Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI

March 31, 2023 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Wesley Hanwen Deng, Motahhare Eslami, Kenneth Holstein arXiv ID 2304.00167 Category cs.HC: Human-Computer Interaction Citations 2 Venue arXiv.org Last Checked 4 months ago
Abstract
Data-driven algorithmic and AI systems are increasingly being deployed to automate or augment decision processes across a wide range of public service settings. Yet community members are often unaware of the presence, operation, and impacts of these systems on their lives. With the shift towards algorithmic decision-making in public services, technology developers increasingly assume the role of de-facto policymakers, and opportunities for democratic participation are foreclosed. In this position paper, we articulate an early vision around the design of ubiquitous infrastructure for public learning and engagement around civic AI technologies. Building on this vision, we provide a list of questions that we hope can prompt stimulating conversations among the HCI community.
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