A Christian worldview entreats humans to live in ethical relationship with the natural world; our current ecological crisis makes that call of crucial and immediate importance. If humans, and Christians in particular, are to adequately participate in care for creation, then we must proceed with both ecological and theological knowledge about the natural world. In both scientific and theological analyses, we uncover not only creative processes of growth, but elements of chaos and destruction. The carbon cycle, food webs, and evolution (...) are examples of where the earth’s survival depends upon destructive processes. In parallel fashion, God’s activity in Scripture also entails chaos and destructive activity, such as the flood in Genesis, the wisdom of the Book of Job, and Paul’s reflection on creation in Romans. This article argues that humans, called to be co-creators with God, thus need to integrate destructive activity into our framework of what it means to “cocreate,” thereby participation in creation in a more holistic manner. Far from unleashing unrestricted destruction on the world, such a framework offers ethical guidelines for destroying and creating in ways that support the overall flourishing of the natural world. (shrink)

Digital media and connected technologies have brought about some new ethical challenges to the surface. Digital media ethics is the scientific and systematic study of ethical attitudes and problems in relation to the use of digital media. This paper discusses the role of digital media ethics in modern school education. First, it is argued that digital media ethics is best perceived as a dimension of digital competence more generally. Since the development of students’ digital competence is one of the central (...) ambitions in modern school education, there is good reason to teach digital media ethics in school. Then, the authors go on to argue that there are at least three potential benefits from teaching digital media ethics: (i) students will increase their digital competence; (ii) students will develop their ability to use digital and connected technologies such as mobile phones for learning; and (iii) students will be helped in living a good life. Finally, the authors offer some reflections on challenges that might arise when digital media ethics is integrated in school education. (shrink)

Background Palliative care is an integral part of health care, which in term has become increasingly technologized in recent decades. Lately, innovative smart sensors combined with artificial intelligence promise better diagnosis and treatment. But to date, it is unclear: how are palliative care concepts and their underlying assumptions about humans challenged by smart sensor technologies (SST) and how can care benefit from SST? -/- Aims The paper aims to identify changes and challenges in palliative care due to the use of (...) SST. In addition, normative guiding criteria for the use of SST are developed. -/- Methods The principle of Total Care used by the European Association for Palliative Care (EAPC) forms the basis for the ethical analysis. Drawing on this, its underlying conceptions of the human and its socio-ethical aspects are examined with a phenomenological focus. In the second step, the advantages, limitations, and socio-ethical challenges of using SST with respect to the Total Care principle are explored. Finally, ethical-normative requirements for the application of SST are derived. -/- Results and Conclusion First, SST are limited in their measurement capabilities. Second, SST have an impact on human agency and autonomy. This concerns both the patient and the caregiver. Third, some aspects of the Total Care principle are likely to be marginalized due to the use of SST. The paper formulates normative requirements for using SST to serve human flourishing. It unfolds three criteria according to which SST must be aligned: (1) evidence and purposefulness, (2) autonomy, and (3) Total Care. (shrink)

The use of Artificial Intelligence and Big Data in health care opens up new opportunities for the measurement of the human. Their application aims not only at gathering more and better data points but also at doing it less invasive. With this change in health care towards its extension to almost all areas of life and its increasing invisibility and opacity, new questions of transparency arise. While the complex human-machine interactions involved in deploying and using AI tend to become non-transparent, (...) the use of these technologies makes the patient seemingly transparent. Papers on the ethical implementation of AI plead for transparency but neglect the factor of the “transparent patient” as intertwined with AI. Transparency in this regard appears to be Janus-faced: The precondition for receiving help - e.g., treatment advice regarding the own health - is to become transparent for the digitized health care system. That is, for instance, to donate data and become visible to the AI and its operators. The paper reflects on this entanglement of transparent patients and (non-) transparent technology. It argues that transparency regarding both AI and humans is not an ethical principle per se but an infraethical concept. Further, it is no sufficient basis for avoiding harm and human dignity violations. Rather, transparency must be enriched by intelligibility following Judith Butler’s use of the term. Intelligibility is understood as an epistemological presupposition for recognition and the ensuing humane treatment. Finally, the paper highlights ways to testify intelligibility in dealing with AI in health care ex ante, ex post, and continuously. (shrink)

This paper presents a social-theologically informed interpretation of the term integrity, as it occurs in fundamental law. It explores the manifestations of integrity violations and proceeds to draw an inference: an integrity violation can directly emanate from a misconception regarding integrity itself, as well as the implementation of protective measures that follow it. Integrity in its wholeness dimension is understood as open-endedness and non-seclusion rather than as a substantial, clearly definable characteristic of a person. This open-endedness and non-seclusion results from (...) the relational constitution of an individual. Consequently, it follows that a violation of integrity occurs when the open-endedness and non-seclusion of a person and their relational Becoming is hindered. The new definition of integrity is particularly important when it comes to the governance of new health technologies, especially Digital Twins that can become representatives of a person. Human integrity is non-violated only when it is understood as open to relational Becoming and this Becoming shows its expression in the mutual enabling and support of self-articulation. (shrink)

Since uncertainty is a major challenge in medicine and bears the risk of causing incorrect diagnoses and harmful treatment, there are many efforts to tackle it. For some time, AI technologies have been increasingly implemented in medicine and used to reduce medical uncertainties. What initially seems desirable, however, poses challenges. We use a multimethod approach that combines philosophical inquiry, conceptual analysis, and ethical considerations to identify key challenges that arise when AI is used for medical certainty purposes. We identify several (...) challenges. Where AI is used to reduce medical uncertainties, it is likely to result in (a) patients being stripped down to their measurable data points, and being made disambiguous. Additionally, the widespread use of AI technologies in health care bears the risk of (b) human physicians being pushed out of the medical decision-making process, and patient participation being more and more limited. Further, the successful use of AI requires extensive and invasive monitoring of patients, which raises (c) questions about surveillance as well as privacy and security issues. We outline these several challenges and show that they are immediate consequences of AI-driven security efforts. If not addressed, they could entail unfavorable consequences. We contend that diminishing medical uncertainties through AI involves a tradeoff. The advantages, including enhanced precision, personalization, and overall improvement in medicine, are accompanied by several novel challenges. This paper addresses them and gives suggestions about how to use AI for certainty purposes without causing harm to patients. (shrink)