Trustworthy Bioethicists within Lifecycles of Artificial Intelligence in Health

Abstract

In this chapter, we discuss how trustworthy bioethicists can contribute to lifecycles of artificial intelligence (AI) in health to support ethical development, deployment, and use of AI technology. We argue that a specific approach labeled “translational ethics” calls for awareness of limitations (and not merely opportunities) to what assessments and decision-making bioethicists should rightfully claim authority over. We probed further into the role of translational bioethicist by discussing “interactionable” expertise, and two models, the multidisciplinary approach and shared ethical competency approach, for how bioethics can contribute in decision-making within the lifecycles of AI systems in trustworthy ways. The shared ethical competency approach occurs as the strongest anchored approach to deal with strong economic and political interests with the potential to oppose ethical solutions. It provides bioethicists with the task of educating AI developers and medical personnel in ethics but leaves a new and unexplored area of ethics for AI developers and medical personnel to claim authority over and develop further.