The Future of HCI-Policy Collaboration
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Abstract (arXiv)
Policies significantly shape computation's societal impact, a crucial HCI concern. However, challenges persist when HCI professionals attempt to integrate policy into their work or affect policy outcomes. Prior research considered these challenges at the ``border'' of HCI and policy. This paper asks: What if HCI considers policy integral to its intellectual concerns, placing system-people-policy interaction not at the border but nearer the center of HCI research, practice, and education? What if HCI fosters a mosaic of methods and knowledge contributions that blend system, human, and policy expertise in various ways, just like HCI has done with blending system and human expertise? We present this re-imagined HCI-policy relationship as a provocation and highlight its usefulness: It spotlights previously overlooked system-people-policy interaction work in HCI. It unveils new opportunities for HCI's futuring, empirical, and design projects. It allows HCI to coordinate its diverse policy engagements, enhancing its collective impact on policy outcomes.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Sep 2024.
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Citing papers per year: 2024: 1; 2025: 6; 2026: 1.
8 papers.
- 2025AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depressioncited by 13
- 2025Trustless Autonomy: Understanding Motivations, Benefits, and Governance Dilemmas in Self-Sovereign Decentralized AI Agentscited by 10
- 2024Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakerscited by 3
- 2025What Makes LLM Agent Simulations Useful for Policy Practice? An Iterative Design Study in Emergency Preparednesscited by 2
- 2025FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Labor Organizerscited by 1
- 2025Botender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based Provocationscited by 1
- 2025FareShare: A Tool for Labor Organizers to Estimate Lost Wages and Contest Arbitrary AI and Algorithmic Deactivationscited by 0
- 2026Kami of the Commons: Towards Designing Agentic AI to Steward the Commonscited by 0
- 2026Kami of the Commons: Towards Designing Agentic AI to Steward the Commons16 Feb 2026
- 2025Botender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based Provocations29 Sep 2025
- 2025What Makes LLM Agent Simulations Useful for Policy Practice? An Iterative Design Study in Emergency Preparedness26 Sep 2025
- 2025Trustless Autonomy: Understanding Motivations, Benefits, and Governance Dilemmas in Self-Sovereign Decentralized AI Agents14 May 2025
- 2025FareShare: A Tool for Labor Organizers to Estimate Lost Wages and Contest Arbitrary AI and Algorithmic Deactivations13 May 2025
- 2025AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depression26 Apr 2025
- 2025FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Labor Organizers16 Feb 2025
- 2024Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakers30 Oct 2024