Implications of an Ethic of Privacy for Human-Centred Systems Engineering

Privacy remains an intractable ethical issue for the information society. Given its complicity, there is a moral obligation to redress privacy issues in systems engineering practice itself. This paper investigates the role the concept of privacy plays in contemporary systems engineering practice. Ontologically a nominalist human concept, privacy is considered from an appropriate engineering perspective: human-centred design. Two human-centred design standards are selected as exemplars of best practice, and are analysed using an existing multi-dimensional privacy model. The findings indicate that the human-centred standards are currently inadequate in dealing with privacy issues. Some implications for future practice are subsequently highlighted

A review of contemporary work on the ethics of ambient assisted living technologies for people with dementia

Ambient assisted living (AAL) technologies can provide assistance and support to persons with dementia. They might allow them the possibility of living at home for longer whilst maintaining their comfort and security as well as offering a way towards reducing the huge economic and personal costs forecast as the incidence of dementia increases worldwide over coming decades. However, the development, introduction and use of AAL technologies also trigger serious ethical issues. This paper is a systematic literature review of the on-going scholarly debate about these issues. More specifically, we look at the ethical issues involved in research and development (R&D), clinical experimentation, and clinical application of AAL technologies for people with dementia and related stakeholders. In the discussion we focus on: 1) the value of the goals of AAL technologies, 2) the special vulnerability of persons with dementia in their private homes, 3) the complex question of informed consent for the usage of AAL technologies

Toddlers and Robots? The Ethics of Supporting Young Children with Disabilities with AI Companions and the Implications for Children’s Rights

Rapid advancements in Artificial Intelligence (AI) pose new ethical questions for human rights educators. This article uses Socially Assistive Robots (SARs) as a case study. SARs, also known as social robots, are AI systems designed to interact with humans. Often built to enhance human wellbeing or provide companionship, social robots are typically designed to mimic human behaviors. They may look endearing, friendly, and appealing. Well-designed models will interact with humans in ways that feel trustworthy, natural, and intuitive. As one of the fastest-growing areas of AI, social robots raise new questions for human rights specialists. When used with young children with disabilities, they raise pressing questions around surveillance, data privacy, discrimination, and the socio-emotional impact of technology on child development. This article delves into some of these ethical questions. It takes into account the unique vulnerabilities of young children with disabilities and reflects on the long-term societal implications of AI-assisted care. While not aiming to be comprehensive, the article explores some of the ethical implications of social robots as technologies that sit at the boundary of the human and nonhuman. What pitfalls and possibilities arise from this liminal space for children’s rights

To Each Technology Its Own Ethics: The Problem of Ethical Proliferation

Ethics plays a key role in the normative analysis of the impacts of technology. We know that computers in general and the processing of data, the use of artificial intelligence, and the combination of computers and/or artificial intelligence with robotics are all associated with ethically relevant implications for individuals, groups, and society. In this article, we argue that while all technologies are ethically relevant, there is no need to create a separate ‘ethics of X’ or ‘X ethics’ for each and every subtype of technology or technological property—e.g. computer ethics, AI ethics, data ethics, information ethics, robot ethics, and machine ethics. Specific technologies might have specific impacts, but we argue that they are often sufficiently covered and understood through already established higher-level domains of ethics. Furthermore, the proliferation of tech ethics is problematic because (a) the conceptual boundaries between the subfields are not well-defined, (b) it leads to a duplication of effort and constant reinventing the wheel, and (c) there is danger that participants overlook or ignore more fundamental ethical insights and truths. The key to avoiding such outcomes lies in a taking the discipline of ethics seriously, and we consequently begin with a brief description of what ethics is, before presenting the main forms of technology related ethics. Through this process, we develop a hierarchy of technology ethics, which can be used by developers and engineers, researchers, or regulators who seek an understanding of the ethical implications of technology. We close by deducing two principles for positioning ethical analysis which will, in combination with the hierarchy, promote the leveraging of existing knowledge and help us to avoid an exaggerated proliferation of tech ethics.publishedVersio

Reframing data ethics in research methods education: a pathway to critical data literacy

This paper presents an ethical framework designed to support the development of critical data literacy for research methods courses and data training programmes in higher education. The framework we present draws upon our reviews of literature, course syllabi and existing frameworks on data ethics. For this research we reviewed 250 research methods syllabi from across the disciplines, as well as 80 syllabi from data science programmes to understand how or if data ethics was taught. We also reviewed 12 data ethics frameworks drawn from different sectors. Finally, we reviewed an extensive and diverse body of literature about data practices, research ethics, data ethics and critical data literacy, in order to develop a transversal model that can be adopted across higher education. To promote and support ethical approaches to the collection and use of data, ethics training must go beyond securing informed consent to enable a critical understanding of the techno-centric environment and the intersecting hierarchies of power embedded in technology and data. By fostering ethics as a method, educators can enable research that protects vulnerable groups and empower communities

Ethics and Morality in AI - A Systematic Literature Review and Future Research

Artificial intelligence (AI) has become an integral part of our daily lives in recent years. At the same time, the topic of ethics and morality in the context of AI has been discussed in both practical and scientific discourse. Either it deals with ethical concerns, concrete application areas, the programming of AI or its moral status. However, no article can be found that provides an overview of the combination of ethics, morality and AI and systematizes them. Thus, this paper provides a systematic literature review on ethics and morality in the context of AI examining the scientific literature between the years 2017 and 2021. The search resulted in 1,641 articles across five databases of which 224 articles were included in the evaluation. Literature was systematized into seven topics presented in this paper. Implications of this review can be valuable not only for academia, but also for practitioners

Ethics of the health-related internet of things: a narrative review

The internet of things is increasingly spreading into the domain of medical and social care. Internet-enabled devices for monitoring and managing the health and well-being of users outside of traditional medical institutions have rapidly become common tools to support healthcare. Health-related internet of things (H-IoT) technologies increasingly play a key role in health management, for purposes including disease prevention, real-time tele-monitoring of patient’s functions, testing of treatments, fitness and well-being monitoring, medication dispensation, and health research data collection. H-IoT promises many benefits for health and healthcare. However, it also raises a host of ethical problems stemming from the inherent risks of Internet enabled devices, the sensitivity of health-related data, and their impact on the delivery of healthcare. This paper maps the main ethical problems that have been identified by the relevant literature and identifies key themes in the on-going debate on ethical problems concerning H-IoT

Socio-cognitive destruction: Reality or fiction?- And the imperative of ethics

The Web 2.0 has become a buzzword that is used to illustrate a wide range of online activities and applications. In fact, Web 2.0 enhances tremendously the chance to detect and re-examine cognitive, social psychological and interpersonal communication models. Moreover, cognitive dissonance is a psychological phenomenon which refers to discomfort felt at a discrepancy between what you already know or believe, and new information or interpretation. Therefore, the aim of this paper is to debate the following questions: do Web 2.0 create cognitive dissonance? In what extent? What are the consequences for younger people? And, does computer ethics may help