---
id: "entity-emma-fox"
type: "entity"
entityType: "person"
canonicalName: "Emma Fox"
aliases: []
source_timestamps: ["§ The 4C Framework for Building Generative Readiness"]
tags: ["practitioner", "user-trust", "misinformation-risk"]
related: ["quote-customers-dont-probe", "concept-generative-listening-systems"]
speakers: ["Emma Fox"]
sources: ["geo"]
isSpeakerEntity: true
---
## Segment 3 — geo

## Article 1 — a001

# Emma Fox

**Profile:** Emma Fox is a cited practitioner voice in the source on how customers consume AI-generated answers.

**Role in the source:** Her observation that buyers largely accept AI answers at face value raises the stakes for accuracy and drives the need for [[concept-generative-listening-systems]] and cross-functional governance (see [[question-ai-liability-governance]]).

**Attributed contributions (vault):** [[quote-customers-dont-probe]] — *"Customers don't probe the answers deeply."* **Enrichment counter-nuance:** user trust is heterogeneous — some users cross-check, and high-stakes domains increasingly instruct professionals to treat AI outputs as advisory, so the risk is real but not universal.