为人工智能治理利用知识产权
C D Schmit1, M J Doerr2, J K Wagner3,4,5,6,7,8
1Department of Health Policy and Management, Texas A&M University, College Station, TX, USA.
概括
可信执行的 Copyleft AI (CAITE) 为人工智能道德提供了一个灵活的软法框架. 这种方法确保了对人工智能开发和部署负责任的适应性治理.
科学领域:
- 人工智能道德
- 技术的法律框架
背景情况:
- 人工智能的快速发展需要可适应的治理结构.
- 现有的法律框架可能无法充分解决人工智能带来的独特道德挑战.
研究的目的:
- 引入Copyleft人工智能与可信执行 (CAITE) 作为人工智能伦理的一个新方法.
- 探索CAITE在支持人工智能治理的适应性软法方面的潜力.
主要方法:
- 对CAITE的概念框架的开发.
- 在人工智能伦理背景下分析软法原则.
主要成果:
- CAITE为人工智能的灵活和可执行的道德准则提供了一种机制.
- 该模型支持可适应的软法方法,允许对AI道德标准进行代改进.
结论:
- 通过可靠的执法来管理人工智能道德, CAITE提供了一个有希望的途径.
- 这种可适应的软法模式可以促进人工智能的负责任创新.
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