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NeurIPS 2026TulaneIBMAI policy & governance

DeepVoting: Learning and Improving Voting Rules with Fine-Tuning

Leonardo Matone, Ben Abramowitz, Ben Armstrong, Avinash Balakrishnan and 1 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026PrincetonSentientSentient FoundationU WashingtonU Illinois at Urbana-ChampaignAI policy & governance

Position: Reconciling Open Access with Owner Control in AI Model Distribution Deserves More Research Effort

Zerui Cheng, Edoardo Contente, Benjamin Finch, Oleg Golev and 7 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Hanoi National EconomicsNanyang TechnologicalN2TP Technology Solutions JSCB0Labs, N2TP TechnologyN2TPAI policy & governance

Learning in Policy Transparency Games: Wedge Structure and Adaptive Certification

Nguyen T Uyen, Khanh N Quoc, Duc H Nguyen, Ngoc Mai Vu and 6 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026HarvardAI policy & governance

Strategic Causal Policy Learning: Welfare, Safety, and Fairness Thresholds

Suhwan Bong

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Sapienza University of RomeU Roma "La Sapienza"Tel AvivNorthwesternAI policy & governance

The Panel Complexity of Sortition: Is 12 Angry Men Enough?

Johannes Brustle, Simone Fioravanti, Tomasz Ponitka, Jeremy Vollen

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026HarvardConstellation Research CenterAnthropicUC BerkeleyAI policy & governance

Aligning AI Teams

Siddarth Srinivasan, Morgan J Matthews, Jascha Sohl-Dickstein, Erik Jones

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U GroningenAI policy & governance

Peer Review of Applied Machine Learning Papers Must Include Code Execution

Lisa-Marie Vortmann

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026HarvardAI policy & governance

Large language models can not and should not be banned from peer review

Anat Kleiman, Gustaf Ahdritz

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026MLCommonsValo HealthFactoredIndianaSage BionetworksAI policy & governance

Decentralized AI Governance Must Decouple Policy Processing from Capability Enforcement

Hasan Kassem, Christoforos Anagnostopoulos, Alejandro Aristizabal, Spyridon Bakas and 26 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026POSTECHYonseiPusan NationalAI policy & governance

Standardization of Post-Publication Code Verification is Possible with the Support of the Community

Susana López-Moreno, Eric R Dolores-Cuenca, Sangil Kim

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Illinois Urbana-ChampaignAI policy & governance

Epistemic Infrastructures of Science in AI Era Should Rebalance Costs of Generation and Verification

Jiaqi Ma

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026BrownAI policy & governance

Position: Machine Learning Conferences Should Introduce an Autonomous Research Track

Arjun Prakash, Amy Greenwald, Nora Ayanian

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SpotlightVirginia Polytechnic Institute aWashington University, Saint LouAI policy & governance

Budgeting Discretion: Theory and Evidence on Street-Level Decision-Making

Formalizing discretion as a dynamic budget problem yields time-dependent override thresholds and shape-dependent spending rates, with homelessness data showing budget-constrained discretionary patterns.

Gaurab Pokharel, Sanmay Das, Patrick J Fowler

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
70%Highly rated
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NeurIPS 2026StanfordAI policy & governance

Allocate Marginal Reviews to Borderline Papers Using LLM Comparative Ranking

LLM comparative ranking predicts borderline papers before human review, enabling targeted allocation of extra reviews to the acceptance boundary rather than random assignment, improving review efficiency.

Elliot Epstein, Rajat Vadiraj Dwaraknath, John Winnicki, Thanawat Sornwanee

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 5 of 20 reviewers recommend it
lenient 3/5
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72%Highly rated
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NeurIPS 2026NYUU California, San DiegoU Munich, Ludwig-Maximilians-UniNew YorkAI policy & governance

On the Meta-Design of Allocation Problems

The paper defines meta-design for resource allocation by optimizing upstream design parameters like data, capacity, and quality, and demonstrates the framework in German employment and Ethiopian cash transfer programs.

Unai Fischer Abaigar, Emily Aiken, Christoph Kern, Juan C Perdomo

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
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72%Highly rated
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NeurIPS 2026Case Western ReserveFacebookAI policy & governance

Watermarking Without Standards Is Not AI Governance

Watermarking lacks enforceable standards and audit infrastructure, so current implementations serve as symbolic compliance rather than effective AI oversight.

Alexander Nemecek, Yuzhou Jiang, Erman Ayday

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5