- Published works on memorization and attacks
- Gave a bunch of talks at workshops, universities, CS, law schools, guest lectures (CMU, Princeton, Berkeley, Yale, FPF, Stanford) about work at the intersection of generative AI and law
Thanks for having us!
We’ve been receiving a bunch of questions about a CFP for GenLaw 2025.
We wanted to let you know that we chose not to submit a workshop proposal this year (we need a break!!). We’ll be at ICML though and look forward to catching up there!
You can watch our prior videos!
- Wrote "The Files are in the Computer: On Copyright, Memorization, and Generative AI" for Chicago-Kent https://t.co/tCyvdUDlH9
- Wrote: "Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice" https://t.co/H9lHPQePUz
Machine unlearning is taking off! There is a ton of interest in getting generative AI models to “unlearn” targeted undesirable information, often to meet policy aims in privacy, copyright, safety, etc.
Our new cross-disciplinary collaboration shows why this isn’t simple.
My spotlight paper from last month's Generative AI + Law paper is now up online. I'm still working on it, and would welcome any thoughts or feedback anyone has.
Paper: https://t.co/6JXYoEwJwz
Short thread explaining it: https://t.co/H3st23gbj3
And it's poster time! If you're following along at home, check out the accepted papers here: https://t.co/w0YtftLssu. We'll have an "online poster session" some time in the future, stay tuned!!
And a spotlight I missed, "Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI". Congrats to all of our spotlight talks, and thank you everyone for submitting!