FATHOM II

Diving deeper with panel discussions

Join the panel discussions

Four experts in four online conversations will further dissect the issues posed by AI systems to the Open Source communities and society as a whole.

Business

Explore the business models in AI, what’s foreseeable to collaborate on datasets, models and other artifacts of AI/ML. What should be the rules of engagement for fair competition, what areas are the most challenging, what experience from the Open Source movement can be taken to work on AI components, what challenges and limitations can be foreseen.

Astor Nummelin Carlberg

Astor Nummelin Carlberg

Executive Director, Open Forum Europe

Sal Kimmich

Sal Kimmich

Developer Relations - Open Source

David Kanter

David Kanter

Executive Director of MLCommons

Stella Biederman

Stella Biederman

Eluether AI

Society

AI impacts everyday life. Open Source software is supposed to help generate local economies, distribute knowledge, reduce dependence on foreign corporations, stimulate competition and prevent monopolies. What can we do to balance the power of corporations in AI? How can the society as a whole maintain control of AI systems?

Kat Walsh

Kat Walsh

General Counsel, Creative Commons

Carlos Muñoz Ferrandis

Carlos Muñoz Ferrandis

AI Counsel, Hugging Face

Luis Villa

Luis Villa

Co-founder and General Counsel, Tidelift

Legal

A focus on legal aspects, from what is copyrightable as output of AI (the images produced by DALL-E or the code snippets from Copilot) in the current legal systems. We’ll better understand concepts like the right to data mining, what are the gray areas for redistribution of training datasets, pre-trained models and other artifacts of AI.

Pamela Chestek

Pamela Chestek

Principal, Chestek Legal

Danish Contractor

Danish Contractor

Researcher, IBM Research

Mark Surman

Mark Surman

Executive Director, Mozilla Foundation

Academia

Open Source software started in academic circles, and AI is not different. How are academics sharing datasets and models? What do they need to be able to replicate experiments and improve on their knowledge? What legal obstacles do they find? What social norms prevent collaboration?

Jennifer Lee

Jennifer Lee

Technology and Liberty Project Manager, ACLU-WA

Chris Albon

Chris Albon

Director of Machine Learning, Wikimedia Foundation

Ibrahim Haddad, Ph.D.

Ibrahim Haddad, Ph.D.

General Manager, LF AI & Data Foundation

Amy Heineike

Amy Heineike

VP Engineering, 7bridges