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Other literature type . 2025
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Conference object . 2025
License: CC BY
Data sources: Datacite
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Conference object . 2025
License: CC BY
Data sources: Datacite
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Addressing Generative AI in Technology Assessment and Scientific Policy Advice: International Perspectives

Authors: Dähms, Angelina Sophie; Mehler, Johanna; Nierling, Linda; Riousset, Pauline;

Addressing Generative AI in Technology Assessment and Scientific Policy Advice: International Perspectives

Abstract

The rise of generative artificial intelligence (AI) has sparked both fascination and concern also in scientific policy advice. The poster 'Addressing Generative AI in Technology Assessment and Scientific Policy Advice: International Perspectives' highlights the views of technology assessment (TA) institutions in the USA (U.S. Government Accountability Office), the UK (Parliamentary Office of Science and Technology and The Autonomy Institute), Finland (Committee for the Future in the Finnish Parliament) and Norway (Norwegian Board of Technology) on how recent advances in generative AI influence scientific policy advice. The study explores how TA institutions with an advisory mandate and a problem-oriented research approach respond to the emergence of generative AI and its role for their own knowledge production.

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    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.
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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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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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