Image de couverture de livre

From Linear Risk to Emergent Harm: Complexity as the Missing Core of AI Governance

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Paz, Hugo Roger
Format:	Preprint
Publié:	2025
Sujets:	Computers and Society
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

From Educational Analytics to AI Governance: Transferable Lessons from Complex Systems Interventions
par: Paz, Hugo Roger
Publié: (2025)

The AI Tutor in Engineering Education: Design, Results, and Redesign of an Experience in Hydrology at an Argentine University
par: Paz, Hugo Roger
Publié: (2025)

The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
par: Rao, Pooja S. B., et autres
Publié: (2025)

Hybrid Instructor Ai Assessment In Academic Projects: Efficiency, Equity, And Methodological Lessons
par: Paz, Hugo Roger
Publié: (2025)

Early Academic Capital as the Causal Origin of Dropout in Constrained Educational Systems -- Evidence from Longitudinal Data and Structural Causal Models
par: Paz, Hugo Roger
Publié: (2026)

Missing Value Chain in Generative AI Governance China as an example
par: Pi, Yulu
Publié: (2024)

From Incidents to Insights: Patterns of Responsibility following AI Harms
par: Richards, Isabel, et autres
Publié: (2025)

User Privacy Harms and Risks in Conversational AI: A Proposed Framework
par: Gumusel, Ece, et autres
Publié: (2024)

Global Perspectives of AI Risks and Harms: Analyzing the Negative Impacts of AI Technologies as Prioritized by News Media
par: Allaham, Mowafak, et autres
Publié: (2025)

An Overview of the Risk-based Model of AI Governance
par: Fry, Veve
Publié: (2025)

Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance
par: Tahaei, Mohammmad, et autres
Publié: (2024)

Promising Topics for U.S.-China Dialogues on AI Risks and Governance
par: Siddiqui, Saad, et autres
Publié: (2025)

AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies
par: Zeng, Yi, et autres
Publié: (2024)

The Biggest Risk of Embodied AI is Governance Lag
par: Liu, Shaoshan
Publié: (2026)

PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI Harm
par: Li, Jing-Jing, et autres
Publié: (2026)

The Decision Path to Control AI Risks Completely: Fundamental Control Mechanisms for AI Governance
par: Tao, Yong
Publié: (2025)

In Quest of an Extensible Multi-Level Harm Taxonomy for Adversarial AI: Heart of Security, Ethical Risk Scoring and Resilience Analytics
par: Khan, Javed I., et autres
Publié: (2026)

Towards a Harms Taxonomy of AI Likeness Generation
par: Bariach, Ben, et autres
Publié: (2024)

From Melting Pots to Misrepresentations: Exploring Harms in Generative AI
par: Gautam, Sanjana, et autres
Publié: (2024)

Vernacularizing Taxonomies of Harm is Essential for Operationalizing Holistic AI Safety
par: Kennedy, Wm. Matthew, et autres
Publié: (2024)

From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms for Dignified Human-AI Interaction
par: Ehsan, Upol, et autres
Publié: (2026)

Echoes of AI Harms: A Human-LLM Synergistic Framework for Bias-Driven Harm Anticipation
par: Tantalaki, Nicoleta, et autres
Publié: (2025)

Implications for Governance in Public Perceptions of Societal-scale AI Risks
par: Gruetzemacher, Ross, et autres
Publié: (2024)

Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies
par: Berdoz, Frédéric, et autres
Publié: (2024)

Designing Incident Reporting Systems for Harms from General-Purpose AI
par: Wei, Kevin, et autres
Publié: (2025)

In Oxford Handbook on AI Governance: The Role of Workers in AI Ethics and Governance
par: Luka, Natalia, et autres
Publié: (2021)

Transfeminist AI Governance
par: Attard-Frost, Blair
Publié: (2025)

Fairness Risks for Group-conditionally Missing Demographics
par: Jiang, Kaiqi, et autres
Publié: (2024)

From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards
par: Chehbouni, Khaoula, et autres
Publié: (2024)

Approaching Emergent Risks: An Exploratory Study into Artificial Intelligence Risk Management within Financial Organisations
par: McGee, Finlay
Publié: (2024)

Perpetuating Misogyny with Generative AI: How Model Personalization Normalizes Gendered Harm
par: Wagner, Laura, et autres
Publié: (2025)

GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
par: Cobben, Pepijn, et autres
Publié: (2026)

From Disclosure to Self-Referential Opacity: Six Dimensions of Strain in Current AI Governance
par: Rost, Tony
Publié: (2026)

From Guidelines to Governance: A Study of AI Policies in Education
par: Ghimire, Aashish, et autres
Publié: (2024)

The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships
par: Zhang, Renwen, et autres
Publié: (2024)

Unbounded Harms, Bounded Law: Liability in the Age of Borderless AI
par: Tran, Ha-Chi
Publié: (2026)

The Stories We Govern By: AI, Risk, and the Power of Imaginaries
par: Oldenburg, Ninell, et autres
Publié: (2025)

Risk-Adjusted Harm Scoring for Automated Red Teaming for LLMs in Financial Services
par: Dimino, Fabrizio, et autres
Publié: (2026)

Minimum Viable Ethics: From Institutionalizing Industry AI Governance to Product Impact
par: Ahlawat, Archana, et autres
Publié: (2024)

Semantic Risk Scoring of Aggregated Metrics: An AI-Driven Approach for Healthcare Data Governance
par: Ahmed, Mohammed Omer Shakeel
Publié: (2026)