WAICO is positioned as the first standing organization to anchor a sovereignty-and-development pole in global AI governance, distinct from rights-and-safety focused bodies, based on a coding of fifteen instruments showing no other multilateral body combines its three key features.
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The global landscape of AI ethics guidelines
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Empirical audit of LAION-2B-en and LAION-2B-multi finds overrepresentation of young adults, White people, and males plus stereotypical emotion associations across two attribute classifiers.
Introduces a gradient-based multilingual audit framework for LLM moral decisions in robot assistance scenarios and reports persistent culturally asymmetric gradient tracking failures not fixed by prompting.
This paper reconstructs Toegye Yi Hwang's philosophy into a five-stage EEFS architecture with design principles, scenario classifications, and an evaluation instrument for ethical emotion regulation in agentic AI.
Ontological Knowledge Blocks formalize regulatory obligations as 5-tuples linking RDF/OWL schemas, SHACL rules, evidence requirements and provenance, with a compiler enabling profile-based validation demonstrated in an HPC allocation scenario.
Introduces the Institutional Alignment Readiness (IAR) framework with five dimensions to evaluate institutional deployment readiness for AI in public systems, motivated by two anonymized education-sector cases.
The EU AI Act narrows accountability for multi-agent AI in critical infrastructure by excluding safety components from key explanation and impact assessment rights, and the paper proposes AgentGov-SC, a three-layer architecture with 25 measures to address this through traceability to existing AI and
Insider action research in an AI startup identifies three patterns of how practitioners view regulatory requirements and proposes internal expert collaboration as a way to turn external governance rules into shared, practical ownership.
Generative AI boosts attackers' ability to create harmful content at scale while also enabling defenders to detect threats, support users, and improve moderation processes.
A work-in-progress curriculum mapping framework for AI education that connects technical systems, societal impacts, and workforce competencies, with early analysis of six courses showing strong technical coverage but weak workforce assessment.
A validated survey instrument grounded in real GenAI incidents reveals public perceptions of failure modes, risks, and stakeholder responsibilities, showing potential for guiding AI literacy efforts.
An interdisciplinary workshop produced a catalog of ideas and a roadmap showing how meta-research can tackle challenges like reproducibility, transparency, and ethical implementation in trustworthy AI for healthcare.
A structured review of JSP 936 identifies eight challenge areas in operationalising AI assurance for UK Defence and concludes that further methods, guidance, and organisational capability are required.
citing papers explorer
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World Artificial Intelligence Cooperation Organization (WAICO): Mapping an Emerging Institution in the Global AI Governance Regime Complex
WAICO is positioned as the first standing organization to anchor a sovereignty-and-development pole in global AI governance, distinct from rights-and-safety focused bodies, based on a coding of fifteen instruments showing no other multilateral body combines its three key features.
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Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets
Empirical audit of LAION-2B-en and LAION-2B-multi finds overrepresentation of young adults, White people, and males plus stereotypical emotion associations across two attribute classifiers.
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Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients
Introduces a gradient-based multilingual audit framework for LLM moral decisions in robot assistance scenarios and reports persistent culturally asymmetric gradient tracking failures not fixed by prompting.
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Designing Ethical Learning for Agentic AI: Toegye Yi Hwang's Ethical Emotion Regulation Framework
This paper reconstructs Toegye Yi Hwang's philosophy into a five-stage EEFS architecture with design principles, scenario classifications, and an evaluation instrument for ethical emotion regulation in agentic AI.
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Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems
Ontological Knowledge Blocks formalize regulatory obligations as 5-tuples linking RDF/OWL schemas, SHACL rules, evidence requirements and provenance, with a compiler enabling profile-based validation demonstrated in an HPC allocation scenario.
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Beyond Model Readiness: Institutional Readiness for AI Deployment in Public Systems
Introduces the Institutional Alignment Readiness (IAR) framework with five dimensions to evaluate institutional deployment readiness for AI in public systems, motivated by two anonymized education-sector cases.
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Governing What the EU AI Act Excludes: Accountability for Autonomous AI Agents in Smart City Critical Infrastructure
The EU AI Act narrows accountability for multi-agent AI in critical infrastructure by excluding safety components from key explanation and impact assessment rights, and the paper proposes AgentGov-SC, a three-layer architecture with 25 measures to address this through traceability to existing AI and
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Engaged AI Governance: Addressing the Last Mile Challenge Through Internal Expert Collaboration
Insider action research in an AI startup identifies three patterns of how practitioners view regulatory requirements and proposes internal expert collaboration as a way to turn external governance rules into shared, practical ownership.
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How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape
Generative AI boosts attackers' ability to create harmful content at scale while also enabling defenders to detect threats, support users, and improve moderation processes.
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Bridging Technical AI, Societal Impacts, and Workforce Competencies in AI Education
A work-in-progress curriculum mapping framework for AI education that connects technical systems, societal impacts, and workforce competencies, with early analysis of six courses showing strong technical coverage but weak workforce assessment.
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What People See (and Miss) About Generative AI Risks: Perceptions of Failures, Risks, and Who Should Address Them
A validated survey instrument grounded in real GenAI incidents reveals public perceptions of failure modes, risks, and stakeholder responsibilities, showing potential for guiding AI literacy efforts.
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Advancing Trustworthy AI in Healthcare Through Meta-Research: Results of an Interdisciplinary Design-Thinking Workshop
An interdisciplinary workshop produced a catalog of ideas and a roadmap showing how meta-research can tackle challenges like reproducibility, transparency, and ethical implementation in trustworthy AI for healthcare.
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AI Assurance in UK Defence: Challenges in Operationalising JSP 936
A structured review of JSP 936 identifies eight challenge areas in operationalising AI assurance for UK Defence and concludes that further methods, guidance, and organisational capability are required.