Agentic AI in Government: Balancing Autonomy and Accountability

Artificial intelligence is already transforming how government agencies process data, respond to threats and deliver services. But agentic AI — systems that can make autonomous decisions, perform complex tasks and interact across platforms independently — signals a deeper, more disruptive shift.

Unlike traditional systems that simply analyze and inform, agentic AI can act. It doesn’t just offer recommendations; it carries them out, making decisions, initiating actions and learning from outcomes with minimal human input.

This leap from reactive to proactive AI brings enormous potential and equally significant risks. Agentic systems can reason, remember and access external tools, enabling them to function more like autonomous teammates than passive assistants. That ability could accelerate decision-making across government, from battlefield scenarios to back-office operations — but it also raises pressing questions about oversight, trust and accountability.

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