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Participatory practice seeks to ensure that the development and governance of AI is shaped by diverse voices, including from marginalised and underrepresented communities. This can challenge traditional, top-down and expert-driven approaches to AI governance, and raises important questions about power, agency, representation and accountability. Amid a potential “participatory turn” in both the development and governance of AI we need to critically explore what participatory AI looks like, how and why to do it, as well as what can go wrong.
On the eve of the Paris Artificial Intelligence Action Summit this second part (see part 1 online) of the Participatory AI Research & Practice Symposium featured presentations and workshops exploring questions of participatory AI development, governance and resistance.
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📽️ The event was webcast and a playlist of recordings is available on YouTube here.
Recordings are also individual linked in the agenda items below.
Please bring ID. Note, the venue does not have a cloak room or space to store large bags.
Coffee is served in the cafeteria on the lower ground floor.
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Opening remarks from Tim Davies (Connected by Data) & Pierre Noro (Technology and Global Affairs Innovation Hub at Sciences Po) | 📽️ Watch recording
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Chair: Meg Young (Data & Society) | 📽️ Watch recording
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Chair: Octavia Field-Reid (Ada Lovelace Institute) | 📽️ Watch recording
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Chair: Renee Sieber (McGill University) [Collaborative notes] | 📽️ Watch recording
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