---
id: "entity-amy-c-edmondson"
type: "entity"
entityType: "person"
canonicalName: "Amy C. Edmondson"
aliases: ["Amy Edmondson", "Amy C. Edmondson"]
role: "Co-author; Novartis Professor of Leadership and Management, Harvard Business School"
source_timestamps: ["¶5", "§ Create intelligent failure protocols", "§ Author Bios"]
source_url: "https://hbr.org/2026/02/how-to-foster-psychological-safety-when-ai-erodes-trust-on-your-team"
source_title: "How to Foster Psychological Safety When AI Erodes Trust on Your Team"
canonical_reference: "https://www.hbs.edu/faculty/Pages/profile.aspx?facId=6459"
tags: ["author", "academic", "psychological-safety"]
related: ["entity-right-kind-of-wrong", "prereq-psychological-safety"]
speakers: ["Amy C. Edmondson"]
sources: ["adoption", "reskilling", "tail1"]
isSpeakerEntity: true
---
## Segment 1 — tail1

# Amy C. Edmondson

**Profile.** Harvard Business School professor who **popularized the concept of psychological safety**.

**Role in this source.** Her scholarship is the basis for the *candor* pillar of an [[concept-empowering-culture|empowering culture]] — the critical enabling condition for structured empowerment.

**Attributed contribution to this vault:** the conceptual foundation for [[concept-psychological-safety]].

> **Enrichment.** Canonical reference is her HBS faculty page and psychological-safety scholarship; the provided research supports the concept strongly (it sits in a well-established literature) but did not surface a direct page.

## Segment 9 — adoption

## Article 79 — a079

# Amy C. Edmondson

**Profile.** Amy C. Edmondson is a co-author of the source article and the **Novartis Professor of Leadership and Management at Harvard Business School.** She is the foundational scholar of **[[prereq-psychological-safety-d79|psychological safety]]** and team learning; her 1999 paper defined the construct and Google's Project Aristotle later found it the top predictor of team effectiveness.

**Role in the source.** Edmondson supplies the **theoretical backbone.** Her frameworks on failure and team dynamics are what let the article analyze how AI disrupts human teams — most directly the intelligent-vs-basic failure typology from her book [[entity-right-kind-of-wrong|*Right Kind of Wrong*]].

**Attributed contributions in this vault:**
- [[prereq-psychological-safety-d79]] — the construct the entire thesis rests on.
- [[concept-intelligent-ai-failures]] / [[concept-basic-ai-failures]] — AI-adapted from her failure science.
- The [[framework-ai-integration-principles|four-pillar integration framework]] applies her psychological-safety principles.
- Co-author of all three quotes and claims.

**Canonical reference:** https://www.hbs.edu/faculty/Pages/profile.aspx?facId=6459

## Related across articles
- [[entity-amy-edmondson]]

## Segment 10 — reskilling

## Article 46 — a046

# Amy C. Edmondson

**Amy C. Edmondson** is a Harvard Business School professor known for foundational research on **psychological safety, team learning, and 'intelligent failure.'** She is a co-author of this source, *The Perils of Using AI to Replace Entry-Level Jobs*.

**Role in the source:** co-author and one of the two attributed voices behind every claim, framework, and quote in this vault.

**Attributed contributions to this vault:**
- Her published research is the direct origin of [[concept-intelligent-failures]] — the pillar concept behind the 'develop people' redesign step.
- Co-author of the source thesis and both frameworks: [[framework-reasons-retain-entry-level]] and [[framework-redesign-entry-level]].
- Co-attributed on all four quotes: [[quote-leadership-naive]], [[quote-intellectual-sparring]], [[quote-microwaving-ideas]], and [[quote-predict-future]].

**Enrichment context:** her scholarship on psychological safety and intelligent failure argues that learning organizations must design for learning — enabling small, well-designed failures in pursuit of new knowledge and distinguishing them from careless errors — which directly informs the vault's argument that entry-level roles must remain safe spaces for low-stakes experimentation.