Artificial Intelligence

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Led by: Peer-to-peer learning session among state human services leaders actively implementing AI-enabled improvements

Human services agencies are under intense pressure to stabilize Medicaid and SNAP at a moment marked by eligibility backlogs, procedural disenrollments, high error rates, staffing shortages, and declining public trust. This session focuses on how states are using AI right now to address these challenges—by improving outreach, reducing churn, supporting caseworkers, and preventing avoidable loss of coverage. Participants will hear directly from state leaders experimenting with AI-enabled tools to improve redeterminations, identify at-risk cases, reduce administrative burden, and strengthen client communication. The session emphasizes operational realism: what agencies are actually deploying, where AI has helped (and where it hasn’t), and how leaders are navigating policy constraints, equity risks, and political scrutiny. Come join us for this peer-to-peer learning session on practical innovations. The goal is to equip participants with lessons they can apply immediately in Medicaid and SNAP contexts, regardless of system maturity.

By the end of this workshop, participants will be able to:

  • Identify AI-supported strategies states are using to reduce Medicaid and SNAP churn, delays, and procedural terminations
  • Understand how AI is being applied to support redeterminations, case prioritization, and client outreach without replacing human judgment
  • Analyze implementation conditions that enabled success, including leadership choices, governance structures, and workforce integration
  • Distinguish between AI uses that meaningfully improve access and accuracy versus those that introduce new risks or inequities
  • Extract practical lessons applicable to their own Medicaid, SNAP, or integrated eligibility environments
This workshop is part of an InnovateUS Series called Human Services
View more workshops from Human Services
Peer-to-peer learning session among state human services leaders actively implementing AI-enabled improvements

Format: online

Date & Time: April 20, 2026, 2:00 AM ET

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