Ethical and legal challenges of artificial intelligence-driven healthcare

Sara Gerke, Timo Minssen, Glenn Cohen

Research output: Chapter in Book/Report/Conference proceedingChapter

303 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Healthcare
Number of pages42
ISBN (Electronic)9780128184387
StatePublished - Jan 1 2020

All Science Journal Classification (ASJC) codes

  • General Computer Science


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