2021/11/01 by Fernando Delgado, Delgado, Fernando, Stephen Yang +6 · 2 citations
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Systems Theories and Implementation #Open Source Software Innovations #cs.AI #cs.CY #cs.HC
paper · pdf · doi:10.48550/arxiv.2111.01122
Pre-print of an accepted paper at the Human-Centered AI workshop at NeurIPS 2021
arxiv created 2021/11/01 · openalex publication_date 2021/11/01 · arxiv updated 2021/11/02 · openalex created_date 2021/11/08 · openalex updated_date 2026/07/28
There is a growing consensus in HCI and AI research that the design of AI systems needs to engage and empower stakeholders who will be affected by AI. However, the manner in which stakeholders should participate in AI design is unclear. This workshop paper aims to ground what we dub a 'participatory turn' in AI design by synthesizing existing literature on participation and through empirical analysis of its current practices via a survey of recent published research and a dozen semi-structured interviews with AI researchers and practitioners. Based on our literature synthesis and empirical research, this paper presents a conceptual framework for analyzing participatory approaches to AI design and articulates a set of empirical findings that in ensemble detail out the contemporary landscape of participatory practice in AI design. These findings can help bootstrap a more principled discussion on how PD of AI should move forward across AI, HCI, and other research communities.