Ethical and Legal Challenges of Artificial Intelligence-Driven Health Care
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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Ethical and Legal Challenges of Artificial Intelligence-Driven Health Care. / Gerke, Sara; Minssen, Timo; Cohen, Glenn .
Artificial Intelligence in Healthcare. ed. / Adam Bohr; Kaveh Memarzadeh. 1. ed. Elsevier, 2020. p. 295-336.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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TY - CHAP
T1 - Ethical and Legal Challenges of Artificial Intelligence-Driven Health Care
AU - Gerke, Sara
AU - Minssen, Timo
AU - Cohen, Glenn
PY - 2020/6/23
Y1 - 2020/6/23
N2 - 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
AB - 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
UR - https://www.elsevier.com/books/artificial-intelligence-in-healthcare/bohr/978-0-12-818438-7
M3 - Book chapter
SN - 9780128184387
SP - 295
EP - 336
BT - Artificial Intelligence in Healthcare
A2 - Bohr, Adam
A2 - Memarzadeh, Kaveh
PB - Elsevier
ER -
ID: 214518711