Ethical and legal challenges of artificial intelligence-driven healthcare
Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
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Ethical and legal challenges of artificial intelligence-driven healthcare. / Gerke, Sara; Minssen, Timo; Cohen, Glenn.
Artificial Intelligence in Healthcare. red. / Adam Bohr; Kaveh Memarzadeh. Elsevier, 2020. s. 295-336.Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
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TY - CHAP
T1 - Ethical and legal challenges of artificial intelligence-driven healthcare
AU - Gerke, Sara
AU - Minssen, Timo
AU - Cohen, Glenn
N1 - Publisher Copyright: © 2020 Elsevier Inc. All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Artificial intelligence (AI)
KW - Data protection and privacy
KW - Ethical challenges
KW - Safety and effectiveness
KW - US and EU law
UR - http://www.scopus.com/inward/record.url?scp=85124923745&partnerID=8YFLogxK
U2 - 10.1016/B978-0-12-818438-7.00012-5
DO - 10.1016/B978-0-12-818438-7.00012-5
M3 - Book chapter
AN - SCOPUS:85124923745
SP - 295
EP - 336
BT - Artificial Intelligence in Healthcare
A2 - Bohr, Adam
A2 - Memarzadeh, Kaveh
PB - Elsevier
ER -
ID: 325293079