Upload From Theatrical Safety to Mathematical Certainty.pdf

This paper introduces the Pearson AIS Protocol (Alignment Integrity Systems), a control-systems framework for deterministic governance of autonomous and agentic AI systems.

Current AI safety approaches rely primarily on policies, audits, and post-hoc review mechanisms operating at human timescales. As autonomous systems act at machine speed, these methods introduce a governance latency gap in which violations occur before intervention is possible.

AIS reframes ethics enforcement as a real-time control problem rather than a procedural or linguistic one.

The protocol:

• models ethical intent as a versioned state-space constraint
• continuously measures runtime behavior against a certified ethical ground truth (Eₖ)
• enforces alignment geometrically using an Ethical Coherence metric (cosine similarity)
• applies proportional friction (L_AIS) to slow only drifting dimensions
• establishes deterministic no-cross safety floors
• requires cryptographically signed human authorization (Restoration Signature Index, Sᵣ) for any system recovery

This architecture enables:

• sub-second intervention
• non-bypassable enforcement
• zero-trust governance boundaries
• auditable, human-sovereign control of autonomous behavior

The AIS Protocol provides a mathematically enforceable alternative to checklist-based safety and is intended for runtime governance of agentic systems operating under real-world latency constraints.

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From Theatrical Safety to Mathematical Certainty.pdf

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