Mixed-methods research in Saudi Arabia reveals that GenAI use by youth creates culturally specific privacy and safety risks tied to family honor and shared accounts, requiring context-sensitive design.
& Russell, S.TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI2023
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Analysis of 499 generative AI incidents shows use-related failures predominate and frequently harm non-users, producing a distinct risk profile from traditional AI.
AI value alignment is reconceptualized as a pluralistic governance problem arising along three axes—objectives, information, and principals—making it inherently context-dependent and unsolvable by technical design alone.
A framework with seven dimensions for AI incident reporting systems is developed from literature and case studies in safety-critical industries to guide institutional design choices.
The paper surveys worldwide AI regulations, risk categories, and assessment methodologies, highlighting best practices and research gaps.
Consciousness does not directly predict AI existential risk unlike intelligence, though it may indirectly affect risk through alignment or capability requirements.
citing papers explorer
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Culturally Aware GenAI Risks for Youth: Perspectives from Youth, Parents, and Teachers in a Non-Western Context
Mixed-methods research in Saudi Arabia reveals that GenAI use by youth creates culturally specific privacy and safety risks tied to family honor and shared accounts, requiring context-sensitive design.
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A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents
Analysis of 499 generative AI incidents shows use-related failures predominate and frequently harm non-users, producing a distinct risk profile from traditional AI.
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Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem
AI value alignment is reconceptualized as a pluralistic governance problem arising along three axes—objectives, information, and principals—making it inherently context-dependent and unsolvable by technical design alone.
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Designing Incident Reporting Systems for Harms from General-Purpose AI
A framework with seven dimensions for AI incident reporting systems is developed from literature and case studies in safety-critical industries to guide institutional design choices.
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Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond
The paper surveys worldwide AI regulations, risk categories, and assessment methodologies, highlighting best practices and research gaps.
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AI Consciousness and Existential Risk
Consciousness does not directly predict AI existential risk unlike intelligence, though it may indirectly affect risk through alignment or capability requirements.