Responsible Machine Learning Summit 2023
Responsible Generative AI: Opportunities and Challenges
This year's summit will cover topics including: Advances in Generative AI and its Applications, Potential Abuse of the new technology, Copyright and Attribution, Co-existing with AI: The Human Alignment Problem, as well as algorithmic solutions to these problems.
Live stream: https://youtu.be/UoEHvcZ5Ck8
Talk abstracts: 2023 RML Summit
AGENDA
|
8:00 am |
Registration & Breakfast |
|
9:00 am |
Welcome and Opening Remarks Yu-Xiang Wang Associate Professor, Computer Science, University of California, Santa Barbara, CRML Co-Director William Wang Mellichamp Professor of Artificial Intelligence, University of California Santa Barbara, CRML Director |
| 9:10 am |
Giovanni Vigna Professor, Computer Science, University of California, Santa Barbara, ACTION Director |
|
9:15 am |
Distinguished Talk #1 Tatsu Hashimoto Assistant Professor, Computer Science Department, Stanford University Empowering Instruction Following Research with Language Models as Simulators (Session Chair: Shiyu Chang Assistant Professor, Computer Science, University of California, Santa Barbara) |
|
10:00 am |
Distinguished Talk #2: Scott Aaronson Schlumberger Centennial Chair of Computer Science and Director of Quantum Information Center, The University of Texas at Austin Watermarking LLMs (Session Chair: Yu-Xiang Wang) |
|
10:45 am |
Coffee Break |
|
11:00 am |
Short Talks Session #1 Yao Qin Assistant Professor, Electrical & Computer Engineering Department, University of California, Santa Barbara Effective Robustness against Natural Distribution Shifts for Models with Different Training Data Xuandong Zhao Ph.D. Student, Computer Science Department, University of California, Santa Barbara AI Attacks Against Invisible Watermarks (Session Chair: William Wang) |
|
12:00 pm |
Lunch Reception |
|
1:00 pm |
Distinguished Talk #3 Eric Wong Assistant Professor, Computer and Information Science Department, University of Pennsylvania Robustness of Adversarial Attacks for LLM (Session Chair: Yao Qin) |
|
1:50 pm |
Distinguished Talk #4 Yan Liu Professor, Computer Science Department and Director of USC Machine Learning Center, University of Southern California Deciphering Neural Networks through the Lenses of Feature Interactions (Session Chair: Xifeng Yan Professor, Computer Science, University of California, Santa Barbara) |
| 2:35 pm | Coffee Break |
| 2:50 pm |
Short Talks Session #2 Haewon Jeong Assistant Professor, Electrical & Computer Engineering Department, University of California, Santa Barbara From Dirty Data to Fair Prediction: The Role of Data Preprocessing for Equitable AI Tevfik Bultan Professor, Computer Science Department, University of California, Santa Barbara Software Engineering in the Age of AI (Session Chair: Xifeng Yan) |
| 3:30 pm |
Panel Discussion Topic: Shaping a Responsible AI-Drive Future Panelists: Tatsu Hashimoto, Eric Wong, Scott Aaronson, Yan Liu, Ivan Bercovich, and Karina Montilla Edmonds Moderated by: Giovanni Vigna |
|
4:45 pm |
Closing Remarks & Acknowledgements Shiyu Chang |
Sponsored by the Center for Responsible Machine Learning, the Mellichamp Initiative in Mind and Machine Intelligence, the AI Institute for Agent-based Cyber Threat Intelligence and Operation (ACTION), SAP, and ScOp Venture Capital.
