Anka Reuel

Orcid: 0000-0002-7913-9296

Affiliations:
  • Stanford University, CA, USA


According to our database1, Anka Reuel authored at least 40 papers between 2022 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Welfare, Improvability, and Variance: A Principal-Agent Approach to Optimal Benchmark Item Aggregation.
CoRR, May, 2026

AI Cartography: Mapping the Latent Landscape of AI Benchmark Ecosystems.
CoRR, May, 2026

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation.
CoRR, February, 2026

Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies.
CoRR, January, 2026

Legal Alignment for Safe and Ethical AI.
Trans. Mach. Learn. Res., 2026

2025
Video Deepfake Abuse: How Company Choices Predictably Shape Misuse Patterns.
CoRR, December, 2025

Fantastic Bugs and Where to Find Them in AI Benchmarks.
CoRR, November, 2025

Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations.
CoRR, November, 2025

Risk Management for Mitigating Benchmark Failure Modes: BenchRisk.
CoRR, October, 2025

An Adaptive Responsible AI Governance Framework for Decentralized Organizations.
CoRR, October, 2025

Measuring and mitigating overreliance is necessary for building human-compatible AI.
CoRR, September, 2025

The California Report on Frontier AI Policy.
CoRR, June, 2025

Recommendations and Reporting Checklist for Rigorous & Transparent Human Baselines in Model Evaluations.
CoRR, June, 2025

Measurement to Meaning: A Validity-Centered Framework for AI Evaluation.
CoRR, May, 2025

Audit Cards: Contextualizing AI Evaluations.
CoRR, April, 2025

In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?
CoRR, April, 2025

Artificial Intelligence Index Report 2025.
CoRR, April, 2025

How to design an AI ethics board.
AI Ethics, April, 2025

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR, February, 2025

Multi-Agent Risks from Advanced AI.
CoRR, February, 2025

Open Problems in Technical AI Governance.
Trans. Mach. Learn. Res., 2025

Risk Management for Mitigating Benchmark Failure Modes: BenchRisk.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

More than Marketing? On the Information Value of AI Benchmarks for Practitioners.
Proceedings of the 30th International Conference on Intelligent User Interfaces, 2025

Position: Human Baselines in Model Evaluations Need Rigor and Transparency (With Recommendations & Reporting Checklist).
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Responsible AI in the Global Context: Maturity Model and Survey.
Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

The Reality of AI and Biorisk.
Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?
Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024
Open Problems in Technical AI Governance.
CoRR, 2024

Position Paper: Technical Research and Talent is Needed for Effective AI Governance.
CoRR, 2024

Generative AI Needs Adaptive Governance.
CoRR, 2024

Artificial Intelligence Index Report 2024.
CoRR, 2024

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Position: Technical Research and Talent is Needed for Effective AI Governance.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Escalation Risks from Language Models in Military and Diplomatic Decision-Making.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Analyzing And Editing Inner Mechanisms of Backdoored Language Models.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Fairness in Reinforcement Learning: A Survey.
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023
International Governance of Civilian AI: A Jurisdictional Certification Approach.
CoRR, 2023

Understanding the Impact of Reinforcement Learning Personalization on Subgroups of Students in Math Tutoring.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022
Measuring the Language of Self-Disclosure across Corpora.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Using Adaptive Stress Testing to Identify Paths to Ethical Dilemmas in Autonomous Systems.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022


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