Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility?
By Nithesh Naik, B. Hameed, Dasharathraj K. Shetty, Dishant Swain, M. Shah, R. Paul, K. Aggarwal, Sufyan Ibrahim, Vathsala Patil, Komal Smriti and 4 more. Frontiers in Surgery, 2022
711 citations recorded by the source corpus.
The legal and ethical issues that confront society due to Artificial Intelligence (AI) include privacy and surveillance, bias or discrimination, and potentially the philosophical challenge is the role of human judgment. Concerns about newer digital technologies becoming a new source of inaccuracy and data breaches have arisen as a result of its use. Mistakes in the procedure or protocol in the field of healthcare can have devastating consequences for the patient who is the victim of the error. Because patients come into contact with physicians at moments in their lives when they are most vulnerable, it is crucial to remember this. Currently, there are no well-defined regulations in place to address the legal and ethical issues that may arise due to the use of artificial intelligence in healthcare settings. This review attempts to address these pertinent issues highlighting the need for algorithmic transparency, privacy, and protection of all the beneficiaries involved and cybersecurity of associated vulnerabilities.
Subfields: Health Informatics, Public Health, Environmental and Occupational Health, Safety Research
View Paper: https://www.semanticscholar.org/paper/e8441a9d8c22f333b4092d3a95d3fbb64a36d428
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Citations in the corpus
- The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies (2022, background): “As discussed in the previous section, it is important to consider the ethical implications of using AI in this field [55,56].”
- Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health (2023, background): “Debates on legal and ethical concerns of using AI for medicine and healthcare have been carried out continuously in recent years [119].”
- Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives (2024, background): “The challenge lies in identifying responsibility when machines are capable of operating under non-rigid rules and independently acquiring new behavioral patterns [122].”