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License: CC BY NC ND
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Presentation . 2025
License: CC BY NC ND
Data sources: Datacite
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Workshop - Culture in the Loop: Shaping Human-Centric AI Policy [Slides]

Authors: Lima, Eleonora; Akar, Furkan; Cirillo, Giusy; Ojanen, Atte;

Workshop - Culture in the Loop: Shaping Human-Centric AI Policy [Slides]

Abstract

The Knowledge Technologies for Democracy project (KT4D) argues that current regulatory frameworks, such as the AI Act and the Digital Services Act, do not adequately account for cultural risks or how AI technologies affect public trust, participation, and collective sense-making. In order to bring the culture’s role in the heated debate around AI and policy making in the era of fast-paced technological development, the KT4D project hosted a special policy workshop on 8 May 2025 to gather feedback on the role of culture in AI and Knowledge Technologies, based on the Culture’s Role in Navigating Technological Change publication. The aim was to engage directly with policymakers only on how cultural factors influence the risks and impacts of AI, and how policy frameworks could better reflect democratic values and public expectations.

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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!
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