Stage 9 — Early Human Visibility: Experimental User Exposure (v0.7)

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Authors: Bernard Lynch
Cited by: 0

Abstract

Comprehensive technical documentation of Stage 9 of the 11-Stage AI Visibility Lifecycle. Covers how AI systems begin testing trusted digital entities with real users through experimental or limited human exposure. Details early visibility signals, user interaction testing, A/B exposure patterns, feedback loop mechanisms, and the experimental conditions that determine whether entities progress from limited testing to stable baseline visibility. Part of the AI Visibility Architecture (AIVA) framework documentation.

Fields of Study & Subjects

Ethics and Social Impacts of AI Explainable Artificial Intelligence (XAI) Recommender Systems and Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026
Language
EN