(When) Should We Delegate AI Governance to AIs? Some Lessons from Administrative Law
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Caputo, Nicholas |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Administrative Law's Fourth Settlement: AI and the Capability-Accountability Trap
par: Caputo, Nicholas
Publié: (2026)
par: Caputo, Nicholas
Publié: (2026)
Governing AI Beyond the Pretraining Frontier
par: Caputo, Nicholas A.
Publié: (2025)
par: Caputo, Nicholas A.
Publié: (2025)
When Should a Principal Delegate to an Agent in Selection Processes?
par: Fish, Benjamin, et autres
Publié: (2025)
par: Fish, Benjamin, et autres
Publié: (2025)
When Should Algorithms Resign? A Proposal for AI Governance
par: Bhatt, Umang, et autres
Publié: (2024)
par: Bhatt, Umang, et autres
Publié: (2024)
When Should We Orchestrate Multiple Agents?
par: Bhatt, Umang, et autres
Publié: (2025)
par: Bhatt, Umang, et autres
Publié: (2025)
Rules, Cases, and Reasoning: Positivist Legal Theory as a Framework for Pluralistic AI Alignment
par: Caputo, Nicholas A.
Publié: (2024)
par: Caputo, Nicholas A.
Publié: (2024)
When Should AI Read the Room? Public Perceptions of Social Intelligence in AI Agents
par: Mathur, Leena, et autres
Publié: (2026)
par: Mathur, Leena, et autres
Publié: (2026)
Keep the Future Human: Why and How We Should Close the Gates to AGI and Superintelligence, and What We Should Build Instead
par: Aguirre, Anthony
Publié: (2023)
par: Aguirre, Anthony
Publié: (2023)
Alignment as Jurisprudence
par: Caputo, Nicholas
Publié: (2026)
par: Caputo, Nicholas
Publié: (2026)
When Openness Fails: Lessons from System Safety for Assessing Openness in AI
par: Paris, Tamara, et autres
Publié: (2025)
par: Paris, Tamara, et autres
Publié: (2025)
From Educational Analytics to AI Governance: Transferable Lessons from Complex Systems Interventions
par: Paz, Hugo Roger
Publié: (2025)
par: Paz, Hugo Roger
Publié: (2025)
Habermolt: Delegating Deliberation to AI Representatives
par: Low, Joseph, et autres
Publié: (2026)
par: Low, Joseph, et autres
Publié: (2026)
Can We Trust AI to Govern AI? Benchmarking LLM Performance on Privacy and AI Governance Exams
par: Witherspoon, Zane, et autres
Publié: (2025)
par: Witherspoon, Zane, et autres
Publié: (2025)
Bringing AI Participation Down to Scale: A Comment on Open AIs Democratic Inputs to AI Project
par: Moats, David, et autres
Publié: (2024)
par: Moats, David, et autres
Publié: (2024)
The AI Double Standard: Humans Judge All AIs for the Actions of One
par: Manoli, Aikaterina, et autres
Publié: (2024)
par: Manoli, Aikaterina, et autres
Publié: (2024)
Delegation and Verification Under AI
par: Huang, Lingxiao, et autres
Publié: (2026)
par: Huang, Lingxiao, et autres
Publié: (2026)
Prompts for Public-Sector LLMs Should Be Governed as Commons
par: Mushkani, Rashid
Publié: (2026)
par: Mushkani, Rashid
Publié: (2026)
Challenges and Best Practices in Corporate AI Governance:Lessons from the Biopharmaceutical Industry
par: Mökander, Jakob, et autres
Publié: (2024)
par: Mökander, Jakob, et autres
Publié: (2024)
IGGA: A Dataset of Industrial Guidelines and Policy Statements for Generative AIs
par: Jiao, Junfeng, et autres
Publié: (2025)
par: Jiao, Junfeng, et autres
Publié: (2025)
Path Dependence under Adaptive AI Delegation
par: Huang, Lingxiao, et autres
Publié: (2026)
par: Huang, Lingxiao, et autres
Publié: (2026)
We Should Separate Memorization from Copyright
par: Haviv, Adi, et autres
Publié: (2026)
par: Haviv, Adi, et autres
Publié: (2026)
How to Count AIs: Individuation and Liability for AI Agents
par: Arbel, Yonathan, et autres
Publié: (2026)
par: Arbel, Yonathan, et autres
Publié: (2026)
The Stories We Govern By: AI, Risk, and the Power of Imaginaries
par: Oldenburg, Ninell, et autres
Publié: (2025)
par: Oldenburg, Ninell, et autres
Publié: (2025)
A mathematical theory of evolution for self-designing AIs
par: Harris, Kenneth D
Publié: (2026)
par: Harris, Kenneth D
Publié: (2026)
Constitutional Law and AI Governance: Constraints on Model Licensing and Research Classification
par: Mark, Alex, et autres
Publié: (2025)
par: Mark, Alex, et autres
Publié: (2025)
Designing Algorithmic Delegates: The Role of Indistinguishability in Human-AI Handoff
par: Greenwood, Sophie, et autres
Publié: (2025)
par: Greenwood, Sophie, et autres
Publié: (2025)
Lessons from complexity theory for AI governance
par: Kolt, Noam, et autres
Publié: (2025)
par: Kolt, Noam, et autres
Publié: (2025)
How Should the Law Treat Future AI Systems? Fictional Legal Personhood versus Legal Identity
par: Alexander, Heather J., et autres
Publié: (2025)
par: Alexander, Heather J., et autres
Publié: (2025)
AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
par: Zhang, Zhiyang, et autres
Publié: (2024)
par: Zhang, Zhiyang, et autres
Publié: (2024)
Should We Attend More or Less? Modulating Attention for Fairness
par: Zayed, Abdelrahman, et autres
Publié: (2023)
par: Zayed, Abdelrahman, et autres
Publié: (2023)
Metacognition Should Be the Scientific Framework for Bounded and Effective Self-Governance in Generative AI
par: Ji, Eugene Yu, et autres
Publié: (2026)
par: Ji, Eugene Yu, et autres
Publié: (2026)
Who Should Run Advanced AI Evaluations -- AISIs?
par: Stein, Merlin, et autres
Publié: (2024)
par: Stein, Merlin, et autres
Publié: (2024)
How Should AI Safety Benchmarks Benchmark Safety?
par: Yu, Cheng, et autres
Publié: (2026)
par: Yu, Cheng, et autres
Publié: (2026)
Why AI Is WEIRD and Should Not Be This Way: Towards AI For Everyone, With Everyone, By Everyone
par: Mihalcea, Rada, et autres
Publié: (2024)
par: Mihalcea, Rada, et autres
Publié: (2024)
Runtime Monitoring and Enforcement of Conditional Fairness in Generative AIs
par: Cheng, Chih-Hong, et autres
Publié: (2024)
par: Cheng, Chih-Hong, et autres
Publié: (2024)
If It's Nice, Do It Twice: We Should Try Iterative Corpus Curation
par: Young, Robin
Publié: (2025)
par: Young, Robin
Publié: (2025)
In Oxford Handbook on AI Governance: The Role of Workers in AI Ethics and Governance
par: Luka, Natalia, et autres
Publié: (2021)
par: Luka, Natalia, et autres
Publié: (2021)
Managing Administrative Law Cases using an Adaptable Model-driven Norm-enforcing Tool
par: Steketee, Marten C., et autres
Publié: (2025)
par: Steketee, Marten C., et autres
Publié: (2025)
The Commodification of AI Sovereignty: Lessons from the Fight for Sovereign Oil
par: Yew, Rui-Jie, et autres
Publié: (2026)
par: Yew, Rui-Jie, et autres
Publié: (2026)
Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs
par: Mazeika, Mantas, et autres
Publié: (2025)
par: Mazeika, Mantas, et autres
Publié: (2025)
Documents similaires
-
Administrative Law's Fourth Settlement: AI and the Capability-Accountability Trap
par: Caputo, Nicholas
Publié: (2026) -
Governing AI Beyond the Pretraining Frontier
par: Caputo, Nicholas A.
Publié: (2025) -
When Should a Principal Delegate to an Agent in Selection Processes?
par: Fish, Benjamin, et autres
Publié: (2025) -
When Should Algorithms Resign? A Proposal for AI Governance
par: Bhatt, Umang, et autres
Publié: (2024) -
When Should We Orchestrate Multiple Agents?
par: Bhatt, Umang, et autres
Publié: (2025)