Ethical and Legal Challenges of Artificial Intelligence-Driven Health Care

Sara Gerke, Timo Minssen, Glenn Cohen

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Abstract

This chapter will map the ethical and legal challenges posed by artificial intelligence (AI) in health care 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 (U.S.) and Europe, thereby tailoring the discussion to the ethical and legal debate of AI-driven health care. 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 U.S. 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 health care system that is successful and promotes trust and the motto “Health AIs for All of Us”.

Keywords: Artificial Intelligence (AI), ethical challenges, U.S. and EU law, safety and effectiveness, data protection and privacy
Original languageEnglish
Title of host publicationArtificial Intelligence in Healthcare
EditorsAdam Bohr, Kaveh Memarzadeh
Number of pages42
PublisherElsevier
Publication date23 Jun 2020
Edition1
Pages295-336
Chapter12
ISBN (Print)9780128184387
ISBN (Electronic)9780128184394
Publication statusPublished - 23 Jun 2020

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