by Sara Gerke et al., published in 2020 by the National Center for Biotechnology Information of the U.S. National Library of Medicine
This publication maps the ethical and legal challenges posed by artificial intelligence (AI) in healthcare and provides suggestions for resolving them.
This chapter will map the ethical and legal challenges posed by artificial intelligence (AI) in healthcare and suggest directions for resolving them. Section 1 will briefly clarify what AI is and Section 2 will give an idea of the trends and strategies in the United States (US) and Europe, thereby tailoring the discussion to the ethical and legal debate of AI-driven healthcare. This will be followed in Section 3 by a discussion of four primary ethical challenges, namely, (1) informed consent to use, (2) safety and transparency, (3) algorithmic fairness and biases, and (4) data privacy. Section 4 will then analyze five legal challenges in the US and Europe: (1) safety and effectiveness, (2) liability, (3) data protection and privacy, (4) cybersecurity, and (5) intellectual property law. Finally, Section 5 will summarize the major conclusions and especially emphasize the importance of building an AI-driven healthcare system that is successful and promotes trust and the motto Health AIs for All of Us.
for articles/videos/studies
Healthcare professionals who wish to be part of a unique network, providing access to up-to-date, accurate and validated information about clinical research.
Investigators and study staff who wish to be part of a unique network, in order to stay abreast of clinical trials taking place in Luxembourg and who are willing to further develop their competencies.
