Abstract
This framework manages AI agents by establishing behavioral boundaries and a persistent identity. It uses a multi-layered stack, combining safety rules with brand guidelines, to shape an agent's reasoning. Features include authority decay to limit power if confidence drops and memory segmentation to prevent data tampering. Centralized oversight ensures these digital representatives remain aligned with company policies through continuous monitoring and testing.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Kayande, Tanmay, "A Multi-Layered Framework for Behavioral Governance of Non-Deterministic AI Agents", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/9603
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