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This week on The Impact, Hal and Addie break down how AI in government is speeding up while guardrails tighten: GSA’s OneGov opens Meta’s Llama models to all agencies, which can cut costs and lock-in but still demands security reviews, ATO paths, model-risk management, and clear hosting and monitoring plans; Tribal nations center sovereignty with ASU’s “AI in Indian Country” convening and emerging rules that protect culture, data ownership, and local benefits; and “agentic” AI gets a reality check as leaders push transparency, audit trails, and human-in-the-loop oversight for use cases like proactive benefits, job training matches, and outbreak detection. The throughline is simple: move fast, ship strong guardrails, and remember Paul Decker’s line—no algorithm decides the kind of society we want to be.
 By MFStrategies
By MFStrategiesThis week on The Impact, Hal and Addie break down how AI in government is speeding up while guardrails tighten: GSA’s OneGov opens Meta’s Llama models to all agencies, which can cut costs and lock-in but still demands security reviews, ATO paths, model-risk management, and clear hosting and monitoring plans; Tribal nations center sovereignty with ASU’s “AI in Indian Country” convening and emerging rules that protect culture, data ownership, and local benefits; and “agentic” AI gets a reality check as leaders push transparency, audit trails, and human-in-the-loop oversight for use cases like proactive benefits, job training matches, and outbreak detection. The throughline is simple: move fast, ship strong guardrails, and remember Paul Decker’s line—no algorithm decides the kind of society we want to be.