Related papers: Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir"

Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir"

URL: http://arxiv.org/abs/2111.01122v1
Date: Mon, 1 Nov 2021 17:57:04 GMT
Title: Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir"
Authors: Fernando Delgado, Stephen Yang, Michael Madaio, Qian Yang
Abstract summary: This 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. Based on our literature synthesis and empirical research, this paper presents a conceptual framework for analyzing participatory approaches to AI design.
Score: 76.44130385507894
License: http://creativecommons.org/licenses/by/4.0/
Abstract: 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.

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