The Artificial Intelligence Doctor: Considerations for the Clinical Implementation of Ethical AI.

Journal: Acta neurochirurgica. Supplement
Published Date:

Abstract

The applications of artificial intelligence (AI) and machine learning (ML) in modern medicine are growing exponentially, and new developments are fast-paced. However, the lack of trust and appropriate legislation hinder its clinical implementation. Recently, there is a clear increase of directives and considerations on Ethical AI. However, most literature broadly deals with ethical tensions on a meta-level without offering hands-on advice in practice. In this article, we non-exhaustively cover basic practical guidelines regarding AI-specific ethical aspects, including transparency and explicability, equity and mitigation of biases, and lastly, liability.

Authors

  • Julius M Kernbach
    Department of Neurosurgery, RWTH Aachen University Hospital, Aachen, Germany.
  • Karlijn Hakvoort
    Neurosurgical Artificial Intelligence Laboratory Aachen (NAILA), RWTH Aachen University Hospital, Aachen, Germany.
  • Jonas Ort
    Neurosurgical Artificial Intelligence Laboratory Aachen (NAILA), RWTH Aachen University Hospital, Aachen, Germany.
  • Hans Clusmann
    Department of Neurosurgery, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.
  • Georg Neuloh
    Department of Neurosurgery, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.
  • Daniel Delev
    Neurosurgical Artificial Intelligence Laboratory Aachen (NAILA), RWTH Aachen University Hospital, Aachen, Germany.