Traceable, Enforceable, and Compensable Participation: A Participation Ledger for People-Centered AI Governance
Fuente:
arXiv
Saved in:
| Main Author: | Mushkani, Rashid |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Intersectoral Knowledge in AI and Urban Studies: A Framework for Transdisciplinary Research
by: Mushkani, Rashid
Published: (2025)
by: Mushkani, Rashid
Published: (2025)
Street Review: A Participatory AI-Based Framework for Assessing Streetscape Inclusivity
by: Mushkani, Rashid, et al.
Published: (2025)
by: Mushkani, Rashid, et al.
Published: (2025)
Prompt Commons: Collective Prompting as Governance for Urban AI
by: Mushkani, Rashid
Published: (2025)
by: Mushkani, Rashid
Published: (2025)
Urban AI Governance Must Embed Legal Reasonableness for Democratic and Sustainable Cities
by: Mushkani, Rashid
Published: (2025)
by: Mushkani, Rashid
Published: (2025)
The Right to AI
by: Mushkani, Rashid, et al.
Published: (2025)
by: Mushkani, Rashid, et al.
Published: (2025)
Do Vision-Language Models See Urban Scenes as People Do? An Urban Perception Benchmark
by: Mushkani, Rashid
Published: (2025)
by: Mushkani, Rashid
Published: (2025)
Prompts for Public-Sector LLMs Should Be Governed as Commons
by: Mushkani, Rashid
Published: (2026)
by: Mushkani, Rashid
Published: (2026)
Negotiative Alignment: Embracing Disagreement to Achieve Fairer Outcomes -- Insights from Urban Studies
by: Mushkani, Rashid, et al.
Published: (2025)
by: Mushkani, Rashid, et al.
Published: (2025)
Voices in the Loop: Mapping Participatory AI
by: Mushkani, Rashid
Published: (2026)
by: Mushkani, Rashid
Published: (2026)
Measuring What Matters: The AI Pluralism Index
by: Mushkani, Rashid
Published: (2025)
by: Mushkani, Rashid
Published: (2025)
Governing Reflective Human-AI Collaboration: A Framework for Epistemic Scaffolding and Traceable Reasoning
by: Rosenbacke, Rikard, et al.
Published: (2026)
by: Rosenbacke, Rikard, et al.
Published: (2026)
Bringing AI Participation Down to Scale: A Comment on Open AIs Democratic Inputs to AI Project
by: Moats, David, et al.
Published: (2024)
by: Moats, David, et al.
Published: (2024)
Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits
by: Mun, Jimin, et al.
Published: (2024)
by: Mun, Jimin, et al.
Published: (2024)
Collective Recourse for Generative Urban Visualizations
by: Mushkani, Rashid
Published: (2025)
by: Mushkani, Rashid
Published: (2025)
Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable
by: Saha, Rounak, et al.
Published: (2026)
by: Saha, Rounak, et al.
Published: (2026)
Right-to-Override for Critical Urban Control Systems: A Deliberative Audit Method for Buildings, Power, and Transport
by: Mushkani, Rashid
Published: (2025)
by: Mushkani, Rashid
Published: (2025)
Economies of Open Intelligence: Tracing Power & Participation in the Model Ecosystem
by: Longpre, Shayne, et al.
Published: (2025)
by: Longpre, Shayne, et al.
Published: (2025)
AI-based Approach in Early Warning Systems: Focus on Emergency Communication Ecosystem and Citizen Participation in Nordic Countries
by: Shaik, Fuzel, et al.
Published: (2025)
by: Shaik, Fuzel, et al.
Published: (2025)
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
by: Mundt, Martin, et al.
Published: (2025)
by: Mundt, Martin, et al.
Published: (2025)
Towards Effective E-Participation of Citizens in the European Union: The Development of AskThePublic
by: Messerschmidt, Nils, et al.
Published: (2025)
by: Messerschmidt, Nils, et al.
Published: (2025)
Participation in the age of foundation models
by: Suresh, Harini, et al.
Published: (2024)
by: Suresh, Harini, et al.
Published: (2024)
LLMs Among Us: Generative AI Participating in Digital Discourse
by: Radivojevic, Kristina, et al.
Published: (2024)
by: Radivojevic, Kristina, et al.
Published: (2024)
Artificial Intelligence in Government: Why People Feel They Lose Control
by: Wuttke, Alexander, et al.
Published: (2025)
by: Wuttke, Alexander, et al.
Published: (2025)
Responsible AI Governance: A Response to UN Interim Report on Governing AI for Humanity
by: Kiden, Sarah, et al.
Published: (2024)
by: Kiden, Sarah, et al.
Published: (2024)
AI Royalties -- an IP Framework to Compensate Artists & IP Holders for AI-Generated Content
by: Ducru, Pablo, et al.
Published: (2024)
by: Ducru, Pablo, et al.
Published: (2024)
Can We Trust AI to Govern AI? Benchmarking LLM Performance on Privacy and AI Governance Exams
by: Witherspoon, Zane, et al.
Published: (2025)
by: Witherspoon, Zane, et al.
Published: (2025)
AI Governance Control Stack for Operational Stability: Achieving Hardened Governance in AI Systems
by: Morgan, Horatio
Published: (2026)
by: Morgan, Horatio
Published: (2026)
Agentic LLMs as Powerful Deanonymizers: Re-identification of Participants in the Anthropic Interviewer Dataset
by: Li, Tianshi
Published: (2026)
by: Li, Tianshi
Published: (2026)
A+AI: Threats to Society, Remedies, and Governance
by: Byrd, Don
Published: (2024)
by: Byrd, Don
Published: (2024)
WeDesign: Generative AI-Facilitated Community Consultations for Urban Public Space Design
by: Mushkani, Rashid, et al.
Published: (2025)
by: Mushkani, Rashid, et al.
Published: (2025)
Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media
by: Zhou, Xiaofan, et al.
Published: (2025)
by: Zhou, Xiaofan, et al.
Published: (2025)
Governing AI Beyond the Pretraining Frontier
by: Caputo, Nicholas A.
Published: (2025)
by: Caputo, Nicholas A.
Published: (2025)
AI TIPS 2.0: A Comprehensive Framework for Operationalizing AI Governance
by: Gupta, Pamela
Published: (2025)
by: Gupta, Pamela
Published: (2025)
AI Procurement Checklists: Revisiting Implementation in the Age of AI Governance
by: Zick, Tom, et al.
Published: (2024)
by: Zick, Tom, et al.
Published: (2024)
A Robust Governance for the AI Act: AI Office, AI Board, Scientific Panel, and National Authorities
by: Novelli, Claudio, et al.
Published: (2024)
by: Novelli, Claudio, et al.
Published: (2024)
The Controllability Trap: A Governance Framework for Military AI Agents
by: Sahoo, Subramanyam
Published: (2026)
by: Sahoo, Subramanyam
Published: (2026)
When Should Algorithms Resign? A Proposal for AI Governance
by: Bhatt, Umang, et al.
Published: (2024)
by: Bhatt, Umang, et al.
Published: (2024)
From Guidelines to Governance: A Study of AI Policies in Education
by: Ghimire, Aashish, et al.
Published: (2024)
by: Ghimire, Aashish, et al.
Published: (2024)
Global AI Bias Audit for Technical Governance
by: Hung, Jason
Published: (2026)
by: Hung, Jason
Published: (2026)
The Biggest Risk of Embodied AI is Governance Lag
by: Liu, Shaoshan
Published: (2026)
by: Liu, Shaoshan
Published: (2026)
Similar Items
-
Intersectoral Knowledge in AI and Urban Studies: A Framework for Transdisciplinary Research
by: Mushkani, Rashid
Published: (2025) -
Street Review: A Participatory AI-Based Framework for Assessing Streetscape Inclusivity
by: Mushkani, Rashid, et al.
Published: (2025) -
Prompt Commons: Collective Prompting as Governance for Urban AI
by: Mushkani, Rashid
Published: (2025) -
Urban AI Governance Must Embed Legal Reasonableness for Democratic and Sustainable Cities
by: Mushkani, Rashid
Published: (2025) -
The Right to AI
by: Mushkani, Rashid, et al.
Published: (2025)