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Bounded Autonomy and Verifiable Safety for Agentic AI Enabled Automation
Not provided
bounded reasoningsafety governanceagentic AIepistemic risk
2610.08815
Builder Relevance
1h ago70%
Abstract
The paper presents a framework for ensuring safe deployment of agentic AI in high-stakes environments by addressing epistemic drift through bounded reasoning and safety governance.
Reality Card
Core Claim
The BRaVeS framework successfully enforces bounded governance behavior, achieving finite-step convergence without safety-guard violations in simulations.
Method / Result
The LBCF process achieved finite-step convergence across tested parameter-grouping strategies and thresholds.
Limitations
The safety of the full continuous neural activation space is not proven, which raises concerns about the generalizability of the results.
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