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TL;DR: agentic AI changes liability and risk posture—define what actions agents are allowed to take and when humans must intervene.
TL;DR: agentic AI changes liability and risk posture—define what actions agents are allowed to take and when humans must intervene.
Morgan Lewis explains the shift from reactive generative AI to agentic systems that can set objectives, retrieve information, decide, act, and iterate. The core problem is legal and operational: once agents act, errors become financial and regulatory, not merely informational. The post offers considerations for defining autonomy boundaries and calibrating human review thresholds.
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