• Artificial Intelligence in Medicine: Ethical and Legal Challenges - a conversation

  • 2024/12/06
  • 再生時間: 14 分
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Artificial Intelligence in Medicine: Ethical and Legal Challenges - a conversation

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  • checkout this interesting paper as a host/guest conversation


    Summary

    This article examines the ethical and legal implications of using artificial intelligence (AI) in medicine. It explores the potential benefits of AI in various medical applications, such as diagnosis and treatment, while also highlighting potential challenges like algorithmic bias, economic disruption to healthcare systems, and the need for interdisciplinary collaboration to address these issues. The authors advocate for a human-centered approach to AI development and implementation, emphasizing transparency, explainability, and the importance of considering broader societal impacts. They support this with a systematic literature review and analysis of existing and proposed legislation in both the European Union and Brazil. Ultimately, the article stresses the necessity of moving beyond a solely legal perspective to achieve responsible AI integration in healthcare.

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あらすじ・解説

checkout this interesting paper as a host/guest conversation


Summary

This article examines the ethical and legal implications of using artificial intelligence (AI) in medicine. It explores the potential benefits of AI in various medical applications, such as diagnosis and treatment, while also highlighting potential challenges like algorithmic bias, economic disruption to healthcare systems, and the need for interdisciplinary collaboration to address these issues. The authors advocate for a human-centered approach to AI development and implementation, emphasizing transparency, explainability, and the importance of considering broader societal impacts. They support this with a systematic literature review and analysis of existing and proposed legislation in both the European Union and Brazil. Ultimately, the article stresses the necessity of moving beyond a solely legal perspective to achieve responsible AI integration in healthcare.

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