AI 38%
high
2025-03-01
Optimizing the Governance of Artificial Intelligence through Soft Law: From Soft Law Pioneering to Soft-Hard Law Coordination
人工智能软法治理的优化进路：由软法先行到软法与硬法协同-曾雄、梁正、张辉
曾雄、梁正、张辉
tsinghua_aiig
This research paper argues that traditional hard law is insufficient for governing AI risks and proposes an optimized governance approach that combines the flexibility of soft law with the authority of hard law.
Document Text
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人工智能生成虚假内容、威胁个人隐私、加剧“算法黑箱”等，硬法是应对这些风险的传统规制工具。人工智能产生的风险具有快速弥散、动态难测的特点，而硬法缺乏灵活性、回应性以及规制对象过于僵化，无法独立胜任人工智能治理的任务。软法兼具灵活性、实验性以及多元主体合作等优势，与人工智能“善治”需求相适配。但软法存在规范性欠缺、权威性不足、约束力较弱以及执行无监督等缺陷。对此，应从创设、实施和监督等环节进行优化，包括健全支撑软法的硬法体系、提高软法质量、规范软法制定程序以及为软法提供执行保障机制等。
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Topics
artificial intelligence
governance
regulation
Metadata
| Publisher | 曾雄、梁正、张辉 |
| Site | tsinghua_aiig |
| Date | 2025-03-01 |
| Category | report |
| Policy Area | 人工智能治理 |
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