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Bergen Open Research Archive - UiB
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The AI Act and the Risks Posed by Generative AI Models.

Authors: Elgesem, Dag;

The AI Act and the Risks Posed by Generative AI Models.

Abstract

This position paper presents work in progress on the foundation of the not yet finalized AI Act and discusses whether the proposed AI Act has the resources to adequately identify and mitigate the risks posed by generative AI models like LLMs. All the details of AI Act are not yet decided but after the EU Council reached a consensus on a revised version of proposal issued by the Commission, the main principles of this risk-based model of regulation are in place. We argue that the methods for risk identification and mitigation in the act, while adequate to the management of many risks emerging from the use of AI systems, are not suitable for the management of all risks emerging from generative AI systems like LLMs publishedVersion

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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