This study examines public attitudes toward balancing equity and efficiency in algorithmic resource allocation, using online advertising for SNAP enrollment as a case study.
This report evaluates the effectiveness and implementation of a generative AI-powered assistive chatbot designed to help caseworkers navigate complex public benefit programs like Medicaid and SNAP.
A unified taxonomy and tooling suite that consolidates AI risks across frameworks and links them to datasets, benchmarks, and mitigation strategies to support practical AI governance.
