Ethical and legal challenges of artificial intelligence-driven healthcare

Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

Standard

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

Harvard

Gerke, S, Minssen, T & Cohen, G 2020, Ethical and legal challenges of artificial intelligence-driven healthcare. i A Bohr & K Memarzadeh (red), Artificial Intelligence in Healthcare. Elsevier, s. 295-336. https://doi.org/10.1016/B978-0-12-818438-7.00012-5

APA

Gerke, S., Minssen, T., & Cohen, G. (2020). Ethical and legal challenges of artificial intelligence-driven healthcare. I A. Bohr, & K. Memarzadeh (red.), Artificial Intelligence in Healthcare (s. 295-336). Elsevier. https://doi.org/10.1016/B978-0-12-818438-7.00012-5

Vancouver

Gerke S, Minssen T, Cohen G. Ethical and legal challenges of artificial intelligence-driven healthcare. I Bohr A, Memarzadeh K, red., Artificial Intelligence in Healthcare. Elsevier. 2020. s. 295-336 https://doi.org/10.1016/B978-0-12-818438-7.00012-5

Author

Gerke, Sara ; Minssen, Timo ; Cohen, Glenn. / Ethical and legal challenges of artificial intelligence-driven healthcare. Artificial Intelligence in Healthcare. red. / Adam Bohr ; Kaveh Memarzadeh. Elsevier, 2020. s. 295-336

Bibtex

@inbook{a5854f25ade94503b34d079d975c3220,

title = "Ethical and legal challenges of artificial intelligence-driven healthcare",

abstract = "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.",

keywords = "Artificial intelligence (AI), Data protection and privacy, Ethical challenges, Safety and effectiveness, US and EU law",

author = "Sara Gerke and Timo Minssen and Glenn Cohen",

year = "2020",

doi = "10.1016/B978-0-12-818438-7.00012-5",

language = "English",

pages = "295--336",

editor = "Bohr, {Adam } and Memarzadeh, {Kaveh }",

booktitle = "Artificial Intelligence in Healthcare",

publisher = "Elsevier",

}

RIS

TY - CHAP

T1 - Ethical and legal challenges of artificial intelligence-driven healthcare

AU - Gerke, Sara

AU - Minssen, Timo

AU - Cohen, Glenn

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

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