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Bridging AI international policy and practice: the AIDV approach

Authors: Meyers, Natalie; Crawley, Francis P.; Kim, Seonyoung; Buendia, Patricia; Roa, Rodrigo; Jay, Madhava;

Bridging AI international policy and practice: the AIDV approach

Abstract

This presentation was delivered during the breakout session “Bridging AI International Policy and Practice: The AIDV Approach” at International Data Week 2025 in Brisbane, Australia, on October 15, 2025. The session was led by Francis Crawley and Natalie Meyers, co-chairs of the Research Data Alliance (RDA) Artificial Intelligence and Data Visitation (AIDV) Working Group. The session opened with introductory remarks from the AIDV co-chairs. Natalie Meyers provided an overview of the AIDV WG outputs and the DV4RDA project, funded through the RDA TIGER grant, before transitioning to the panel presentations and discussions. The panel included two moderators, Francis Crawley and Natalie Meyers (AIDV WG Co-Chairs), and four speakers, each presenting a distinct perspective on advancing data visitation practices: • Rodrigo Roa (Data Observatory, invited guest speaker), Policy into Practice & the Data Observatory Experience• Seonyoung Kim (Washington University in St. Louis, AIDV WG member), Use Case: Policy and Compliance for Data Visitation• Patricia Buendia (Lifetime Omics, AIDV WG member), Use Case: FAIRlyz Implementation of AIDV Policies• Madhava Jay (OpenMined, invited guest speaker), SyftBox: A General Purpose Solution for Data Visitation and Equitable Data Sharing The slide deck includes the AIDV Working Group's core outputs, an overview of the DV4RDA project, and individual presentations from each panelist. This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101094406. For additional information, please refer to the RDA P25 AIDV Group Session information page and the session’s collaborative notes.

Keywords

Informed Consent, Policy, Artificial Intelligence, Information exchange, Policy guideline, Data exchange, Data Systems, Data Visitation, Data protection

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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
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Research Data Alliance