Latency Kill Zones: Why Agentic AI Needs a Mechanical Governor, Not Just a Policy Sign

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Auteur principal: Rupp, Charles
Format: Recurso digital
Publié: Zenodo 2026
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_version_ 1866901973562818560
author Rupp, Charles
author_facet Rupp, Charles
contents <p><span>Your agentic AI just made 47,000 decisions while you read this sentence. Your governance committee meets quarterly. We're governing systems that operate at machine speed with frameworks designed for human speed. It's like posting a speed limit sign for electrons. The sign might make us feel responsible, but physics doesn't care about our policies. Businesses complain that government polices slow down innovation. We do it to ourselves by allowing harm to occur under the guise of "efficiency" and "learning" rather than building governance in from the beginning.</span></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18300685
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Latency Kill Zones: Why Agentic AI Needs a Mechanical Governor, Not Just a Policy Sign
Rupp, Charles
Artificial Intelligence
Artificial Intelligence/ethics
Artificial Intelligence/classification
Artificial Intelligence/standards
<p><span>Your agentic AI just made 47,000 decisions while you read this sentence. Your governance committee meets quarterly. We're governing systems that operate at machine speed with frameworks designed for human speed. It's like posting a speed limit sign for electrons. The sign might make us feel responsible, but physics doesn't care about our policies. Businesses complain that government polices slow down innovation. We do it to ourselves by allowing harm to occur under the guise of "efficiency" and "learning" rather than building governance in from the beginning.</span></p>
title Latency Kill Zones: Why Agentic AI Needs a Mechanical Governor, Not Just a Policy Sign
topic Artificial Intelligence
Artificial Intelligence/ethics
Artificial Intelligence/classification
Artificial Intelligence/standards
url https://doi.org/10.5281/zenodo.18300685