Ethical and legal challenges of artificial intelligence-driven healthcare
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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.
Original language | English |
---|---|
Title of host publication | Artificial Intelligence in Healthcare |
Editors | Adam Bohr, Kaveh Memarzadeh |
Number of pages | 42 |
Publisher | Elsevier |
Publication date | 2020 |
Pages | 295-336 |
Chapter | 12 |
ISBN (Electronic) | 9780128184387 |
DOIs | |
Publication status | Published - 2020 |
Bibliographical note
Publisher Copyright:
© 2020 Elsevier Inc. All rights reserved.
- Artificial intelligence (AI), Data protection and privacy, Ethical challenges, Safety and effectiveness, US and EU law
Research areas
ID: 325293079