Saved in:
| Main Authors: | Paris, Tamara, Rismani, Shalaleh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.10732 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards A Framework for Levels of Anthropomorphic Deception in Robots and AI
by: Babel, Franziska, et al.
Published: (2026)
by: Babel, Franziska, et al.
Published: (2026)
From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems
by: Rismani, Shalaleh, et al.
Published: (2024)
by: Rismani, Shalaleh, et al.
Published: (2024)
Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms
by: Rismani, Shalaleh, et al.
Published: (2025)
by: Rismani, Shalaleh, et al.
Published: (2025)
Open Problems in Machine Unlearning for AI Safety
by: Barez, Fazl, et al.
Published: (2025)
by: Barez, Fazl, et al.
Published: (2025)
Reimagining Assessment in the Age of Generative AI: Lessons from Open-Book Exams with ChatGPT
by: Mahmoud, Qusay H.
Published: (2026)
by: Mahmoud, Qusay H.
Published: (2026)
From Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants
by: Rismani, Shalaleh, et al.
Published: (2026)
by: Rismani, Shalaleh, et al.
Published: (2026)
Lessons Learned from Designing an Open-Source Automated Feedback System for STEM Education
by: Steinert, Steffen, et al.
Published: (2024)
by: Steinert, Steffen, et al.
Published: (2024)
Innovation in Education: Developing and Assessing Gamification in the University of the Philippines Open University Massive Open Online Courses
by: Moldez, Cecille, et al.
Published: (2024)
by: Moldez, Cecille, et al.
Published: (2024)
(When) Should We Delegate AI Governance to AIs? Some Lessons from Administrative Law
by: Caputo, Nicholas
Published: (2025)
by: Caputo, Nicholas
Published: (2025)
Assessing the Case for Africa-Centric AI Safety Evaluations
by: Ireri, Gathoni, et al.
Published: (2026)
by: Ireri, Gathoni, et al.
Published: (2026)
Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents
by: Hadan, Hilda, et al.
Published: (2025)
by: Hadan, Hilda, et al.
Published: (2025)
Open Problems in Technical AI Governance
by: Reuel, Anka, et al.
Published: (2024)
by: Reuel, Anka, et al.
Published: (2024)
Sora OpenAI's Prelude: Social Media Perspectives on Sora OpenAI and the Future of AI Video Generation
by: Mogavi, Reza Hadi, et al.
Published: (2024)
by: Mogavi, Reza Hadi, et al.
Published: (2024)
When AI Fails, What Works? A Data-Driven Taxonomy of Real-World AI Risk Mitigation Strategies
by: Popchanovska, Evgenija, et al.
Published: (2026)
by: Popchanovska, Evgenija, et al.
Published: (2026)
Evaluating the Effectiveness of OpenAI's Parental Control System
by: Ersoz, Kerem, et al.
Published: (2026)
by: Ersoz, Kerem, et al.
Published: (2026)
The Democratic Ontology Deficit: How AI Systems Fail to Represent What Democracy Requires
by: Ceresa, Robert M., et al.
Published: (2026)
by: Ceresa, Robert M., et al.
Published: (2026)
OpenAI's Approach to External Red Teaming for AI Models and Systems
by: Ahmad, Lama, et al.
Published: (2025)
by: Ahmad, Lama, et al.
Published: (2025)
Competing Visions of Ethical AI: A Case Study of OpenAI
by: Wilfley, Melissa, et al.
Published: (2026)
by: Wilfley, Melissa, et al.
Published: (2026)
Forecasting Open-Weight AI Model Growth on HuggingFace
by: Bhandari, Kushal Raj, et al.
Published: (2025)
by: Bhandari, Kushal Raj, et al.
Published: (2025)
International AI Safety Report 2026
by: Bengio, Yoshua, et al.
Published: (2026)
by: Bengio, Yoshua, et al.
Published: (2026)
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI
by: Batlle-Roca, Roser, et al.
Published: (2025)
by: Batlle-Roca, Roser, et al.
Published: (2025)
Open Shouldn't Mean Exempt: Open-Source Exceptionalism and Generative AI
by: Atkinson, David
Published: (2025)
by: Atkinson, David
Published: (2025)
When AI Agents Learn from Each Other: Insights from Emergent AI Agent Communities on OpenClaw for Human-AI Partnership in Education
by: Chen, Eason, et al.
Published: (2026)
by: Chen, Eason, et al.
Published: (2026)
Open Educational Resources: Barriers and Open Issues
by: Valle, Pedro Henrique Dias, et al.
Published: (2026)
by: Valle, Pedro Henrique Dias, et al.
Published: (2026)
Lessons from complexity theory for AI governance
by: Kolt, Noam, et al.
Published: (2025)
by: Kolt, Noam, et al.
Published: (2025)
From Educational Analytics to AI Governance: Transferable Lessons from Complex Systems Interventions
by: Paz, Hugo Roger
Published: (2025)
by: Paz, Hugo Roger
Published: (2025)
Lessons from External Review of DeepMind's Scheming Inability Safety Case
by: Barrett, Stephen, et al.
Published: (2026)
by: Barrett, Stephen, et al.
Published: (2026)
Americans' Support for AI Development -- Measured Daily with Open Data and Methods
by: Jones, Jason Jeffrey
Published: (2024)
by: Jones, Jason Jeffrey
Published: (2024)
Defense Priorities in the Open-Source AI Debate: A Preliminary Assessment
by: Dahlgren, Masao
Published: (2024)
by: Dahlgren, Masao
Published: (2024)
Auto-Evaluation: A Critical Measure in Driving Improvements in Quality and Safety of AI-Generated Lesson Resources
by: Clark, Hannah-Beth, et al.
Published: (2025)
by: Clark, Hannah-Beth, et al.
Published: (2025)
Opening the Scope of Openness in AI
by: Paris, Tamara, et al.
Published: (2025)
by: Paris, Tamara, et al.
Published: (2025)
AI Safety is Stuck in Technical Terms -- A System Safety Response to the International AI Safety Report
by: Dobbe, Roel
Published: (2025)
by: Dobbe, Roel
Published: (2025)
Modeling the Economic Impacts of AI Openness Regulation
by: Qiu, Tori, et al.
Published: (2025)
by: Qiu, Tori, et al.
Published: (2025)
International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications
by: Bengio, Yoshua, et al.
Published: (2025)
by: Bengio, Yoshua, et al.
Published: (2025)
International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management
by: Bengio, Yoshua, et al.
Published: (2025)
by: Bengio, Yoshua, et al.
Published: (2025)
Safety Cases: How to Justify the Safety of Advanced AI Systems
by: Clymer, Joshua, et al.
Published: (2024)
by: Clymer, Joshua, et al.
Published: (2024)
The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models
by: Dombrowski, Ann-Kathrin, et al.
Published: (2025)
by: Dombrowski, Ann-Kathrin, et al.
Published: (2025)
PRISM: A Design Framework for Open-Source Foundation Model Safety
by: Neumann, Terrence, et al.
Published: (2024)
by: Neumann, Terrence, et al.
Published: (2024)
Open Problems in DAOs
by: Tan, Joshua, et al.
Published: (2023)
by: Tan, Joshua, et al.
Published: (2023)
The Commodification of AI Sovereignty: Lessons from the Fight for Sovereign Oil
by: Yew, Rui-Jie, et al.
Published: (2026)
by: Yew, Rui-Jie, et al.
Published: (2026)
Similar Items
-
Towards A Framework for Levels of Anthropomorphic Deception in Robots and AI
by: Babel, Franziska, et al.
Published: (2026) -
From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems
by: Rismani, Shalaleh, et al.
Published: (2024) -
Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms
by: Rismani, Shalaleh, et al.
Published: (2025) -
Open Problems in Machine Unlearning for AI Safety
by: Barez, Fazl, et al.
Published: (2025) -
Reimagining Assessment in the Age of Generative AI: Lessons from Open-Book Exams with ChatGPT
by: Mahmoud, Qusay H.
Published: (2026)