Embedded ethics: a proposal for integrating ethics into the development of medical AI.

Journal: BMC medical ethics
Published Date:

Abstract

The emergence of ethical concerns surrounding artificial intelligence (AI) has led to an explosion of high-level ethical principles being published by a wide range of public and private organizations. However, there is a need to consider how AI developers can be practically assisted to anticipate, identify and address ethical issues regarding AI technologies. This is particularly important in the development of AI intended for healthcare settings, where applications will often interact directly with patients in various states of vulnerability. In this paper, we propose that an 'embedded ethics' approach, in which ethicists and developers together address ethical issues via an iterative and continuous process from the outset of development, could be an effective means of integrating robust ethical considerations into the practical development of medical AI.

Authors

  • Stuart McLennan
    Technical University of Munich.
  • Amelia Fiske
    Institute of History and Ethics in Medicine, Department of Preclinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany. a.fiske@tum.de.
  • Daniel Tigard
    Technical University of Munich.
  • Ruth Müller
    Technical University of Munich.
  • Sami Haddadin
    Chair of Robotics Science and Systems Intelligence and Munich School of Robotics and Machine Intelligence, Heßstraße 134, 80797 München, Germany.
  • Alena Buyx
    Institute for History and Ethics of Medicine, Technical University of Munich School of Medicine, Technical University of Munich, Munich, Germany.