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From Rule of Law to Statute Drafting 从法治到法规起草
The Cambridge Handbook of the Law of Algorithms
Pub Date : 2020-10-31 DOI: 10.1017/9781108680844.014
Monika Zalnieriute, L. Crawford, J. Boughey, Lyria Bennett Moses, Sarah Logan
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引用次数: 0
Moral Machines 道德的机器
The Cambridge Handbook of the Law of Algorithms
Pub Date : 2020-10-31 DOI: 10.1017/9781108680844.032
A. Renda
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引用次数: 0
Tort Law 侵权法
The Cambridge Handbook of the Law of Algorithms
Pub Date : 2020-10-31 DOI: 10.1017/9781108680844.024
Karni Chagal-Feferkorn
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引用次数: 0
Discrimination in the Age of Algorithms 算法时代的歧视
The Cambridge Handbook of the Law of Algorithms
Pub Date : 2020-10-31 DOI: 10.1017/9781108680844.010
R. Nunn
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引用次数: 0
On Being Trans-Human: Commercial BCIs and the Quest for Autonomy 关于成为超人:商业脑机接口和对自主性的追求
The Cambridge Handbook of the Law of Algorithms
Pub Date : 2020-10-31 DOI: 10.1017/9781108680844.036
Argyro P. Karanasiou
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引用次数: 1
Index 指数
The Cambridge Handbook of the Law of Algorithms
Pub Date : 2020-10-31 DOI: 10.1017/9781108680844.037
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引用次数: 0
The Opinion of Machines 机器的观点
The Cambridge Handbook of the Law of Algorithms
Pub Date : 2020-10-31 DOI: 10.1017/9781108680844.003
Curtis E. A. Karnow
Economic
经济
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引用次数: 5
Algorithmic Legitimacy 算法的合法性
The Cambridge Handbook of the Law of Algorithms
Pub Date : 2020-10-31 DOI: 10.1017/9781108680844.005
A. Waldman
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引用次数: 3
Four Modes of Speech Protection for Algorithms 四种算法的语音保护模式
The Cambridge Handbook of the Law of Algorithms
Pub Date : 2019-03-15 DOI: 10.2139/ssrn.3516797
Kyle Langvardt
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引用次数: 0
Private Accountability in an Age of Artificial Intelligence 人工智能时代的个人责任
The Cambridge Handbook of the Law of Algorithms
Pub Date : 2019-01-03 DOI: 10.1017/9781108680844.004
Sonia K. Katyal
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.
作者:Katyal, SK |摘要:©2019美国统计协会。版权所有。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，但越来越多的学者正在质疑它们之间的交集。本文认为，围绕算法问责制的问题表明，在新一代关于法律和技术的争议中，存在更深层次、更具结构性的紧张关系。正如我所说，人工智能的真正前景不在于我们向彼此透露的信息，而在于它提出的关于技术、财产和公民权利之间相互作用的问题。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，那我们就找错地方了。相反，鉴于国家不愿解决这个问题，我们必须转向其他途径，以确保更多的透明度和问责制，这些透明度和问责制来自私营企业，而不是公共监管。算法偏见问题代表了一个重要的民权问题新世界，它在本质上不同于之前的问题。由于我们所处的世界，是私营企业的活动而不是国家的活动引起了人们对隐私、正当程序和歧视的担忧，我们必须把重点放在私营企业在解决这一问题方面的作用上。为此，我讨论了各种工具来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，我认为这些工具有可能在民权执法中鼓励更大的内生性。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形式。
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