---
id: "question-ethical-judgment-scale"
type: "open-question"
source_timestamps: ["§ The Rapid Growth of a New Discipline", "§ Redefining Ownership"]
tags: ["ethics", "governance"]
related: ["concept-lob-ai-ownership", "action-shift-ownership-to-lob"]
resolutionPath: "Frameworks detailing the interaction between centralized AI Governance/Compliance boards and decentralized LOB Agent Managers."
sources: ["agentic"]
sourceVaultSlug: "hbr-seg-agentic"
originDay: 6
articleStem: "hbr-sig-58-agent-managers"
sourceUrl: "https://hbr.org/2026/02/to-thrive-in-the-ai-era-companies-need-agent-managers"
sourceTitle: "To Thrive in the AI Era, Companies Need Agent Managers"
---
# How is ethical judgment standardized across decentralized LOB agent managers?

## Open Question — Standardizing ethical judgment across decentralized LOB owners

The article asserts agent managers need a blend of business insight, AI fluency, and **'ethical judgment,'** while simultaneously advocating **decentralizing AI ownership to Lines of Business** ([[concept-lob-ai-ownership]], [[action-shift-ownership-to-lob]]). This leaves open: **how does a company maintain a unified ethical standard and compliance posture when individual business units independently tune agent tone and logic?**

**Resolution path:** Frameworks detailing the interaction between **centralized AI Governance/Compliance boards** and **decentralized LOB Agent Managers**.

**Enrichment context:** Responsible-AI frameworks (**NIST AI RMF, OECD AI Principles, EU AI Act**) push for central ethics/risk boards, standardized policies, pre-deployment certification, and cross-unit auditing. The likely answer: strong LOB ownership of *performance* must be complemented by **formal, centralized Responsible-AI governance** of *policy* — the same hybrid resolution seen in [[concept-lob-ai-ownership]].
