Resource Automation + AI

Democratizing AI: Principles for Meaningful Public Participation

In this policy brief and video, Michele Gilman summarizes evidence-based recommendations for better structuring public participation processes for AI, and underscores the urgency of enacting them.

Organization: Data & Society
Author: Michele Gilman
Published Year: 2023

The brief emphasizes that meaningful public participation is crucial in the development and deployment of AI systems due to their significant societal impacts and risks.

It presents evidence-based principles for effective participation, such as integrating public input throughout the AI lifecycle, prioritizing equity, building community capacity, institutionalizing participation, ensuring transparency, and mandating participation through enforceable laws, drawing on lessons from environmental policy and real-world case studies.