Unverified50% confidenceFactExact time
The Trust Ladder is a progressive adoption framework proposed by Lauren Tan, which holds that trust cannot be achieved in one step and must be accumulated through verifiable small steps, with typical levels including observe, assist, supervise, delegate and full autonomy.
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50%
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Long-term
Relevance
10/19/2026
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Related Claims
UnverifiedThe "trust ladder" refers to the idea that as trust in agents gradually increases, increasingly complex tasks can be delegated to them and an increasing number of agents can be scheduled in parallel.74% similarUnverifiedThe critical first step to climbing the trust ladder is giving agents verification capabilities ("hands and eyes").69% similarUnverifiedThe core insight of the Trust in Depth framework is that autonomy is not granted by trust, but earned through verifiability.67% similarUnverifiedA tiered trust strategy should dynamically adjust the degree of human supervisory intervention based on the risk level of the task, trusting agent autonomy for low-risk tasks and building strict verification guardrails for high-risk tasks.67% similarUnverifiedIn agent scenarios, the trust boundary is extended to mean "the scope within which the agent is allowed to act autonomously," such as a read-only repository, an isolated sandbox branch, a non-production environment, or a restricted cloud resource quota; actions beyond the boundary must trigger human approval.65% similar
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