Community-Centered AI: Identifying and Navigating Trade-offs Across Multiple Community Goals in AI Design

Haiyi Zhu (CMU)

01-Sep-2021, 16:00-17:00 (3 years ago)

Abstract: AI technologies are increasingly impacting a wide variety of communities, both online and offline, in complex and important ways. However, AI tools and systems that appear to provide efficient solutions to address communities’ problems can fail in practice. To address the challenge, researchers are increasingly arguing for the importance of engaging relevant community stakeholders in the design of the AI systems that will be deployed in these communities. However, the complicated nature of a community's goals and needs, and the complexity of AI’s development procedure, outputs, and potential impacts, often prevent community stakeholders from meaningful participation in the decision-making of AI system design. In this talk, we propose a community-centered AI design approach and argue for the importance of collective decision-making via deliberation, mediated through technical innovations. Specifically, we develop and use a suite of innovative tools, techniques, and methods to capture and explain the trade-offs across multiple community goals in AI design, to engage community stakeholders to explore, discuss, and negotiate the trade-offs, and make collective and informed decisions. In the talk, I will discuss our ongoing work, focusing on conducting community-centered AI design in two high-impact online community contexts, Wikipedia and 7 Cups.

game theoryhuman-computer interactionsocial and information networkslaw and economics

Audience: researchers in the topic

( chat | video )


Metagovernance Seminar

Series comments: The Metagovernance Seminar invites individuals working in online governance to present their work to a community of other researchers and practitioners. Topics of the seminar include, but are not limited to, computational tools for governance, governance incidents and case studies from online communities, topics in cryptoeconomics, and the design of digital constitutions.

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Organizers: Joshua Tan*, Nathan Schneider*, Jenny Fan*, Michael Zargham*, Amy X. Zhang*, Cent*, Eugene Leventhal*
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