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Governance and control

Brookings proposes continuous authorization and runtime governance for AI agents

Landry Signé and Karla Yee Amezaga argue that agent oversight must track capability, authority, architecture, context and consequences continuously. Their proposal specifies scoped permissions, accountable owners, traces and escalation rather than relying only on predeployment approval. It is analysis, not an enacted control or proven deployment.

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CURRENT ASSESSMENT · REVISION 1
AWAY FROM DOOM12confidence 55/100

Why it moved the index

The proposal identifies concrete mechanisms for limiting delegated agent authority as actions outpace human review. Magnitude 12 reflects useful operational governance reasoning rather than implementation; confidence 55 reflects a specific institutional synthesis whose effectiveness remains untested.

Assessment history

  1. R1
    Away 12 · confidence 55

    Owner-requested 30-day re-audit found this dated, materially distinct source absent from the durable catalogue.

    30 Oct 2026

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  1. DoomBench assesses “Brookings proposes continuous authorization and runtime governance for AI agents” as evidence moving away from doom, with magnitude 12 and confidence 55 out of 100 in the governance and control category.

  2. The DoomBench assessment of “Brookings proposes continuous authorization and runtime governance for AI agents” is based on reporting from Brookings Institution and records the editorial rationale, source quality, attribution, and...

  3. DoomBench summarizes “Brookings proposes continuous authorization and runtime governance for AI agents” as follows: Landry Signé and Karla Yee Amezaga argue that agent oversight must track capability, authority, architecture, context...

    https://www.doombench.com/news/brookings-proposes-continuous-authorization-and-runtime-governance-for-ai-agents-2026-10-12