---
id: "entity-jayshree-seth"
type: "entity"
entityType: "person"
canonicalName: "Jayshree Seth"
aliases: ["Jayshree Seth"]
role: "Co-author; Corporate Scientist and Chief Science Advocate, 3M"
source_timestamps: ["¶5", "§ 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.3m.com/3M/en_US/careers-us/jayshree-seth/"
tags: ["author", "practitioner", "science-advocate"]
related: ["entity-3m"]
speakers: ["Jayshree Seth"]
sources: ["adoption"]
isSpeakerEntity: true
---
## Segment 9 — adoption

## Article 79 — a079

# Jayshree Seth

**Profile.** Jayshree Seth is a co-author of the source article and a **Corporate Scientist and the first-ever Chief Science Advocate at [[entity-3m|3M]]**. She holds a **PhD in Chemical Engineering and 81 patents.**

**Role in the source.** Seth supplies the **practitioner / on-the-ground half** of the article. She is responsible for leading the development and integration of generative-AI use cases for R&D at 3M, and her team's rollout is the piece's flagship case study. Where co-author [[entity-amy-c-edmondson|Amy Edmondson]] provides the psychological-safety theory, Seth provides the field evidence that it works.

**Attributed contributions in this vault:**
- [[framework-3m-ai-rollout]] — the phased failure-to-improvement loop her team ran.
- [[action-demystify-pattern-matching]] — the 3M practice of explaining AI as pattern matching.
- Co-author of the quotes [[quote-ai-dysfunction-patterns]], [[quote-black-box-sense-making]], [[quote-artificial-diligence]] and all three claims.

**Canonical reference:** https://www.3m.com/3M/en_US/careers-us/jayshree-seth/