| Literature DB >> 34862549 |
Julius M Kernbach1,2, Karlijn Hakvoort3,4, Jonas Ort3,4, Hans Clusmann4, Georg Neuloh4, Daniel Delev3,4.
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.Entities:
Keywords: Artificial intelligence; Deep learning; Machine learning; Neurooncology; Neurosurgery
Mesh:
Year: 2022 PMID: 34862549 DOI: 10.1007/978-3-030-85292-4_29
Source DB: PubMed Journal: Acta Neurochir Suppl ISSN: 0065-1419