09-25, 09:00–09:45 (Europe/Paris), Gaston Berger
With increased ease of smaller "AI" models, better chips and on-device learning, is it possible now to build and train your own models for your own use? In this keynote, we'll explore learnings of small, medium and large-sized model personalization, but driven by yourself and for yourself. A walk through what's possible, what's not and what we should prioritize if we'd like AI & ML to be made for everyone.
Katharine Jarmul is a privacy activist and author of Practical Data Privacy (O'Reilly 2023). She has worked in privacy, security & ethics in machine learning & data for more than 10 years and rants about building things differently at probablyprivate.com.