Cover Image

PolicyPad: Collaborative Prototyping of LLM Policies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Feng, K. J. Kevin, Kuo, Tzu-Sheng, Chen, Quan Ze, Cheong, Inyoung, Holstein, Kenneth, Zhang, Amy X.
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Policy Prototyping for LLMs: Pluralistic Alignment via Interactive and Collaborative Policymaking
by: Feng, K. J. Kevin, et al.
Published: (2024)

PolicyCraft: Supporting Collaborative and Participatory Policy Design through Case-Grounded Deliberation
by: Kuo, Tzu-Sheng, et al.
Published: (2024)

Botender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based Provocations
by: Kuo, Tzu-Sheng, et al.
Published: (2025)

Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration
by: Spitzer, Philipp, et al.
Published: (2024)

Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia
by: Kuo, Tzu-Sheng, et al.
Published: (2024)

Development of Mental Models in Human-AI Collaboration: A Conceptual Framework
by: Holstein, Joshua, et al.
Published: (2025)

Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors
by: Lam, Michelle S., et al.
Published: (2024)

ComplLLM: Fine-tuning LLMs to Discover Complementary Signals for Decision-making
by: Guo, Ziyang, et al.
Published: (2026)

From Consumption to Collaboration: Measuring Interaction Patterns to Augment Human Cognition in Open-Ended Tasks
by: Holstein, Joshua, et al.
Published: (2025)

Chain of Alignment: Integrating Public Will with Expert Intelligence for Language Model Alignment
by: Konya, Andrew, et al.
Published: (2024)

(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice
by: Cheong, Inyoung, et al.
Published: (2024)

Levels of Autonomy for AI Agents
by: Feng, K. J. Kevin, et al.
Published: (2025)

Exploring the Potential of Metacognitive Support Agents for Human-AI Co-Creation
by: Gmeiner, Frederic, et al.
Published: (2025)

Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use
by: Kawakami, Anna, et al.
Published: (2024)

AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development
by: Saxena, Devansh, et al.
Published: (2025)

Privacy Meets Explainability: Managing Confidential Data and Transparency Policies in LLM-Empowered Science
by: Shanmugarasa, Yashothara, et al.
Published: (2025)

Cocoa: Co-Planning and Co-Execution with AI Agents
by: Feng, K. J. Kevin, et al.
Published: (2024)

From Symptoms to Systems: An Expert-Guided Approach to Understanding Risks of Generative AI for Eating Disorders
by: Winecoff, Amy, et al.
Published: (2025)

LLM Bazaar: A Service Design for Supporting Collaborative Learning with an LLM-Powered Multi-Party Collaboration Infrastructure
by: Wu, Zhen, et al.
Published: (2025)

Case Law Grounding: Using Precedents to Align Decision-Making for Humans and AI
by: Chen, Quan Ze, et al.
Published: (2023)

Prototyping Multimodal GenAI Real-Time Agents with Counterfactual Replays and Hybrid Wizard-of-Oz
by: Gmeiner, Frederic, et al.
Published: (2025)

Learning Complementary Policies for Human-AI Teams
by: Gao, Ruijiang, et al.
Published: (2023)

Data Quality Challenges in Retrieval-Augmented Generation
by: Müller, Leopold, et al.
Published: (2025)

Toward an AI-Powered Computational Testbed for Workforce Policy
by: Vaid, Sumer S., et al.
Published: (2026)

Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies
by: Kraske, Benjamin, et al.
Published: (2024)

InFerActive: Interactive Tree-Based Exploration of LLM Sampling for Safety Evaluation
by: Hwangbo, Junhyeong, et al.
Published: (2025)

"Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Work
by: Hwang, Angel Hsing-Chi, et al.
Published: (2026)

Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions
by: Do, Hyo Jin, et al.
Published: (2024)

The Empty Chair: Using LLMs to Raise Missing Perspectives in Policy Deliberations
by: Fulay, Suyash, et al.
Published: (2025)

PASTA: A Scalable Framework for Multi-Policy AI Compliance Evaluation
by: Yang, Yu, et al.
Published: (2026)

Intent Tagging: Exploring Micro-Prompting Interactions for Supporting Granular Human-GenAI Co-Creation Workflows
by: Gmeiner, Frederic, et al.
Published: (2025)

LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions
by: Liao, Zhehui, et al.
Published: (2024)

Creativity in LLM-based Multi-Agent Systems: A Survey
by: Lin, Yi-Cheng, et al.
Published: (2025)

Ask, Clarify, Optimize: Human-LLM Agent Collaboration for Smarter Inventory Control
by: Duan, Yaqi, et al.
Published: (2025)

Toward AI Matching Policies in Homeless Services: A Qualitative Study with Policymakers
by: Johnston, Caroline M., et al.
Published: (2025)

ViviDoc: Generating Interactive Documents through Human-Agent Collaboration
by: Tang, Yinghao, et al.
Published: (2026)

PromptPilot: Improving Human-AI Collaboration Through LLM-Enhanced Prompt Engineering
by: Gutheil, Niklas, et al.
Published: (2025)

From Verification Burden to Trusted Collaboration: Design Goals for LLM-Assisted Literature Reviews
by: Nogueira, Brenda, et al.
Published: (2025)

Predictive Prototyping: Evaluating Design Concepts with ChatGPT
by: Yong, Hilsann, et al.
Published: (2026)

Mitigating LLM Hallucinations with Knowledge Graphs: A Case Study
by: Li, Harry, et al.
Published: (2025)