Editorial Board

Abstract Conversational AI systems are increasingly used at the point of therapeutic choice in oncology. In structured decision-stage testing across multiple leading AI systems, identical treatment-selection questions produced materially different “preferred therapy” outcomes depending solely on platform. The divergence did not arise from guideline deviation or factual error.

The Governance Blind Spot in External AI Systems AIVO Journal – Governance Commentary Abstract AI governance has concentrated on execution risk: whether agents act lawfully, whether decisions are compliant, whether liability can be assigned. This focus leaves a structural blind spot. Before execution, there is representation. Large language models shape how

AI assistants are compressing vendor evaluation into decision workflows that many organisations do not monitor. Over the past two years, SaaS competition has quietly shifted layers. The dominant question used to be: Are we visible? The emerging question is: Are we eligible? Structured multi-model observation across procurement-like prompt

Context The previous analyses in this series established two related problems: external AI systems now generate decision-relevant representations without organisational visibility, and optimisation-first approaches contaminate the evidentiary record organisations later need to evaluate their own interventions. The governance implication follows directly: Observation must precede intervention. The next question

Most optimisation strategies begin from a simple premise: if AI systems are shaping decisions, then influencing those systems is the rational response. What this framing overlooks is that intervention changes the very environment organisations later attempt to evaluate. Once optimization begins: * the original answer state is lost * subsequent outputs are

Abstract Recent analyses of large-scale citation behavior in conversational AI systems have suggested that visibility within citation graphs offers a proxy for influence and decision relevance. This article explains why that assumption fails in decision-adjacent contexts, and why reliance on citation data creates a false sense of governance