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Alignment, Trust, Watermarking, and Copyright Issues in LLMs
Program
Special Year on Large Language Models and Transformers, Part 1
Location
Calvin lab auditorium
Date
Monday, Oct. 14
–
Thursday, Oct. 17, 2024
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Workshop & Symposia
Schedule | Alignment, Trust, Watermarking, and Copyright Issues In LLMs
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The Workshop
Schedule
Videos
All talks listed in Pacific Time. Schedule subject to change.
Monday, Oct. 14, 2024
9:15
–
9:40 a.m.
Coffee and Check-In
9:40
–
9:45 a.m.
Opening Remarks
9:45
–
10:30 a.m.
Private Retrieval-Augmented Generation
Raluca Popa (UC Berkeley)
Video
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
Scalable Extraction of Training Data from (Production) Language Models
Nicholas Carlini (Google DeepMind)
Video
11:45 a.m.
–
12:30 p.m.
Differentially private synthetic data for private LLM training
Andreas Terzis (Google Deep Mind)
Video
12:30
–
1:45 p.m.
Lunch (on your own)
1:45
–
2 p.m.
A Sociotechnical Approach to A Safe, Responsible AI Future: A Path for Science‑ and Evidence‑based AI Policy
Dawn Song (UC Berkeley)
Video
2
–
2:45 p.m.
Defense against prompt injection attacks
David Wagner (UC Berkeley)
Video
2:45
–
3 p.m.
Break
3
–
3:45 p.m.
Pluralistic Alignment: A Roadmap, Recent Work, and Open Problems
Taylor Sorensen (University of Washington)
Video
3:45
–
4 p.m.
Break
4
–
5 p.m.
Panel Discussion: AI Safety Regulation
Scott Aaronson (UT Austin & OpenAI)
,
Dan Hendrycks (Center for AI Safety)
,
Ion Stoica (UC Berkeley)
,
Martin Casado (a16z)
,
Joseph Gonzalez (UC Berkeley)
Video
Tuesday, Oct. 15, 2024
9:15
–
9:45 a.m.
Coffee and Check-In
9:45
–
10:30 a.m.
Interactive Proofs, Debate, and AI Safety
Jonah Brown-Cohen (Google DeepMind)
Video
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
Prover-Verifier Games Improve Legibility of LLM outputs
Yining Chen (Open AI)
Video
11:45 a.m.
–
12:30 p.m.
Models that prove their own correctness
Orr Paradise (UC Berkeley)
Video
12:30
–
2:15 p.m.
Lunch (on your own)
2:15
–
3 p.m.
On Mitigating Backdoors
Jonathan Shafer (MIT)
Video
3
–
3:15 p.m.
Break
3:15
–
4 p.m.
Formal backdoor detection games and deceptive alignment
Jacob Hilton (Alignment Research Center)
Video
4
–
5 p.m.
Reception
Wednesday, Oct. 16, 2024
9:15
–
9:45 a.m.
Coffee and Check-In
9:45
–
10:30 a.m.
AI Interactions: Misuse, Markets, and Managers
Jacob Steinhardt (UC Berkeley)
Video
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
Beyond Preferences in AI Alignment: Towards Richer Models of Human Reasons and Decisions
Tan Zhi Xuan (MIT)
Video
11:45 a.m.
–
12:30 p.m.
Differential privacy in the clean room: Copyright protections for generative AI
Aloni Cohen (University of Chicago)
Video
12:30
–
2 p.m.
Lunch (on your own)
2
–
2:45 p.m.
Veridical Data Science and Alignment in Medical AI
Bin Yu (UC Berkeley)
Video
2:45
–
3 p.m.
Break
3
–
3:45 p.m.
What should we align with?
Frauke Kreuter (LMU Munich and University of Maryland)
Video
3:45
–
4:30 p.m.
Open Technical Questions in Generative AI Copyright
Yangsibo Huang (Google)
Video
Thursday, Oct. 17, 2024
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
9:45 a.m.
Watermarking: where to?
Scott Aaronson (UT Austin)
Video
9:45
–
10:30 a.m.
Pseudorandom Error-Correcting Codes with Applications to Watermarking Generative AI
Miranda Christ (Columbia University)
Video
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
Edit Distance Robust Watermarks: beyond substitution channels
Noah Golowich (MIT)
Video
11:45 a.m.
–
12:30 p.m.
Distortion-free mechanisms for language model provenance
Rohith Kuditipudi (Stanford University)
Video
12:30
–
2 p.m.
Lunch (on your own)
2:15
–
3 p.m.
Will Copyright Derail Generative AI Technologies?
Pam Samuelson (UC Berkeley)
Video
3
–
3:15 p.m.
Break
3:15
–
4 p.m.
From Risk to Resilience: Risk Assessment, Safety Alignment, and Guardrails for Foundation Models
Bo Li (University of Illinois at Urbana–Champaign)
Video
4
–
5 p.m.
Panel Discussion: Will AI make us stupid and what can we do about it?
Umesh Vazirani (UC Berkeley)
,
Vered Shemtov (Stanford)
,
Trevor Darrell (UC Berkeley)
,
Maroussia Lévesque (Harvard Law School)
,
Richard Zemel (Columbia University)
Video
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