STA for Physical AI: Safe-Stop Authority, Actuator Commitment, and Minimal-Risk Intervention

This record is Paper 4 of the Signal-Time-Authority (STA) Series. Paper 4 extends the STA pre-commitment controllability framework to physical and embodied AI systems. It focuses on actuator commitment, time-to-impact, physical authority, safe-stop policy, fallback controllers, minimal-risk intervention, shutdown-induced harm, and domain standards boundaries. Paper 1 introduces the STA framework: https://doi.org/10.5281/zenodo.19980763 Paper 2 provides staged C++17 synthetic toy-simulation evidence: https://doi.org/10.5281/zenodo.19984104 Paper 3 specifies authority governors and runtime deployment architecture: https://doi.org/10.5281/zenodo.19984352 This paper does not claim that a kill switch is sufficient for safety. Instead, it argues that physical AI requires domain-configurable safe-stop authority, validated fallback behavior, and harm-aware intervention policies. This is a PublicRelease v1.0 record.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-02
DOI
https://doi.org/10.5281/zenodo.19984706
Citations
8
Primary Topic
Security and Verification in Computing
Type
article
Field-Weighted Citation Impact
239.35
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article

STA for Physical AI: Safe-Stop Authority, Actuator Commitment, and Minimal-Risk Intervention

Htet Ko Ko Naing
8 citations
Zenodo (CERN European Organization for Nuclear Research)
Security and Verification in Computing
239.35
article

STA for Physical AI: Safe-Stop Authority, Actuator Commitment, and Minimal-Risk Intervention

Htet Ko Ko Naing
article en
8 citations

Abstract

This record is Paper 4 of the Signal-Time-Authority (STA) Series. Paper 4 extends the STA pre-commitment controllability framework to physical and embodied AI systems. It focuses on actuator commitment, time-to-impact, physical authority, safe-stop policy, fallback controllers, minimal-risk intervention, shutdown-induced harm, and domain standards boundaries. Paper 1 introduces the STA framework: https://doi.org/10.5281/zenodo.19980763 Paper 2 provides staged C++17 synthetic toy-simulation evidence: https://doi.org/10.5281/zenodo.19984104 Paper 3 specifies authority governors and runtime deployment architecture: https://doi.org/10.5281/zenodo.19984352 This paper does not claim that a kill switch is sufficient for safety. Instead, it argues that physical AI requires domain-configurable safe-stop authority, validated fallback behavior, and harm-aware intervention policies. This is a PublicRelease v1.0 record.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 0%
Security and Verification in Computing
239.35
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