Li, Z. (2023) Why the European AI Act transparency obligation is insufficient. Nature Machine Intelligence, 5, pp. 559-560. (doi: 10.1038/s42256-023-00672-y)
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Abstract
With the development of the AI Act, the EU is making the first and globally most ambitious attempt to regulate AI. However, the proposed AI Act, which uses a risk-based taxonomy for AI regulation, encounters difficulties when applied to general-purpose large language models (LLMs) and likely underestimates the risks posed by these new AI models. This correspondence warns that the AI Act must evolve further to mitigate such risks.
Item Type: | Articles (Letter) |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Li, Mr Zihao |
Authors: | Li, Z. |
College/School: | College of Social Sciences > School of Law |
Journal Name: | Nature Machine Intelligence |
Publisher: | Nature Research |
ISSN: | 2522-5839 |
ISSN (Online): | 2522-5839 |
Published Online: | 08 June 2023 |
Copyright Holders: | Copyright © 2023 Nature Research |
First Published: | First published in Nature Machine Intelligence 2023 |
Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
University Staff: Request a correction | Enlighten Editors: Update this record