Ethical and Legal Challenges of Artificial Intelligence-Driven Health Care

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Standard

Ethical and Legal Challenges of Artificial Intelligence-Driven Health Care. / Gerke, Sara; Minssen, Timo; Cohen, Glenn .

Artificial Intelligence in Healthcare. red. / Adam Bohr; Kaveh Memarzadeh. 1. udg. Elsevier, 2020. s. 295-336.

Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

Harvard

Gerke, S, Minssen, T & Cohen, G 2020, Ethical and Legal Challenges of Artificial Intelligence-Driven Health Care. i A Bohr & K Memarzadeh (red), Artificial Intelligence in Healthcare. 1 udg, Elsevier, s. 295-336.

APA

Gerke, S., Minssen, T., & Cohen, G. (2020). Ethical and Legal Challenges of Artificial Intelligence-Driven Health Care. I A. Bohr, & K. Memarzadeh (red.), Artificial Intelligence in Healthcare (1 udg., s. 295-336). Elsevier.

Vancouver

Gerke S, Minssen T, Cohen G. Ethical and Legal Challenges of Artificial Intelligence-Driven Health Care. I Bohr A, Memarzadeh K, red., Artificial Intelligence in Healthcare. 1 udg. Elsevier. 2020. s. 295-336

Author

Gerke, Sara ; Minssen, Timo ; Cohen, Glenn . / Ethical and Legal Challenges of Artificial Intelligence-Driven Health Care. Artificial Intelligence in Healthcare. red. / Adam Bohr ; Kaveh Memarzadeh. 1. udg. Elsevier, 2020. s. 295-336

Bibtex

@inbook{0a6050a8359f41e082b888a75111e3af,
title = "Ethical and Legal Challenges of Artificial Intelligence-Driven Health Care",
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",
author = "Sara Gerke and Timo Minssen and Glenn Cohen",
year = "2020",
month = "6",
day = "23",
language = "English",
isbn = "9780128184387",
pages = "295--336",
editor = "Adam Bohr and Memarzadeh, {Kaveh }",
booktitle = "Artificial Intelligence in Healthcare",
publisher = "Elsevier",
address = "Netherlands",
edition = "1",

}

RIS

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