Saved in:
| Main Authors: | Stein, Merlin, Gandhi, Milan, Kriecherbauer, Theresa, Oueslati, Amin, Trager, Robert |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.20847 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Regulating AI Agents
by: Gardhouse, Kathrin, et al.
Published: (2026)
by: Gardhouse, Kathrin, et al.
Published: (2026)
Societal Capacity Assessment Framework: Measuring Resilience to Inform Advanced AI Risk Management
by: Gandhi, Milan, et al.
Published: (2025)
by: Gandhi, Milan, et al.
Published: (2025)
Relational Archetypes: A Comparative Analysis of AV-Human and Agent-Human Interactions
by: Lorente, Antoni, et al.
Published: (2026)
by: Lorente, Antoni, et al.
Published: (2026)
Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services
by: Hartmann, David, et al.
Published: (2024)
by: Hartmann, David, et al.
Published: (2024)
Monitoring Human Dependence On AI Systems With Reliance Drills
by: Hunter, Rosco, et al.
Published: (2024)
by: Hunter, Rosco, et al.
Published: (2024)
The Role of Governments in Increasing Interconnected Post-Deployment Monitoring of AI
by: Stein, Merlin, et al.
Published: (2024)
by: Stein, Merlin, et al.
Published: (2024)
Which Information should the UK and US AISI share with an International Network of AISIs? Opportunities, Risks, and a Tentative Proposal
by: Thurnherr, Lara
Published: (2025)
by: Thurnherr, Lara
Published: (2025)
Position: Ensuring mutual privacy is necessary for effective external evaluation of proprietary AI systems
by: Bucknall, Ben, et al.
Published: (2025)
by: Bucknall, Ben, et al.
Published: (2025)
How are AI agents used? Evidence from 177,000 MCP tools
by: Stein, Merlin
Published: (2026)
by: Stein, Merlin
Published: (2026)
Governing Through the Cloud: The Intermediary Role of Compute Providers in AI Regulation
by: Heim, Lennart, et al.
Published: (2024)
by: Heim, Lennart, et al.
Published: (2024)
Who Would Chatbots Vote For? Political Preferences of ChatGPT and Gemini in the 2024 European Union Elections
by: Haman, Michael, et al.
Published: (2024)
by: Haman, Michael, et al.
Published: (2024)
Impact Matters! An Audit Method to Evaluate AI Projects and their Impact for Sustainability and Public Interest
by: Züger, Theresa, et al.
Published: (2026)
by: Züger, Theresa, et al.
Published: (2026)
Position: AI Evaluations Should be Grounded on a Theory of Capability
by: Jo, Nathanael, et al.
Published: (2025)
by: Jo, Nathanael, et al.
Published: (2025)
Theory Trace Card: Theory-Driven Socio-Cognitive Evaluation of LLMs
by: Karimi-Malekabadi, Farzan, et al.
Published: (2026)
by: Karimi-Malekabadi, Farzan, et al.
Published: (2026)
AI Evaluation Should Require Standardized Item-Level Data Releases
by: Jiang, Han, et al.
Published: (2026)
by: Jiang, Han, et al.
Published: (2026)
How Should AI Safety Benchmarks Benchmark Safety?
by: Yu, Cheng, et al.
Published: (2026)
by: Yu, Cheng, et al.
Published: (2026)
Should I use Synthetic Data for That? An Analysis of the Suitability of Synthetic Data for Data Sharing and Augmentation
by: Kulynych, Bogdan, et al.
Published: (2026)
by: Kulynych, Bogdan, et al.
Published: (2026)
AI Companies Should Report Pre- and Post-Mitigation Safety Evaluations
by: Bowen, Dillon, et al.
Published: (2025)
by: Bowen, Dillon, et al.
Published: (2025)
Who is using AI to code? Global diffusion and impact of generative AI
by: Daniotti, Simone, et al.
Published: (2025)
by: Daniotti, Simone, et al.
Published: (2025)
Why AI Is WEIRD and Should Not Be This Way: Towards AI For Everyone, With Everyone, By Everyone
by: Mihalcea, Rada, et al.
Published: (2024)
by: Mihalcea, Rada, et al.
Published: (2024)
When Algorithms Meet Artists: Semantic Compression of Artists' Concerns in the Public AI-Art Debate
by: Mukherjee-Gandhi, Ariya, et al.
Published: (2025)
by: Mukherjee-Gandhi, Ariya, et al.
Published: (2025)
Who's Asking? Simulating Role-Based Questions for Conversational AI Evaluation
by: Kaur, Navreet, et al.
Published: (2025)
by: Kaur, Navreet, et al.
Published: (2025)
When Should AI Read the Room? Public Perceptions of Social Intelligence in AI Agents
by: Mathur, Leena, et al.
Published: (2026)
by: Mathur, Leena, et al.
Published: (2026)
Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations
by: Reuel, Anka, et al.
Published: (2025)
by: Reuel, Anka, et al.
Published: (2025)
Comprehensive AI governance requires addressing non-model gains
by: Goemans, Arthur, et al.
Published: (2026)
by: Goemans, Arthur, et al.
Published: (2026)
Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking
by: Nemecek, Alexander, et al.
Published: (2026)
by: Nemecek, Alexander, et al.
Published: (2026)
AI Safety Frameworks Should Include Procedures for Model Access Decisions
by: Kembery, Edward, et al.
Published: (2024)
by: Kembery, Edward, et al.
Published: (2024)
Who Decides in AI-Mediated Learning? The Agency Allocation Framework
by: Borchers, Conrad, et al.
Published: (2026)
by: Borchers, Conrad, et al.
Published: (2026)
When Should Algorithms Resign? A Proposal for AI Governance
by: Bhatt, Umang, et al.
Published: (2024)
by: Bhatt, Umang, et al.
Published: (2024)
AI Agents Should be Regulated Based on the Extent of Their Autonomous Operations
by: Osogami, Takayuki
Published: (2025)
by: Osogami, Takayuki
Published: (2025)
Agentic AI Systems Should Be Designed as Marginal Token Allocators
by: Zhu, Siqi
Published: (2026)
by: Zhu, Siqi
Published: (2026)
AI Safety Should Prioritize the Future of Work
by: Hazra, Sanchaita, et al.
Published: (2025)
by: Hazra, Sanchaita, et al.
Published: (2025)
Towards New Benchmark for AI Alignment & Sentiment Analysis in Socially Important Issues: A Comparative Study of Human and LLMs in the Context of AGI
by: Bojic, Ljubisa, et al.
Published: (2025)
by: Bojic, Ljubisa, et al.
Published: (2025)
Should AI Become an Intergenerational Civil Right?
by: Crowcroft, Jon, et al.
Published: (2025)
by: Crowcroft, Jon, et al.
Published: (2025)
What Should Frontier AI Developers Disclose About Internal Deployments?
by: Charnock, Jacob, et al.
Published: (2026)
by: Charnock, Jacob, et al.
Published: (2026)
Research Superalignment Should Advance Now with Alternating Competence and Conformity Optimization
by: Kim, HyunJin, et al.
Published: (2025)
by: Kim, HyunJin, et al.
Published: (2025)
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
by: Ehsan, Upol, et al.
Published: (2021)
by: Ehsan, Upol, et al.
Published: (2021)
(When) Should We Delegate AI Governance to AIs? Some Lessons from Administrative Law
by: Caputo, Nicholas
Published: (2025)
by: Caputo, Nicholas
Published: (2025)
Propensity towards Ownership and Use of Automated Vehicles: Who Are the Adopters? Who Are the Non-adopters? Who Is Hesitant?
by: Le, Tho, et al.
Published: (2024)
by: Le, Tho, et al.
Published: (2024)
Who Controls the Conversation? User Perspectives On Generative AI (LLM) System Prompts
by: Neumann, Anna, et al.
Published: (2026)
by: Neumann, Anna, et al.
Published: (2026)
Similar Items
-
Regulating AI Agents
by: Gardhouse, Kathrin, et al.
Published: (2026) -
Societal Capacity Assessment Framework: Measuring Resilience to Inform Advanced AI Risk Management
by: Gandhi, Milan, et al.
Published: (2025) -
Relational Archetypes: A Comparative Analysis of AV-Human and Agent-Human Interactions
by: Lorente, Antoni, et al.
Published: (2026) -
Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services
by: Hartmann, David, et al.
Published: (2024) -
Monitoring Human Dependence On AI Systems With Reliance Drills
by: Hunter, Rosco, et al.
Published: (2024)