Author: Michele Gilman
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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.
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Automation + AI 
POVERTY LAWGORITHMS: A Poverty Lawyer’s Guide to Fighting Automated Decision-Making Harms on Low-Income Communities
This guide, directed at poverty lawyers, explains automated decision-making systems so lawyers and advocates can better identify the source of their clients' problems and advocate on their behalf. Relevant for practitioners, this report covers key questions around automated decision-making systems.
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Digital Identity 
Digital Benefits Network Quarterly Call: What’s Next for Digital Identity in Public Benefits?
Identity proofing, authentication, and online access to benefits applications have been increasingly important issues for benefits agencies since the start of the COVID-19 pandemic. During the call, we heard from two speakers: April Dunlap, Policy Administrator for Arizona’s Department of Economic Security and Professor Michele Gilman, Venable Professor of Law and Associate Dean for Faculty Research and Development at the University of Baltimore School of Law.
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Digital Identity 
Me, Myself, and My Digital Double: Extending Sara Greene’s Stealing (Identity) From the Poor to the Challenges of Identity Verification
This essay explores the challenges of identity verification and suggests several paths forward for more equitable systems.