The Prospect of Artificial Intelligence-Supported Ethics Review.

The burden of research ethics review falls not just on researchers, but also on those who serve on research ethics committees (RECs). With the advent of automated text analysis and generative artificial intelligence (AI), it has recently become possible to teach AI models to support human judgment, for example, by highlighting relevant parts of a text and suggesting actionable precedents and explanations. It is time to consider how such tools might be used to support ethics review and oversight.

A historical perspective of biomedical explainable AI research.

The black-box nature of most artificial intelligence (AI) models encourages the development of explainability methods to engender trust into the AI decision-making process. Such methods can be broadly categorized into two main types: post hoc explanations and inherently interpretable algorithms. We aimed at analyzing the possible associations between COVID-19 and the push of explainable AI (XAI) to the forefront of biomedical research.

Towards a Design Toolkit of Informed Consent Models Across Fields: A Systematic Review.

In the 60+ years that the modern concept of informed consent has been around, researchers in various fields of practice, especially medical ethics, have developed new models to overcome theoretical and practical problems. While (systematic) literature reviews of such models exist within given fields (e.g.

Sound Trust and the Ethics of Telecare.

The adoption of web-based telecare services has raised multifarious ethical concerns, but a traditional principle-based approach provides limited insight into how these concerns might be addressed and what, if anything, makes them problematic. We take an alternative approach, diagnosing some of the main concerns as arising from a core phenomenon of shifting trust relations that come about when the physician plays a less central role in the delivery of care, and new actors and entities are introduced. Correspondingly, we propose an applied ethics of trust based on the idea that patients should be provided with good reasons to trust telecare services, which we call sound trust.

Vulnerable populations in research: the case of the seriously ill.

This paper advances a new criterion of a vulnerable population in research. According to this criterion, there are consent-based and fairness-based reasons for calling a group vulnerable. The criterion is then applied to the case of people with serious illnesses.