基于社会破坏性的人工智能治理方法:补充人工智能法案的基于风险的方法
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在PubMed上查看摘要
概括
此摘要是机器生成的。人工智能治理需要的不仅仅是风险评估. 基于社会破坏性的方法,补充了人工智能法,解决了人工智能的更广泛的社会和道德影响,以改善监管.
科学领域
- 社会技术系统
- 人工智能治理
- 法律规范
背景情况
- 欧盟的人工智能法采用基于风险的方法来规范人工智能系统.
- 现有的人工智能治理框架可能无法完全捕捉到人工智能的更广泛的社会技术影响.
- 社会和道德问题源于人工智能的破坏性潜力,超出了法律风险.
研究的目的
- 为人工智能治理提出"基于社会颠覆性"的方法.
- 通过关注社会影响来补充人工智能法案的基于风险的框架.
- 加强人工智能和其他社会颠覆性技术的治理.
主要方法
- 对人工智能法的基于风险的方法进行分析.
- 基于社会颠覆性的治理框架的概念化.
- 法律,道德和人类实践方面的考虑.
主要成果
- 结合基于风险和基于社会颠覆性评估的双重方法提供了对人工智能的社会影响的更细致的理解.
- 社会颠覆性突显出仅仅通过法律法规来解决不易的问题.
- 这种综合方法可以改善人工智能系统的治理.
结论
- 有效的人工智能治理需要解决法律风险和更广泛的社会干扰.
- 整合社会颠覆性镜头提高了人工智能监管的全面性.
- 这一框架支持在动态的社会技术环境中的适应性治理.
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