Inclusive.AI: Engaging Underserved Populations in Democratic Decision-Making on AI

Tanusree Sharma

06-Dec-2023, 17:00-18:00 (5 months ago)

Abstract: Drawing from a series of research findings, it becomes evident that AI technologies can disproportionately impact underserved populations that overlook their unique requirements. Several challenges related to timely input, scalability, and plural, sometimes conflicting expectations of users and service providers emerge, necessitating a sociotechnical solution for consensus. To this end. there needs to be a deeper understanding of responsible computing for the development of emerging technologies (e.g., AI) by the distribution of power through technology in a democratic manner. This includes new methods for engaging underserved groups as a contributor to AI technologies; methods of technical inclusion in cooperative deliberative design; and creating technologies of empathy through tactical and opportunist interventions leveraging both experimental and theoretical techniques. In this work in Inlcusive.AI, I ask: How can we design meaningful and actionable governance solutions to engage users in the decision-making for sensitive, controversial value-laden topics in AI model behavior?

This project aims to utilize Decentralized Autonomous Organization (DAO) mechanisms to empower underserved groups, such as people with disabilities, and people from the global south in decision-making processes related to AI. Different DAO mechanisms and configurations were tested to facilitate democratic decision-making. We developed a collaborative decision-making platform, named Inclusive.AI, that allows diverse parties to engage in discussions, proposals, and voting related to AI-related issues. We conducted a series of randomized online experiments with 235 people with disabilities and individuals from the Global South, through a 2x2 experiment design where we manipulated the voting methods (ranked voting vs. quadratic voting) and voting token distribution (equal distribution vs. differential 20/80 distribution) to understand people’s norms, expectation and perception of the process being democratic.

game theoryhuman-computer interactionsocial and information networkslaw and economics

Audience: researchers in the topic

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Metagovernance Seminar

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