Imagen de Portada

Towards a Harms Taxonomy of AI Likeness Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bariach, Ben, Hogan, Bernie, McBride, Keegan
Formato:	Preprint
Publicado:	2024
Materias:	Computers and Society
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Vernacularizing Taxonomies of Harm is Essential for Operationalizing Holistic AI Safety
por: Kennedy, Wm. Matthew, et al.
Publicado: (2024)

Musical consonance: a review of theory and evidence on perception and preference of auditory roughness in humans and other animals
por: McBride, John M.
Publicado: (2025)

LLM Harms: A Taxonomy and Discussion
por: Chen, Kevin, et al.
Publicado: (2025)

The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships
por: Zhang, Renwen, et al.
Publicado: (2024)

MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning
por: Ghosh, Rajarshi, et al.
Publicado: (2025)

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

Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators
por: Hutiri, Wiebke, et al.
Publicado: (2024)

Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators
por: Jo, Claire Wonjeong, et al.
Publicado: (2024)

A Taxonomy of Systemic Risks from General-Purpose AI
por: Uuk, Risto, et al.
Publicado: (2024)

Designing Incident Reporting Systems for Harms from General-Purpose AI
por: Wei, Kevin, et al.
Publicado: (2025)

Perpetuating Misogyny with Generative AI: How Model Personalization Normalizes Gendered Harm
por: Wagner, Laura, et al.
Publicado: (2025)

PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI Harm
por: Li, Jing-Jing, et al.
Publicado: (2026)

A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI
por: El-Sayed, Seliem, et al.
Publicado: (2024)

Self-Regulated Personal Contracts as a Harm Reduction Approach to Generative AI in Undergraduate Programming Education
por: Padiyath, Aadarsh, et al.
Publicado: (2026)

Balancing Fairness and Accuracy in Data-Restricted Binary Classification
por: Lazri, Zachary McBride, et al.
Publicado: (2024)

AI Generated Child Sexual Abuse Material -- What's the Harm?
por: Ciardha, Caoilte Ó, et al.
Publicado: (2025)

From Incidents to Insights: Patterns of Responsibility following AI Harms
por: Richards, Isabel, et al.
Publicado: (2025)

A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms
por: Abercrombie, Gavin, et al.
Publicado: (2024)

Echoes of AI Harms: A Human-LLM Synergistic Framework for Bias-Driven Harm Anticipation
por: Tantalaki, Nicoleta, et al.
Publicado: (2025)

From Melting Pots to Misrepresentations: Exploring Harms in Generative AI
por: Gautam, Sanjana, et al.
Publicado: (2024)

AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources
por: Bagehorn, Frank, et al.
Publicado: (2025)

A Canary in the AI Coal Mine: American Jews May Be Disproportionately Harmed by Intellectual Property Dispossession in Large Language Model Training
por: Precel, Heila, et al.
Publicado: (2024)

Global Perspectives of AI Risks and Harms: Analyzing the Negative Impacts of AI Technologies as Prioritized by News Media
por: Allaham, Mowafak, et al.
Publicado: (2025)

From Linear Risk to Emergent Harm: Complexity as the Missing Core of AI Governance
por: Paz, Hugo Roger
Publicado: (2025)

From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms for Dignified Human-AI Interaction
por: Ehsan, Upol, et al.
Publicado: (2026)

A Legal Risk Taxonomy for Generative Artificial Intelligence
por: Atkinson, David, et al.
Publicado: (2024)

User Privacy Harms and Risks in Conversational AI: A Proposed Framework
por: Gumusel, Ece, et al.
Publicado: (2024)

Taxonomy and Analysis of Sensitive User Queries in Generative AI Search
por: Jo, Hwiyeol, et al.
Publicado: (2024)

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

Taxonomy and Consistency Analysis of Safety Benchmarks for AI Agents
por: Li, Miles Q., et al.
Publicado: (2026)

A Taxonomy of the Biases of the Images created by Generative Artificial Intelligence
por: Vázquez, Adriana Fernández de Caleya, et al.
Publicado: (2024)

Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act
por: Yew, Rui-Jie, et al.
Publicado: (2025)

"Make It Sound Like a Lawyer Wrote It": Scenarios of Potential Impacts of Generative AI for Legal Conflict Resolution
por: Kieslich, Kimon, et al.
Publicado: (2026)

Intimacy as Service, Harm as Externality: Critical Perspectives on AI Companion Platform Accountability
por: Eom, Dayeon, et al.
Publicado: (2026)

"Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education
por: Harvey, Emma, et al.
Publicado: (2025)

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM
por: Zhang, Chi, et al.
Publicado: (2025)

Mapping AI Risk Mitigations: Evidence Scan and Preliminary AI Risk Mitigation Taxonomy
por: Saeri, Alexander K., et al.
Publicado: (2025)

Validated Hypotheses as a Lens for Human-Likeness Evaluation in AI Agents
por: Liu, Xuan, et al.
Publicado: (2026)

Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits
por: Mun, Jimin, et al.
Publicado: (2024)

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