---
id: "entity-larry-downes"
type: "entity"
entityType: "person"
canonicalName: "Larry Downes"
aliases: []
source_timestamps: ["¶2"]
tags: ["author", "technology-policy", "digital-transformation"]
related: ["entity-blair-levin", "framework-trustworthy-ai-triad"]
sources: ["governance"]
isSpeakerEntity: true
---
## Segment 7 — governance

## Article 88 — a088

# Larry Downes

**Profile.** Larry Downes is known for work on technology policy, digital transformation, and the legal and economic effects of software systems (per the enrichment overlay). No verified canonical institutional URL was supplied in the enrichment results.

**Role in the source.** Co-author of the HBR article 'Can AI Agents Be Trusted?' (May 2025), jointly authored with [[entity-blair-levin]]; all vault quotes are attributed to both authors.

**Attributed contributions (as inline links).** Co-author of the thesis and framework [[framework-trustworthy-ai-triad]]; claims [[claim-micromanagement-defeats-purpose]], [[claim-ad-model-misaligns-ai]], [[claim-ai-vulnerable-to-hacking]], and [[claim-fiduciary-legal-precedent]]; quotes [[quote-agentic-ai-definition]], [[quote-micromanagement-paradox]], and [[quote-ai-fiduciary-baseline]]; and the contrarian insights [[contrarian-supervision-defeats-ai]] and [[contrarian-ads-are-the-real-ai-threat]].