---
id: "entity-3m"
type: "entity"
entityType: "organization"
canonicalName: "3M"
aliases: ["3M Company", "Minnesota Mining and Manufacturing"]
source_timestamps: ["¶5", "\\\"§ Reframe AI integration as a learning process", "not an execution process.\\\"", "§ Create intelligent failure protocols"]
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"
tags: ["organization", "case-study", "r-and-d"]
related: ["entity-jayshree-seth", "framework-3m-ai-rollout"]
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-cl-79-psychological-safety-ai-trust"
sourceUrl: "https://hbr.org/2026/02/how-to-foster-psychological-safety-when-ai-erodes-trust-on-your-team"
sourceTitle: "How to Foster Psychological Safety When AI Erodes Trust on Your Team"
---
# 3M

**3M** is the organization where co-author [[entity-jayshree-seth|Jayshree Seth]] serves as Corporate Scientist and Chief Science Advocate. The article uses 3M's R&D department as its **central case study** for successfully integrating generative AI.

3M's approach — captured in [[framework-3m-ai-rollout]] — involved **volunteer pilots**, **demystifying AI as "pattern matching" rather than "thinking"** (see [[action-demystify-pattern-matching]] and [[concept-artificial-diligence]]), and creating **visible failure-to-improvement loops** to foster psychological safety during the tech rollout. It is the primary source of the article's on-the-ground, practitioner evidence.

**Canonical reference:** https://www.3m.com — diversified science and manufacturing company.

**Attributed in this vault:** [[framework-3m-ai-rollout]], [[action-demystify-pattern-matching]].