Trust in Depth: Giving agents more autonomy without losing control

AWS Machine Learning Shawn Bice

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Source summary (English)

Enterprise leaders want AI agents to take on more work but don't fully trust them to act correctly every time. Trust in Depth is AWS's layered approach-scope, know, bound, observe, and prove-that lets agents act on their own when their actions can be verified, reserving human judgment for the decisions that need it.

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