헬스케어 AI의 위험 및 부작용에 대한 실체적·절차적 규제 방법
Substantive and Procedural Methods to Regulate the Risks and Side Effects of Healthcare AI
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초록
As advances in artificial intelligence (AI) research and development edge closer to achieving Artificial General Intelligence (AGI), concerns about the risks and side effects of healthcare AI are growing. In response to these concerns, this study reviews the regulatory measures proposed in the lead article for this volume, which are categorized into substantive and procedural approaches to AI regulation. Special attention is given to the verification entities described in the procedural approach to critically assess their role in mitigating the risks or unintended consequences of healthcare AI.
Abstract
As advances in artificial intelligence (AI) research and development edge closer to achieving Artificial General Intelligence (AGI), concerns about the risks and side effects of healthcare AI are growing. In response to these concerns, this study reviews the regulatory measures proposed in the lead article for this volume, which are categorized into substantive and procedural approaches to AI regulation. Special attention is given to the verification entities described in the procedural approach to critically assess their role in mitigating the risks or unintended consequences of healthcare AI.
참고문헌 (6)
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- Yang H, "Safety issues of artificial intelligence and policy responses", J Korean Inst Commun Inf Sci, 43(10), pp.1724~1732 (2018)[DOI]
- Le WB, "U. S. Antidiscrimination law in healthcare & algorithmic bias : its lessons for South Korean legislation", Public Law J, 25(2), pp.175~203 (2023)[DOI]
- Lee SB, "A trend of artificial intelligence in the healthcare", J Korea Content Assoc, 20(5), pp.448~456 (2020)[DOI]
- Research ethics guidelines: for healthcare AI researchers, "Korean National Institute of Health", National Institute of Health, ~ (2023)
- "Ethics and governance of artificial intelligence for health" (2021)[URL]
