Regulation for Systemic Artificial Intelligence Safety:Interoperable Regulations and a Pragmatic Enforcement Strategy for Mitigating Unintended Consequences

Liza, Farhana Ferdousi (2024) Regulation for Systemic Artificial Intelligence Safety:Interoperable Regulations and a Pragmatic Enforcement Strategy for Mitigating Unintended Consequences. In: The Regulation of Artificial Intelligence. European Liberal Forum, pp. 74-99. ISBN 9782390670742

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Abstract

The fourth chapter analyzes the evolving landscape of AI regulations, focusing on the challenges of ensuring systemic safety and pragmatic enforcement strategies while addressing unintended consequences such as stifling innovation, creating compliance burdens, and fostering international cooperation for consistent AI governance across different jurisdictions.

Item Type: Book Section
Additional Information: Published by the European Liberal Forum EUPF with the support of the Friedrich Naumann Foundation and Zavod 14. Co-funded by the European Parliament and ARIS (P5-0093).
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
Faculty of Science > Research Groups > Data Science and AI
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Depositing User: LivePure Connector
Date Deposited: 18 Nov 2024 14:30
Last Modified: 22 Feb 2025 01:23
URI: https://ueaeprints.uea.ac.uk/id/eprint/97707
DOI:

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