Cover Image

Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mun, Jimin, Jiang, Liwei, Liang, Jenny, Cheong, Inyoung, DeCario, Nicole, Choi, Yejin, Kohno, Tadayoshi, Sap, Maarten
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Generative AI Ethics Playbook
by: Smith, Jessie J., et al.
Published: (2024)

Counterspeakers' Perspectives: Unveiling Barriers and AI Needs in the Fight against Online Hate
by: Mun, Jimin, et al.
Published: (2024)

Developing Story: Case Studies of Generative AI's Use in Journalism
by: Brigham, Natalie Grace, et al.
Published: (2024)

Why (not) use AI? Analyzing People's Reasoning and Conditions for AI Acceptability
by: Mun, Jimin, et al.
Published: (2025)

When Should AI Read the Room? Public Perceptions of Social Intelligence in AI Agents
by: Mathur, Leena, et al.
Published: (2026)

Examining Risks in the AI Companion Application Ecosystem
by: Brigham, Natalie Grace, et al.
Published: (2026)

LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins
by: Iqbal, Umar, et al.
Published: (2023)

GoodPoint: Learning Constructive Scientific Paper Feedback from Author Responses
by: Mun, Jimin, et al.
Published: (2026)

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

Examining the Effect of Explanations of AI Privacy Redaction in AI-mediated Interactions
by: Kaushik, Roshni, et al.
Published: (2026)

From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models
by: Mendelsohn, Julia, et al.
Published: (2023)

How Can AI Augment Access to Justice? Public Defenders' Perspectives on AI Adoption
by: Cheong, Inyoung, et al.
Published: (2025)

Extending the Formalism and Theoretical Foundations of Cryptography to AI
by: Villa, Federico, et al.
Published: (2026)

"Violation of my body:" Perceptions of AI-generated non-consensual (intimate) imagery
by: Brigham, Natalie Grace, et al.
Published: (2024)

Framing an AI with Values Reduces AI Reliance in AI-supported Writing Tasks
by: Gao, Alice, et al.
Published: (2026)

Minion: A Technology Probe to Explore How Users Negotiate Harmful Value Conflicts with AI Companions
by: Fan, Xianzhe, et al.
Published: (2024)

SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
by: Li, Jing-Jing, et al.
Published: (2024)

Generative Ghosts: Anticipating Benefits and Risks of AI Afterlives
by: Morris, Meredith Ringel, et al.
Published: (2024)

Towards Automating Data Access Permissions in AI Agents
by: Wu, Yuhao, et al.
Published: (2025)

HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions
by: Zhou, Xuhui, et al.
Published: (2024)

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
by: Sorensen, Taylor, et al.
Published: (2023)

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

Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance
by: Tahaei, Mohammmad, et al.
Published: (2024)

Attacking the Diebold Signature Variant -- RSA Signatures with Unverified High-order Padding
by: Gardner, Ryan W., et al.
Published: (2024)

Mind the Gesture: Evaluating AI Sensitivity to Culturally Offensive Non-Verbal Gestures
by: Yerukola, Akhila, et al.
Published: (2025)

Democratizing AI Governance: Balancing Expertise and Public Participation
by: Ter-Minassian, Lucile
Published: (2025)

The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers
by: Prather, James, et al.
Published: (2024)

Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp
by: Hong, Rachel, et al.
Published: (2024)

Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
by: Jiang, Liwei, et al.
Published: (2025)

Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
by: Mireshghallah, Niloofar, et al.
Published: (2023)

Useless but Safe? Benchmarking Utility Recovery with User Intent Clarification in Multi-Turn Conversations
by: Zheng, Mingqian, et al.
Published: (2026)

ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning
by: Li, Shuyue Stella, et al.
Published: (2025)

Analyzing the AI Nudification Application Ecosystem
by: Gibson, Cassidy, et al.
Published: (2024)

Bringing AI Participation Down to Scale: A Comment on Open AIs Democratic Inputs to AI Project
by: Moats, David, et al.
Published: (2024)

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
by: Jiang, Liwei, et al.
Published: (2024)

[Extended] Ethics in Computer Security Research: A Data-Driven Assessment of the Past, the Present, and the Possible Future
by: Ramulu, Harshini Sri, et al.
Published: (2025)

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

DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life
by: Chiu, Yu Ying, et al.
Published: (2024)

Un-Straightening Generative AI: How Queer Artists Surface and Challenge the Normativity of Generative AI Models
by: Taylor, Jordan, et al.
Published: (2025)

"I Just Don't Want My Work Being Fed Into The AI Blender": Queer Artists on Refusing and Resisting Generative AI
by: Taylor, Jordan, et al.
Published: (2026)