On Regulating Downstream AI Developers

Foundation models – models trained on broad data that can be adapted to a wide range of downstream tasks – can pose significant risks, ranging from intimate image abuse, cyberattacks, to bioterrorism. To reduce these risks, policymakers are starting to impose obligations on the developers of these m...

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Bibliographic Details
Main Authors: Sophie Williams, Jonas Schuett, Markus Anderljung
Format: Article
Language:English
Published: Cambridge University Press
Series:European Journal of Risk Regulation
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S1867299X25100202/type/journal_article
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