Year: 2026
Type: article
Abstract: Poor public understanding of artificial intelligence (AI) systems has become a matter of acute concern. Even when lacking expert technical knowledge, there are good democratic, economic and other societal reasons for ensuring that the public right to know operates effectively in the AI era. Yet, the trade-secret claims of AI providers and deployers are widely seen as a potential barrier to information disclosure rights and duties, which has provoked calls for areas of significant public interest to be carved out from the protections of trade-secrets law. Such transparency carve-outs are, however, likely to lead to uncertainty, over-inclusion and ineffectiveness. In this article, we argue that the dynamic, public-driven character of the right to know can be better secured through third-party participation and public-interest stewardship innovations in AI transparency.
Source: The Cambridge Law Journal
Authors: Perry Keller, Tanya Aplin
Institution: King's College London
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,550
OpenAlex ID: W7140074758
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