Deep Dive: Data Governance brings world-class experts together

Open Source AI
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Originally published at: Deep Dive: Data Governance brings world-class experts together – Open Source Initiative

The schedule for the Deep Dive: Data Governance virtual conference is now live. Taking place October 1–3, this premier three-day event will bring together industry leaders and world-class experts to explore the latest advancements in Data Governance and Open Source AI.

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The Deep Dive: Data Governance conference starts tomorrow.

If you haven’t registered yet, please do so here. The event is free.

The time on the schedule below is displayed EDT, UTC -4.

Please access it via our mobile website for your local time:

Time (EDT, UTC -4) Session Speaker
October 1st Stewards of the data commons
12:00 PM Opening Keynote: Data is the key to Open Source AI Stefano Maffulli
12:15 PM A data pathway to building public AI Alek Tarkowski
1:00 PM Governments as data providers for AI Neil Majithia
1:45 PM Copycats and the Commons: Governing Open Data for Trustworthy AI Natalia-Rozalia, Veronika Cheplygina, Amelia Jiménez Sánchez
2:30 PM Sovereign by Design: A Blueprint for Federated, Consent-Based AI Systems Sal Kimmich
3:15 PM Wrap-Up + Live Q&A Nick Vidal
October 2nd Frameworks for data governance
12:00 PM Keynote: Trends and Insights of China Open Source Ecosystem in AI Era Nadia Jiang, Emily Chen
12:15 PM New licensing initiatives for AI training data Ramya Chandrasekhar
1:00 PM How Data Provenance Powers Trustworthy AI Lisa Bobbitt
1:45 PM The CLeAR Documentation Framework for AI Transparency Kasia Chmielinski, S. Newman, Chris N. Kranzinger
2:30 PM Anticipatory Bias Governance in AIED: From Reactive Detection to Proactive Design Chaeyeon Lim
3:15 PM Wrap-Up + Live Q&A Nick Vidal
October 3rd Building and preserving public datasets
12:00 PM Keynote: What should open source AI aspire to be? Stefan Baack, Kasia Odrozek
12:15 PM Building Public Data for LLMs Stella Biderman
1:00 PM A new paradigm for publishing library collections: Institutional Books 1.0, a 242B token dataset Greg Leppert, Matteo Cargnelutti, Catherine Brobston
1:45 PM Beyond Extraction: Building Community-Centered Speech Data Jessica Rose
2:30 PM Saving What’s Ours: The Data Rescue Project and the Fight for Public Data Lynda Kellam, Mikala Narlock
3:15 PM Live Q&A + Closing Remarks Stefano Maffulli
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