Human, AI, and Organizational Performance (HAOP): A Safety Framework for the AI Era

Abstract

Human, AI, and Organizational Performance (HAOP) is a safety framework extending Human and Organizational Performance (HOP) to work systems in which AI performs consequential functions. The framework recognizes three performers in one work system – the human who adapts, the AI that optimizes within its representation and constraints, and the organization that contains and governs, authoring the conditions both perform inside – and provides the governance architecture that follows from seeing them together: characteristic failure and contribution signatures; a five-hazard register for AI-enabled work; five operating modes that classify how AI performs in the work; an Accountability by Control discipline that keeps responsibility attached to the roles holding relevant control; a work-design method organized by the industrial hygiene sequence ARECC; workflow design requirements for grounding through four anchor types, Verification Gates in human, automated, and hybrid form, Anchor Access, the protected ability to pause, and the Designed AI Reassessment Pause; a bidirectional hazard-communication requirement carried by the AI Deployment Safety Data Sheet; candidate leading measures for Verification Overrun as a hazard condition; and the True Function Test, an initial diagnostic that can be applied now. Companion deposits: Verification Overrun: The Safety Hazard Inside AI Oversight (concept DOI: 10.5281/zenodo.20874288; resolves to the latest version); The Collapse of Correction: Closed Informational Loops in Safety-Critical Work, v1.0 (DOI: 10.5281/zenodo.20856122); From Human-in-the-Loop to Human-in-the-Design, v1.1 (DOI: 10.5281/zenodo.21633748), supplying the Verification Requirement and Capacity apparatus and the three design obligations. The concept DOI https://doi.org/10.5281/zenodo.21631544 resolves to the latest version; The HAOP Method: ARECC Applied to AI-Enabled Work Systems, v1.0 (DOI: 10.5281/zenodo.21868086), supplying the framework's application method.The concept DOI https://doi.org/10.5281/zenodo.21868085 resolves to the latest version Changes in Version 6.0 (August 23, 2026) appear in the document itself before the Table of Contents.