---
id: "entity-nicole-radziwill"
type: "entity"
entityType: "person"
canonicalName: "Nicole Radziwill"
aliases: ["Nicole"]
source_url: "https://hbr.org/2024/12/how-to-create-value-systematically-with-gen-ai"
source_title: "How to Create Value Systematically with Gen AI"
source_timestamps: ["§ The Generative AI Value-Creation Pyramid"]
tags: ["author", "ai-quality", "data-science"]
related: ["entity-todd-mclees", "entity-greg-satell", "concept-collective-intelligence-ai"]
speakers: ["Nicole Radziwill"]
sources: ["spine"]
isSpeakerEntity: true
---
## Segment 1 — spine

## Article 98 — a098

# Nicole Radziwill

**Profile.** Nicole Radziwill is an AI-systems and quality expert and a **co-author** of this HBR source. She is known for work on data science, quality engineering, and trustworthy AI — a perspective that informs the source's emphasis on ethical/safety protocols and measuring value beyond raw output.

**Role in the source.** Co-author; her quality-and-trust lens underpins the source's treatment of Level 3 (Transformation & Growth) safeguards and the caution around measuring collective-intelligence ROI. Canonical reference: her academic/professional profile (e.g., university or LinkedIn).

**Attributed contributions in this vault** (co-authored with [[entity-todd-mclees]] and [[entity-greg-satell]]):
- Co-developed [[concept-value-creation-pyramid]] / [[framework-value-creation-pyramid]]
- Shaped the collective-intelligence and safe-experimentation arguments — [[concept-collective-intelligence-ai]], [[action-create-experimentation-space]], and the ethics open question [[question-ethical-protocols-mission-critical]]
- Attributed quotes: [[quote-shared-understanding]], [[quote-hope-for-the-best]], [[quote-common-language]], [[quote-human-story]]