation, and understanding of stakeholder interactions in the development of QT. These stakeholder lists can serve as a foundation (...) for designing and implementing policies and strategies that promote the ethical and responsible development of QT, considering the values and interests of various stakeholders. Furthermore, these lists can enable empirical and technical studies on specific QT innovations using an ethics-by-design approach like VSD. Overall, this paper contributes to a better understanding of the complex and dynamic nature of the QT landscape and highlights the importance of stakeholder engagement and collaboration in shaping its future. (shrink)

This article explores the potential of Bernard Lonergan’s philosophy of subjectivity as objectivity as a grounding for value sensitive design (VSD) and the design turn in applied ethics. The rapid pace of scientific and technological advancement has created a gap between technical abilities and our moral assessments of those abilities, calling for a reflection on the philosophical tools we have for applying ethics. In particular, applied ethics often presents interconnected problems that require a more general framework for ethical reflection. Lonergan’s (...) philosophy, which emphasizes the importance of self-understanding and self-transcendence in achieving objectivity, can provide a valuable perspective on VSD and the design turn in applied ethics. The article examines how Lonergan’s philosophy can be applied to VSD and the design turn, and how scientific knowledge can be integrated into an ethics of science without reducing it to an external reflection. By adopting Lonergan’s perspective, we can address the ethical challenges arising from scientific and technological advancements while promoting a more holistic approach to applied ethics. (shrink)

Methodologically rigorous description, analysis, and critique of postmodern phenomena presuppose a rigorous theory of postmodernity, for which the philosophy of Martin Heidegger holds great untapped promise. This essay explicates the basic content of Heidegger’s “metametaphysics,” since for Heidegger a “metaphysics” is the epochally prevailing projection of the meaning of being in general, and he offers a theory of Western metaphysics. I begin with Heidegger’s analysis of the “regional ontologies” of the sciences in his 1927 magnum opus Being and Time, since (...) the metametaphysical works of the “late middle” Heidegger in the 1930s–1940s extend this analytical framework to metaphysics as global ontology. I then explicate Heidegger’s views on modern metaphysics, focusing on his analyses of modern science and the philosophy of Descartes, before turning to his theory of postmodernity, which I extract from his analyses of modern technology and the philosophy of Nietzsche. (shrink)

Human brain organoids are three-dimensional masses of tissues derived from human stem cells that partially recapitulate the characteristics of the human brain. They have promising applications in many fields, from basic research to applied medicine. However, ethical concerns have been raised regarding the use of human brain organoids. These concerns primarily relate to the possibility that brain organoids may become conscious in the future. This possibility is associated with uncertainties about whether and in what sense brain organoids could have consciousness (...) and what the moral significance of that would be. These uncertainties raise further concerns regarding consent from stem cell donors who may not be sufficiently informed to provide valid consent to the use of their donated cells in human brain organoid research. Furthermore, the possibility of harm to the brain organoids raises question about the scope of the donor’s autonomy in consenting to research involving these entities. Donor consent does not establish the reasonableness of the risk and harms to the organoids, which ethical oversight must ensure by establishing some measures to mitigate them. To address these concerns, we provide three proposals for the consent procedure for human brain organoid research. First, it is vital to obtain project-specific consent rather than broad consent. Second, donors should be assured that appropriate measures will be taken to protect human brain organoids during research. Lastly, these assurances should be fulfilled through the implementation of precautionary measures. These proposals aim to enhance the ethical framework surrounding human brain organoid research. (shrink)

As sophisticated artificial intelligence software becomes more ubiquitously and more intimately integrated within domains of traditionally human endeavor, many are raising questions over how responsibility (be it moral, legal, or causal) can be understood for an AI’s actions or influence on an outcome. So called “responsibility gaps” occur whenever there exists an apparent chasm in the ordinary attribution of moral blame or responsibility when an AI automates physical or cognitive labor otherwise performed by human beings and commits an error. Healthcare (...) administration is an industry ripe for responsibility gaps produced by these kinds of AI. The moral stakes of healthcare are often life and death, and the demand for reducing clinical uncertainty while standardizing care incentivizes the development and integration of AI diagnosticians and prognosticators. In this paper, we argue that (1) responsibility gaps are generated by “black box” healthcare AI, (2) the presence of responsibility gaps (if unaddressed) creates serious moral problems, (3) a suitable solution is for relevant stakeholders to voluntarily responsibilize the gaps, taking on some moral responsibility for things they are not, strictly speaking, blameworthy for, and (4) should this solution be taken, black box healthcare AI will be permissible in the provision of healthcare. (shrink)

Ambient Assisted Living (AAL) refers to technologies that track daily activities of persons in need of care to enhance their autonomy and minimise their need for assistance. New technological developments show an increasing effort to integrate automated emotion recognition and regulation (ERR) into AAL systems. These technologies aim to recognise emotions via different sensors and, eventually, to regulate emotions defined as “negative” via different forms of intervention. Although these technologies are already implemented in other areas, AAL stands out by its (...) tendency to enable an inconspicuous 24-hour surveillance in the private living space of users who rely on the technology to maintain a certain degree of independence in their daily activities. The combination of both technologies represents a new dimension of emotion recognition in a potentially vulnerable group of users. Our paper aims to provide an ethical contextualisation of the novel combination of both technologies. We discuss different concepts of emotions, namely Basic Emotion Theory (BET) and the Circumplex Model of Affect (CMA), that form the basis of ERR and provide an overview over the current technological developments in AAL. We highlight four ethical issues that specifically arise in the context of ERR in AAL systems, namely concerns regarding (1) the reductionist view of emotions, (2) solutionism as an underlying assumption of these technologies, (3) the privacy and autonomy of users and their emotions, (4) the tendency of machine learning techniques to normalise and generalise human behaviour and emotional reactions. (shrink)

本书涉及的理论领域很宽,有对技术本性和发展规律的哲学思考,有对国外技术哲学流派和我国传统技术哲学观念的分析,也有对技术与社会关系中许多现实问题的讨论。.

Personal Information Management Systems (PIMS) aim to facilitate the sharing of personal information and protect privacy. Efforts to enhance privacy management, aligned with established privacy policies, have led to guidelines for integrating transparent notices and meaningful choices within these systems. Although discussions have revolved around the design of privacy-friendly systems that comply with legal requirements, there has been relatively limited philosophical discourse on incorporating the value of privacy into these systems. Exploring the connection between privacy and personal autonomy illuminates the (...) instrumental value of privacy and highlights the importance of intentionally embedding the value of privacy into these systems. To translate the value of privacy into concrete design requirements, this study constructs a values hierarchy consisting of values, norms, and design requirements. After analyzing the relationships between privacy and autonomy and identifying norms, the design requirements translated from the norms associated with the components of personal autonomy are specified at the lowest layer. These requirements include a design to prevent unauthorized access and dark patterns and to provide effective and efficient notices and choices. The findings contribute to expanding the requirements for designing the aspect of privacy as a legal requirement to incorporate the value of privacy into systems. (shrink)

In this chapter, Macnish and Asgarinia introduce current thinking and debate around issues of privacy as these relate to the media. Starting with controversies over the definition of privacy, they consider what the content of privacy should be and why it is we consider privacy to be valuable. This latter includes the social implications of privacy and the only recently-recognised concept of group privacy, contrasting it with individual privacy, as well as legal implications arising through laws such as the European (...) Union’s General Data Protection Regulation, concerning the collection of personal data and data subjects’ rights. Finally they turn to specific instances of privacy consideration in the media. These include: -/- The use of telephoto lenses to take pictures of celebrities at a distance without those celebrities’ permission (and the related question as to what is a reasonable expectation of privacy when in a public place); -/- Sharing information on social media (and the related question of whether those who share their data on social networking sites care about their privacy), as well as the availability of data online to research, even though that data has not always been posted for the purposes of research; -/- The challenges posed by anonymity online, including the trade-off between free expression and offensive expression; -/- Hacking and the meaning of fishing expeditions as a practice by the media and exploring what, if anything, is wrong with these; -/- The implications of invading the privacy of politicians, both as a defence of democracy and as a threat to democracy. (shrink)

Digital data help data scientists and epidemiologists track and predict outbreaks of disease. Mobile phone GPS data, social media data, or other forms of information updates such as the progress of epidemics are used by epidemiologists to recognize disease spread among specific groups of people. Targeting groups as potential carriers of a disease, rather than addressing individuals as patients, risks causing harm to groups. While there are rules and obligations at the level of the individual, we have to reach a (...) stage in the development of data analytics where groups are protected as entities. This chapter offers a deeper examination of harms to the groups. (shrink)

A retraction notice is a formal announcement for the removal of a paper from the literature, which is a weighty matter. Xu et al. (Science and Engineering Ethics, 29(4), 25 2023) reported that 73.7% of retraction notices indexed by the Web of Science (1927–2019) provided no information about institutional investigations that may have led to the retractions, and recommended that Committee on Publication Ethics (COPE) retraction guidelines should make it mandatory to disclose institutional investigations leading to retractions in such notices. (...) While this recommendation would add to the transparency of the retraction process, a blanket mandate as such could be potentially problematic. For research misconduct (RM)-positive cases, a mandatory investigative disclosure may be abused by some to deflect responsibility. More importantly, a mandatory disclosure could harm authors and institutions in RM-negative cases (i.e. those stemming from honest errors with no misconduct). I illustrate with case vignettes the potential epistemic injustice and confusion that a mandate for investigation disclosure in retraction notices could incur, and suggest a more nuanced approach to its implementation. (shrink)

A guide for making the future go better. Humanity’s written history spans only five thousand years. Our yet-unwritten future could last for millions more – or it could end tomorrow. Staggering numbers of people will lead lives of flourishing or misery or never live at all, depending on what we do today.

To assess the intelligence of machines, Alan Turing proposed a test of imitation known as the imitation game, famously known as the Turing test. To assess whether artificial intelligent (AI) systems could be moral or not, Colin Allen et al. developed a test of imitation in the context of morality, a test known as the Moral Turing Test (MTT), which I will, in this paper, call the moral imitation game. There are arguments against developing any type of MTT or moral (...) imitation game. Rather than developing a moral imitation game, this paper proposes a criterion of imitation for AI systems in the moral scenario. To develop a criterion of imitation, I explore the notion of moral attribution in detail. Within the case of moral attribution, I introduce the subject‐ascriber distinction. The notion of moral attribution and the subject‐ascriber distinction is employed to address the following questions: (a) how is the assessment in MTT arranged?, (b) what is the role of the interrogator in the MTT?, and (c) what information is to be concealed from the interrogator? The first question deals with the aspect of assessment, the second question deals with the reordering of the role of the interrogator and the third one deals with the concealment aspect of the imitation game. After that, a criterion of imitation for AI systems is put forward. Using the subject‐ascriber distinction in moral attribution and David Lewis' Mad Pain and Martian Pain cases, it is argued that the notion of sentience is insignificant for the ascriber for moral attributions. (shrink)

The social media industry lacks developed principles of professional ethics that it would need in order to better navigate the ethics of conforming to local media laws in authoritarian countries that lack meaningful protections for privacy, personal and political expression, and intellectual property. This chapter analyzes this question through three frameworks of professional ethics—journalism ethics, technology ethics, and business ethics—and the ways that social media resembles and crucially differs from these three industries.

The authors review existing concepts of digital ethics and lay the groundwork for deeper, and more critical, approaches. 1) What is digital ethics - and what does it mean? 2) Digital ethics and critique 3) Digital economy and technological design 4) Digitality embedded in the everyday 5) Digitality, culture and society 6) Paradoxes of digital transformation: Towards a (new) digital ethics .

Many have argued that human enhancement, in particular bioenhancement via genetic engineering, brain-interventions or preimplantation embryo selection, is problematic even if it can be safely implemented. Various arguments have been put forward focusing on issues such as the undermining of autonomy, uneven distribution and unfairness, and the alteration of one’s identity, amongst others. Nevertheless, few, if any, of these thinkers oppose vaccines. -/- In what follows, I argue for the permissibility of a limited set of cognitive enhancements – in particular, (...) the enhancement of evaluative judgment and self-control – by analogy with the permissibility of vaccines. As a result, it follows that if one accepts the permissibility of vaccines one will also, other things being equal, be committed to the permissibility of these enhancements. I then consider and respond to a number of possible objections in order to defend and clarify my position. (shrink)