{"id":59774,"date":"2025-11-13T16:47:51","date_gmt":"2025-11-13T15:47:51","guid":{"rendered":"https:\/\/www.fondazionebassetti.org\/?p=59774"},"modified":"2025-11-13T18:56:33","modified_gmt":"2025-11-13T17:56:33","slug":"public_values_in_ai_research_webinar_series","status":"publish","type":"post","link":"https:\/\/www.fondazionebassetti.org\/en\/segnalazioni_en\/2025\/11\/public_values_in_ai_research_webinar_series","title":{"rendered":"Public Values in AI Research Webinar Series"},"content":{"rendered":"

University College London (UCL) is hosting a series of weekly webinars to hear from cutting edge research developing theories and methods for understanding values in AI research.<\/p>\n

The series runs from Thursday 13th<\/sup> November to 27th<\/sup> November, and is organised as part of the ESRC Public Values in AI Research (PAIR) project<\/a>. PAIR is exploring and explaining the potential of mapping emerging AI trajectories with a view to informing government funding and regulation. Using scientometrics and cutting-edge text analysis and complemented by qualitative methods, the project assesses the feasibility of strategies for understanding the values currently implicit in AI research and development and gaps with public values.<\/p>\n

The project is funded by the UKRI Metascience programme<\/a>.<\/p>\n

WEBINAR 1<\/strong>, Thursday 13th Nov. 4-5.30pm GMT: William Agnew (Carnegie Mellon University): The Values Encoded in Machine Learning Research Chair: Cian O’Donovan (UCL) . This semiar will also include an introduction to PAIR from Jack Stilgoe, who regular readers will know from his fundamental work on responsible innovation<\/a>.<\/p>\n

WEBINAR 2<\/strong>, Thursday 20th Nov. 4-5.30pm GMT: Dror Markus (Universit\u00e4t Z\u00fcrich): Societal AI Research Has Become Less Interdisciplinary Sergio Pel\u00e1ez 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)<\/p>\n

WEBINAR 3<\/strong>, 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).<\/p>\n

Register here<\/a> to attend any or all of the three sessions.<\/p>\n","protected":false},"excerpt":{"rendered":"

University College London (UCL) is hosting a series of weekly webinars to hear from cutting edge research developing theories and methods for understanding values in AI research. The series runs from Thursday 13th November to 27th November, and is organised as part of the ESRC Public Values in AI Research (PAIR) project. PAIR is exploring … Public Values in AI Research Webinar Series<\/span><\/a><\/p>\n","protected":false},"author":22,"featured_media":60839,"comment_status":"closed","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"mc4wp_mailchimp_campaign":[],"footnotes":""},"categories":[5289],"tags":[3933,5349,5967],"class_list":["post-59774","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-segnalazioni_en","tag-redazione_fgb_en","tag-ai_en","tag-webinar"],"acf":[],"yoast_head":"\nPublic Values in AI Research Webinar Series - Fondazione Giannino Bassetti<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.fondazionebassetti.org\/en\/segnalazioni_en\/2025\/11\/public_values_in_ai_research_webinar_series\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Public Values in AI Research Webinar Series - Fondazione Giannino Bassetti\" \/>\n<meta property=\"og:description\" content=\"University College London (UCL) is hosting a series of weekly webinars to hear from cutting edge research developing theories and methods for understanding values in AI research. 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