Behavioral Use Licensing for Responsible AI
Behavioral Use Licensing for Responsible AI
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DOI：
10.1145/3531146.3533143
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发表时间：
2020-11
期刊：
影响因子：
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通讯作者：
Danish Contractor;Daniel J. McDuff;J. Haines;Jenny Lee;Christopher Hines;Brent J. Hecht
中科院分区：
文献类型：
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作者：
Danish Contractor;Daniel J. McDuff;J. Haines;Jenny Lee;Christopher Hines;Brent J. Hecht
随着许多不同应用对人工智能(AI)的依赖日益增加，代码、数据和模型的共享对于确保科学知识的可复制性和民主化非常重要。许多备受瞩目的学术出版场所希望代码和模型随论文一起提交和发布。此外，开发人员通常希望发布这些资产，以鼓励开发利用他们的框架和服务的技术。一些组织对不适当或不负责任地使用人工智能表示关切，并提出了关于应用这类系统的道德准则。虽然这样的指导方针可以帮助制定规范和形成政策，但它们并不容易执行。在本文中，我们提倡使用许可来实现软件和代码上可合法强制执行的行为使用条件，并提供了几个案例研究来证明行为使用许可的可行性。我们设想如何根据现有的负责任的人工智能指导方针实施许可。
With the growing reliance on artificial intelligence (AI) for many different applications, the sharing of code, data, and models is important to ensure the replicability and democratization of scientific knowledge. Many high-profile academic publishing venues expect code and models to be submitted and released with papers. Furthermore, developers often want to release these assets to encourage development of technology that leverages their frameworks and services. A number of organizations have expressed concerns about the inappropriate or irresponsible use of AI and have proposed ethical guidelines around the application of such systems. While such guidelines can help set norms and shape policy, they are not easily enforceable. In this paper, we advocate the use of licensing to enable legally enforceable behavioral use conditions on software and code and provide several case studies that demonstrate the feasibility of behavioral use licensing. We envision how licensing may be implemented in accordance with existing responsible AI guidelines.