Frontiers in Surgery· 2022Q2
Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility?
- 882citations
- Q2SCImago
- 2022year
Short summary
No well-defined regulations currently exist for the legal and ethical issues arising from AI in healthcare, necessitating a focus on algorithmic transparency, privacy, and cybersecurity.
AI-generated from the title and abstract; the full text is not read.
Key points
- AI in healthcare raises concerns about privacy, bias, and the role of human judgment.
- Errors in AI healthcare procedures can lead to devastating patient outcomes.
- Existing regulations are insufficient to address the legal and ethical complexities of AI in healthcare.
- Algorithmic transparency, privacy, and cybersecurity are critical areas requiring immediate attention.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Frontiers in Surgery, 2022 · DOI ↗
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Field: Health Informatics
Health InformaticsMedicine