Private Accountability in the Age of Artificial Intelligence
Sonia Katyal

TL;DR
This paper examines the conflict between civil rights and AI, emphasizing the need for private industry-led accountability measures like codes of conduct and impact statements to address algorithmic bias and transparency issues.
Contribution
It proposes shifting focus from government regulation to private industry initiatives for AI accountability and civil rights protection, highlighting new tools for transparency and bias mitigation.
Findings
Private industry can play a crucial role in AI accountability.
Tools like impact statements and whistleblower protections can reduce opacity.
Addressing algorithmic bias is essential for civil rights in the AI era.
Abstract
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, we must turn to other ways to ensure more transparency and…
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