Private Accountability in an Age of Artificial Intelligence

Private Accountability in an Age of Artificial Intelligence
复制标题

人工智能时代的私人责任

DOI:
10.1017/9781108680844.004
复制
发表时间:
2019
期刊:
The Cambridge Handbook of the Law of Algorithms
影响因子:
--
通讯作者:
Sonia K. Katyal
Sonia K. Katyal
中科院分区:
--
文献类型:
--
作者:
Sonia K. Katyal

文献摘要

被引文献

相似文献

作者:Katyal,SK|摘要:© 2019美国统计协会。All Rights Reserved.在这篇文章中,我探讨了公民权利保护与人工智能(AI)之间即将发生的冲突。虽然这两个法律领域都积累了丰富而发达的学术工作和理论支持领域,但越来越多的学者正在质疑它们之间的交叉点。本文认为,围绕算法问责的问题表明,新一代法律和技术纠纷中存在更深层次、更结构性的紧张关系。正如我所认为的,人工智能的真正前景并不在于我们向彼此透露的信息,而在于它提出的关于技术、财产和公民权利相互作用的问题。出于这个原因,我认为,如果我们只指望国家来解决算法问责问题,我们就找错了地方。相反,鉴于国家不愿解决这个问题,我们必须转向其他方式,以确保更多的透明度和问责制,这源于私营企业,而不是公共监管。算法偏见的问题代表了一个重要的新世界的公民权利的关注,一个在性质上不同于它之前的那些.因为我们在一个世界里,私营公司的活动,而不是国家,正在提高对隐私的关注,正当程序,和歧视,我们必须专注于私营公司在解决这个问题中的作用.为此,我讨论了各种工具,以帮助消除人工智能的不透明性,包括行为准则,影响声明和举报人保护,我认为这有可能鼓励在民权执法中更大的包容性。最终,通过研究私营企业与公民权利之间的关系,我们或许可以在这一过程中发展出新一代的问责制形式。
Author(s): Katyal, SK | Abstract: © 2019 American Statistical Association. All Rights Reserved. In this Article, I explore the impending conflict between the protection of civil rights and artificial intelligence (AI). While both areas of law have amassed rich and well-developed areas of scholarly work and doctrinal support, a growing body of scholars are interrogating the intersection between them. This Article argues that the issues surrounding algorithmic accountability demonstrate a deeper, more structural tension within a new generation of disputes regarding law and technology. As I argue, the true promise of AI does not lie in the information we reveal to one another, but rather in the questions it raises about the interaction of technology, property, and civil rights. For this reason, I argue that we are looking in the wrong place if we look only to the state to address issues of algorithmic accountability. Instead, given the state's reluctance to address the issue, we must turn to other ways to ensure more transparency and accountability that stem from private industry, rather than public regulation. The issue of algorithmic bias represents a crucial new world of civil rights concerns, one that is distinct in nature from the ones that preceded it. Since we are in a world where the activities of private corporations, rather than the state, are raising concerns about privacy, due process, and discrimination, we must focus on the role of private corporations in addressing the issue. Towards this end, I discuss a variety of tools to help eliminate the opacity of AI, including codes of conduct, impact statements, and whistleblower protection, which I argue carries the potential to encourage greater endogeneity in civil rights enforcement. Ultimately, by examining the relationship between private industry and civil rights, we can perhaps develop a new generation of forms of accountability in the process.