Perpetuating Misogyny with Generative AI: How Model Personalization Normalizes Gendered Harm
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Wagner, Laura, Cetinic, Eva |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity
par: Palmini, Maria-Teresa De Rosa, et autres
Publié: (2025)
par: Palmini, Maria-Teresa De Rosa, et autres
Publié: (2025)
Self-Regulated Personal Contracts as a Harm Reduction Approach to Generative AI in Undergraduate Programming Education
par: Padiyath, Aadarsh, et autres
Publié: (2026)
par: Padiyath, Aadarsh, et autres
Publié: (2026)
Patterns of Creativity: How User Input Shapes AI-Generated Visual Diversity
par: Palmini, Maria-Teresa De Rosa, et autres
Publié: (2024)
par: Palmini, Maria-Teresa De Rosa, et autres
Publié: (2024)
Towards a Harms Taxonomy of AI Likeness Generation
par: Bariach, Ben, et autres
Publié: (2024)
par: Bariach, Ben, et autres
Publié: (2024)
Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias
par: Dorn, Rebecca, et autres
Publié: (2024)
par: Dorn, Rebecca, et autres
Publié: (2024)
Designing Incident Reporting Systems for Harms from General-Purpose AI
par: Wei, Kevin, et autres
Publié: (2025)
par: Wei, Kevin, et autres
Publié: (2025)
ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages
par: Ghosh, Sourojit, et autres
Publié: (2023)
par: Ghosh, Sourojit, et autres
Publié: (2023)
Civiverse: A Dataset for Analyzing User Engagement with Open-Source Text-to-Image Models
par: Palmini, Maria-Teresa De Rosa, et autres
Publié: (2024)
par: Palmini, Maria-Teresa De Rosa, et autres
Publié: (2024)
Gendered Inequalities in Online Harms: Fear, Safety Work, and Online Participation
par: Enock, Florence E., et autres
Publié: (2024)
par: Enock, Florence E., et autres
Publié: (2024)
PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI Harm
par: Li, Jing-Jing, et autres
Publié: (2026)
par: Li, Jing-Jing, et autres
Publié: (2026)
Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation
par: Neumann, Terrence, et autres
Publié: (2024)
par: Neumann, Terrence, et autres
Publié: (2024)
Gender Bias in Machine Translation and The Era of Large Language Models
par: Vanmassenhove, Eva
Publié: (2024)
par: Vanmassenhove, Eva
Publié: (2024)
AI Generated Child Sexual Abuse Material -- What's the Harm?
par: Ciardha, Caoilte Ó, et autres
Publié: (2025)
par: Ciardha, Caoilte Ó, et autres
Publié: (2025)
Impact Ambivalence: How People with Eating Disorders Get Trapped in the Perpetual Cycle of Digital Food Content Engagement
par: Choi, Ryuhaerang, et autres
Publié: (2023)
par: Choi, Ryuhaerang, et autres
Publié: (2023)
Voice Under Revision: Large Language Models and the Normalization of Personal Narrative
par: van Nuenen, Tom
Publié: (2026)
par: van Nuenen, Tom
Publié: (2026)
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
par: Sen, Indira, et autres
Publié: (2023)
par: Sen, Indira, et autres
Publié: (2023)
From Incidents to Insights: Patterns of Responsibility following AI Harms
par: Richards, Isabel, et autres
Publié: (2025)
par: Richards, Isabel, et autres
Publié: (2025)
Vernacularizing Taxonomies of Harm is Essential for Operationalizing Holistic AI Safety
par: Kennedy, Wm. Matthew, et autres
Publié: (2024)
par: Kennedy, Wm. Matthew, et autres
Publié: (2024)
Evaluating Language Models for Harmful Manipulation
par: Akbulut, Canfer, et autres
Publié: (2026)
par: Akbulut, Canfer, et autres
Publié: (2026)
A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI
par: El-Sayed, Seliem, et autres
Publié: (2024)
par: El-Sayed, Seliem, et autres
Publié: (2024)
When Machines Get It Wrong: Large Language Models Perpetuate Autism Myths More Than Humans Do
par: Garrido-Merchán, Eduardo C., et autres
Publié: (2026)
par: Garrido-Merchán, Eduardo C., 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)
par: Tantalaki, Nicoleta, et autres
Publié: (2025)
From Melting Pots to Misrepresentations: Exploring Harms in Generative AI
par: Gautam, Sanjana, et autres
Publié: (2024)
par: Gautam, Sanjana, et autres
Publié: (2024)
The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
par: Rao, Pooja S. B., et autres
Publié: (2025)
par: Rao, Pooja S. B., et autres
Publié: (2025)
Artificial Delegates Resolve Fairness Issues in Perpetual Voting with Partial Turnout
par: Shah, Apurva, et autres
Publié: (2025)
par: Shah, Apurva, et autres
Publié: (2025)
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)
par: Allaham, Mowafak, et autres
Publié: (2025)
From Linear Risk to Emergent Harm: Complexity as the Missing Core of AI Governance
par: Paz, Hugo Roger
Publié: (2025)
par: Paz, Hugo Roger
Publié: (2025)
Minion: A Technology Probe to Explore How Users Negotiate Harmful Value Conflicts with AI Companions
par: Fan, Xianzhe, et autres
Publié: (2024)
par: Fan, Xianzhe, et autres
Publié: (2024)
How AI Generates Creativity from Inauthenticity
par: Brusseau, James, et autres
Publié: (2025)
par: Brusseau, James, et autres
Publié: (2025)
Evaluation without Generation: Non-Generative Assessment of Harmful Model Specialization with Applications to CSAM
par: Suriyakumar, Vinith M., et autres
Publié: (2026)
par: Suriyakumar, Vinith M., et autres
Publié: (2026)
User Privacy Harms and Risks in Conversational AI: A Proposed Framework
par: Gumusel, Ece, et autres
Publié: (2024)
par: Gumusel, Ece, 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)
par: Zhang, Renwen, et autres
Publié: (2024)
Unbounded Harms, Bounded Law: Liability in the Age of Borderless AI
par: Tran, Ha-Chi
Publié: (2026)
par: Tran, Ha-Chi
Publié: (2026)
Effect of Gender Fair Job Description on Generative AI Images
par: Böckling, Finn, et autres
Publié: (2025)
par: Böckling, Finn, et autres
Publié: (2025)
Artificial Intelligence (AI) Onto-norms and Gender Equality: Unveiling the Invisible Gender Norms in AI Ecosystems in the Context of Africa
par: Ndaka, Angella, et autres
Publié: (2024)
par: Ndaka, Angella, et autres
Publié: (2024)
Laissez-Faire Harms: Algorithmic Biases in Generative Language Models
par: Shieh, Evan, et autres
Publié: (2024)
par: Shieh, Evan, et autres
Publié: (2024)
AI Language Models Could Both Help and Harm Equity in Marine Policymaking: The Case Study of the BBNJ Question-Answering Bot
par: Ziegler, Matt, et autres
Publié: (2024)
par: Ziegler, Matt, et autres
Publié: (2024)
How Gender Interacts with Political Values: A Case Study on Czech BERT Models
par: Ali, Adnan Al, et autres
Publié: (2024)
par: Ali, Adnan Al, et autres
Publié: (2024)
The Personality Trap: How LLMs Embed Bias When Generating Human-Like Personas
par: Amidei, Jacopo, et autres
Publié: (2026)
par: Amidei, Jacopo, et autres
Publié: (2026)
Intimacy as Service, Harm as Externality: Critical Perspectives on AI Companion Platform Accountability
par: Eom, Dayeon, et autres
Publié: (2026)
par: Eom, Dayeon, et autres
Publié: (2026)
Documents similaires
-
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity
par: Palmini, Maria-Teresa De Rosa, et autres
Publié: (2025) -
Self-Regulated Personal Contracts as a Harm Reduction Approach to Generative AI in Undergraduate Programming Education
par: Padiyath, Aadarsh, et autres
Publié: (2026) -
Patterns of Creativity: How User Input Shapes AI-Generated Visual Diversity
par: Palmini, Maria-Teresa De Rosa, et autres
Publié: (2024) -
Towards a Harms Taxonomy of AI Likeness Generation
par: Bariach, Ben, et autres
Publié: (2024) -
Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias
par: Dorn, Rebecca, et autres
Publié: (2024)