Public Values in AI Research Webinar Series
A series of webinars to hear from cutting edge research developing theories and methods for understanding values in AI research. Organised as part of the ESRC Public Values in AI Research project.
Public Values in AI Research Webinar Series
13 Nov 2025 - 27 Nov 2025
WEBINAR 1
Thursday 13th Nov. 4-5.30pm GMT
William Agnew (Carnegie Mellon University)
The Values Encoded in Machine Learning Research
Chair: Cian O'Donovan (UCL) with introductions to the PAIR project from Jack Stilgoe (UCL)
WEBINAR 2
Thursday 20th Nov. 4-5.30pm GMT
Dror Markus (Universität Zürich)
Societal AI Research Has Become Less Interdisciplinary
Sergio Peláez Sierra (Inter-American Development Bank)
Large-scale text analysis using generative language models: A case study in discovering public value expressions in AI patents
Chair: Tommaso Ciarli (UNU-MERIT)
WEBINAR 3
Thursday 27th Nov. 4-5.30pm GMT
Shazeda Ahmed (UCLA)
Field-building and the epistemic culture of AI safety
Atoosa Kasirzadeh (Carnegie Mellon University)
AI safety for everyone
Chair: Noortje Marres (University of Warwick)
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Register once here to attend any or all of the three sessions.
About the Public Values in AI Research project (PAIR)
AI is hard to define, hard to see and hard to hold to account, which presents substantial methodological challenges. The Public Values in AI Research project (PAIR) is exploring and explaining the potential of mapping emerging AI trajectories with a view to informing government funding and regulation. We are assessing the feasibility of strategies for understanding the values currently implicit in AI research and development and the gaps with public values. The research is using scientometrics and cutting-edge text analysis, complemented by qualitative methods.
The project is funded by the UKRI Metascience programme.
Further information
Ticketing
Open
Cost
Free
Open to
All