Stage 8 — Candidate Surfacing: Selection for Human-Facing Exposure (v0.7)

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Authors: Bernard Lynch
Cited by: 0

Abstract

Comprehensive technical documentation of Stage 8 of the 11-Stage AI Visibility Lifecycle. Covers how AI systems select trusted digital entities as candidates for human-facing exposure. Details competitive readiness assessment, content selection mechanisms, ranking algorithms, and the surfacing conditions that determine which entities progress from internal trust to external visibility. Marks the transition from AI-internal evaluation to human-facing presentation. Part of the AI Visibility Architecture (AIVA) framework documentation.

Fields of Study & Subjects

Ethics and Social Impacts of AI Recommender Systems and Techniques Information Retrieval and Search Behavior

Publication details

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