Workshop
Regulatable ML: Towards Bridging the Gaps between Machine Learning Research and Regulations
Jiaqi Ma · Chirag Agarwal · Sarah Tan · Himabindu Lakkaraju · Usha Bhalla · Zana Bucinca · Junwei Deng · Alex Oesterling · Shichang (Ray) Zhang
East Meeting Room 13
Sun 15 Dec, 8:15 a.m. PST
This workshop brings together ML and policy experts to identify and address various technical, policy, and fair use challenges that arise when regulating ML models.
Chat is not available.
Timezone: America/Los_Angeles
Schedule
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Sun 8:15 a.m. - 8:30 a.m.
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Opening Remarks
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Intro
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SlidesLive Video |
Jiaqi Ma 🔗 |
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Sun 8:30 a.m. - 9:00 a.m.
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Invited Talk: Rumman Chowdhury (Remote)
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Invited Talk
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SlidesLive Video |
Rumman Chowdhury 🔗 |
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Sun 9:00 a.m. - 9:30 a.m.
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Contributed Talks 1
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Contributed Talks
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SlidesLive Video |
Prakhar Ganesh · Akira Takahashi · Bill Marino · Tong Chen 🔗 |
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Sun 9:30 a.m. - 10:00 a.m.
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Coffee Break
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Sun 10:00 a.m. - 11:30 a.m.
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Poster Session
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Poster Session
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Sun 11:30 a.m. - 12:00 p.m.
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Yoshua Bengio: Why and how to regulate Frontier AI?
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Invited Talk
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SlidesLive Video |
Yoshua Bengio 🔗 |
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Sun 12:00 p.m. - 1:15 p.m.
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Lunch
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Sun 1:15 p.m. - 1:45 p.m.
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Peter Henderson: The Challenges of Pre-Deployment Regulability for General-purpose AI Systems
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Invited Talk
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SlidesLive Video |
Peter Henderson 🔗 |
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Sun 1:45 p.m. - 2:15 p.m.
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Contributed Talks 2
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Contributed Talks
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SlidesLive Video |
Ayoub Ajarra · Sahil Verma · Amol Khanna · Nari Johnson · Savannah Thais 🔗 |
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Sun 2:15 p.m. - 3:00 p.m.
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Interactive Discussion on A Path for Science‑ and Evidence‑based AI Policy
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Interactive Discussion
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SlidesLive Video |
Dawn Song · Rishi Bommasani 🔗 |
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Sun 3:00 p.m. - 3:30 p.m.
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Coffee Break + Speaker Office Hours (Yoshua Bengio, Dawn Song, and Rishi Bommasani, Peter Henderson)
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Sun 3:30 p.m. - 4:00 p.m.
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Reva Schwartz: Real World Matters: What Actually Happens When People Use AI? The NIST Assessing Risks and Impacts of AI (ARIA) Program
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Invited Talk
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SlidesLive Video |
Reva Schwartz 🔗 |
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Sun 4:00 p.m. - 5:00 p.m.
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Navigating the Future of AI Regulation and Governance - Global Perspectives and Challenges
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Panel
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Rob Reich · Gillian Hadfield · Surdas Mohit · Wan Sie Lee · Sella Nevo · Savannah Thais 🔗 |
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Sun 5:00 p.m. - 5:30 p.m.
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Networking + Wrap Up
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Closing
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GPAI Evaluations Standards Taskforce: towards effective AI governance ( Poster ) > link | Patricia Paskov · Lukas Berglund · Everett Smith · Lisa Soder 🔗 |
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Powering LLM Regulation through Data: Bridging the Gap from Compute Thresholds to Customer Experiences ( Poster ) > link | Wesley Pasfield 🔗 |
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Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse ( Poster ) > link | Seung Hyun Cheon · Anneke Wernerfelt · Sorelle Friedler · Berk Ustun 🔗 |
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CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation ( Poster ) > link | Tong Chen · Akari Asai · Niloofar Mireshghallah · Sewon Min · James Grimmelmann · Yejin Choi · Hannaneh Hajishirzi · Luke Zettlemoyer · Pang Wei Koh 🔗 |
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Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks ( Poster ) > link | Alba Carballo Castro · Sonia Laguna · Moritz Vandenhirtz · Julia Vogt 🔗 |
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Public Procurement for Responsible AI? Understanding U.S. Cities' Practices and Needs ( Poster ) > link | Nari Johnson · Elise Silva · Harrison Leon · Motahhare Eslami · Beth Schwanke · Ravit Dotan · Hoda Heidari 🔗 |
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Influence-based Attributions can be Manipulated ( Poster ) > link | Chhavi Yadav · Ruihan Wu · Kamalika Chaudhuri 🔗 |
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Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization ( Poster ) > link | Jean-Rémy Conti · Stephan Clémençon 🔗 |
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A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage ( Poster ) > link | Rui Xin · Niloofar Mireshghallah · Stella Li · Hyunwoo Kim · Michael Duan · Yejin Choi · Yulia Tsvetkov · Sewoong Oh · Pang Wei Koh 🔗 |
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Non-Interactive and Publicly Verifiable Zero-Knowledge Proof for Fair Decision Trees ( Poster ) > link | Elisaweta Masserova · Antigoni Polychroniadou · Akira Takahashi 🔗 |
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Regulation of Algorithmic Collusion, Refined: Testing Worst-case Calibrated Regret ( Poster ) > link | Jason Hartline · Chang Wang · Chenhao Zhang 🔗 |
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FairProof : Confidential and Certifiable Fairness for Neural Networks ( Poster ) > link | Chhavi Yadav · Amrita Roy Chowdhury · Dan Boneh · Kamalika Chaudhuri 🔗 |
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Optimal Selection Using Algorithmic Rankings with Side Information ( Poster ) > link | Kate Donahue · Nicole Immorlica · Brendan Lucier 🔗 |
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Active Fourier Auditor for Estimating Distributional Properties of ML Models ( Poster ) > link | Ayoub Ajarra · Bishwamittra Ghosh · Debabrota Basu 🔗 |
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Position: Participatory Assessment of Large Language Model Applications in an Academic Medical Center ( Poster ) > link | Giorgia Carra · Bogdan Kulynych · François Bastardot · Noémie Boillat-Blanco · Jean Raisaro 🔗 |
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Towards Safe Multilingual Frontier AI ( Poster ) > link | Arturs Kanepajs · Vladimir Ivanov · Richard Moulange 🔗 |
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Knowledge Distillation-Based Model Extraction Attack using GAN-based Private Counterfactual Explanations ( Poster ) > link | Fatima Ezzeddine · Omran Ayoub · Silvia Giordano 🔗 |
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The Data Minimization Principle in Machine Learning ( Poster ) > link | Prakhar Ganesh · Cuong Tran · Reza Shokri · Nando Fioretto 🔗 |
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Verification methods for international AI agreements ( Poster ) > link | Akash Wasil · Thomas Reed · Jack Miller · Peter Barnett 🔗 |
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AI-Generated Content and Public Persuasion: The Limited Effect of AI Authorship Labels ( Poster ) > link | Isabel Gallegos · Chen Shani · Weiyan Shi · Federico Bianchi · Robb Willer · Dan Jurafsky 🔗 |
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Foundation Models and the EU AI Act ( Poster ) > link | Rishi Bommasani · Alice Hau · Kevin Klyman · Percy Liang 🔗 |
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Responsible Artificial Intelligence (RAI) in US Federal Government : Principles, Policies, and Practices. ( Poster ) > link | Atul Rawal · Katie Johnson · Curtis Mitchell · Michael Walton · Diamond Nwankwo 🔗 |
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Generative AI regulation can learn from social media regulation ( Poster ) > link | Ruth Elisabeth Appel 🔗 |
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How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold ( Poster ) > link | Sahil Verma · Royi Rassin · Arnav Das · Gantavya Bhatt · Preethi Seshadri · Chirag Shah · Jeff A Bilmes · Hannaneh Hajishirzi · Yanai Elazar 🔗 |
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Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning ( Poster ) > link | Matthew Peroni · Dimitris Bertsimas 🔗 |
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Quantifying Variance in Evaluation Benchmarks ( Poster ) > link | Lovish Madaan · Aaditya Singh · Rylan Schaeffer · Andrew Poulton · Sanmi Koyejo · Pontus Lars Erik Saito Stenetorp · Sharan Narang · Dieuwke Hupkes 🔗 |
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Towards Data Governance of Frontier AI Models ( Poster ) > link | Jason Hausenloy · Duncan McClements · Madhavendra Thakur 🔗 |
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Fairness Implications of Machine Unlearning: Bias Risks in Removing NSFW Content from Text-to-Image Models ( Poster ) > link | Xiwen Wei · Guihong Li · Radu Marculescu 🔗 |
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Declare and Justify: Explicit assumptions in AI evaluations are necessary for effective regulation ( Poster ) > link | Peter Barnett · Lisa Thiergart 🔗 |
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Integration of Generative AI in the Digital Markets Act: Contestability and Fairness from a Cross-Disciplinary Perspective ( Poster ) > link | Ayse Yasar · Andrew Chong · Evan Dong · Thomas Gilbert · Carlos Mougan · Xudong Shen · Shubham Singh · Ana-Andreea Stoica · Savannah Thais 🔗 |
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Promoting User Data Autonomy During the Dissolution of a Monopolistic Firm ( Poster ) > link | Rushabh Solanki · Elliot Creager 🔗 |
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A Black-Box Watermarking Modulation for Semantic Segmentation Models ( Poster ) > link | Mohammed Lansari · Lucas Mattioli · Boussad ADDAD · Paul-Marie RAFFI · Martin Gonzalez · Katarzyna Kapusta 🔗 |
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Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government ( Poster ) > link | Amol Khanna · Adam Mccormick · Andre Nguyen · Christopher Aguirre · Edward Raff 🔗 |
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LLM-Generated Black-box Explanations Can Be Adversarially Helpful ( Poster ) > link | Rohan Deepak Ajwani · Shashidhar Reddy Javaji · Frank Rudzicz · Zining Zhu 🔗 |
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Weak-to-Strong Confidence Prediction ( Poster ) > link | Tracy Zhu · Yukai Yang · Marco Morucci · Tim G. J. Rudner 🔗 |
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An Autonomy-Based Classification: Liability in the Age of AI Agents ( Poster ) > link | Julia Smakman · Lisa Soder · Connor Dunlop · Weiwei Pan · Siddharth Swaroop 🔗 |
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Examining Data Compartmentalization for AI Governance ( Poster ) > link | Nicole Mitchell · Eleni Triantafillou · Peter Kairouz 🔗 |
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Fundamental Limits in the Search for Less Discriminatory Algorithms—and How to Avoid Them ( Poster ) > link | Benjamin Laufer · Manish Raghavan · Solon Barocas 🔗 |
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Homogeneous Algorithms Can Reduce Competition in Personalized Pricing ( Poster ) > link | Nathanael Jo · Kathleen Creel · Ashia Wilson · Manish Raghavan 🔗 |
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Compliance Cards: Automated EU AI Act Compliance Analyses amidst a Complex AI Supply Chain ( Poster ) > link | Bill Marino · Yaqub Chaudhary · Yulu Pi · Rui-Jie Yew · Preslav Aleksandrov · Carwyn Rahman · William Shen · Isaac Robinson · Nicholas Lane 🔗 |
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Multilingual Compliance: A Comparative Study of Privacy Policies in Chinese, Japanese, and Korean ( Poster ) > link | Muhammad Hassan · Phillip Nakamura · Yuanye Ma 🔗 |
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vTune: Verification of fine-tuning through backdooring ( Poster ) > link | Eva Zhang · Akilesh Potti · Micah Goldblum 🔗 |
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Robustness and Cybersecurity in the EU Artificial Intelligence Act ( Poster ) > link | Henrik Nolte · Miriam Rateike · Michèle Finck 🔗 |
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IDs for AI Systems ( Poster ) > link | Alan Chan · Noam Kolt · Peter Wills · Usman Anwar · Christian Schroeder de Witt · Nitarshan Rajkumar · Lewis Hammond · David Krueger · Lennart Heim · Markus Anderljung 🔗 |