Power to the People? Opportunities and Challenges for Participatory AI
Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark D\'iaz,, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed

TL;DR
This paper reviews participatory AI approaches, highlighting their potential for inclusive and equitable AI development, while discussing challenges, limitations, and the importance of contextual understanding and beneficiary considerations.
Contribution
It provides a comprehensive review of participatory AI methods, introduces three case studies, and discusses the opportunities and challenges for meaningful participation in AI.
Findings
Participation can empower marginalized communities.
Risks include cooptation and conflation with other activities.
Nuanced understanding of participation is crucial for benefits.
Abstract
Participatory approaches to artificial intelligence (AI) and machine learning (ML) are gaining momentum: the increased attention comes partly with the view that participation opens the gateway to an inclusive, equitable, robust, responsible and trustworthy AI.Among other benefits, participatory approaches are essential to understanding and adequately representing the needs, desires and perspectives of historically marginalized communities. However, there currently exists lack of clarity on what meaningful participation entails and what it is expected to do. In this paper we first review participatory approaches as situated in historical contexts as well as participatory methods and practices within the AI and ML pipeline. We then introduce three case studies in participatory AI.Participation holds the potential for beneficial, emancipatory and empowering technology design, development…
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