THE TOPIC COLLECTION
AI Governance
Selected analysis and explanations from the wider Industry AI Decision collection.
CONTINUE EXPLORING
Read into the topic.
Follow the collection, then use a structured reading path to connect the ideas.
Customer-Controlled AI Safety: Why Data Custody Is Becoming an Enterprise Control Plane
Anthropic’s Enterprise Frontier Safeguards moves safety activity data into customer-controlled cloud storage. The strategic challenge is turning custody, keys, evidence, automated safeguards,…
How to Make Model Explanations Faithful, Stable, Understandable, and Actionable
Make industrial AI explanations useful with checks for faithfulness, stability, user understanding, approved actions, and records linking evidence to outcomes.
AI Model Continuity Architecture: Why Multimodel Access Is Not a Recovery Plan
The OpenAI-Cursor dispute shows why access to several models is not the same as operational continuity. Enterprises need a governed, tested recovery…
AI Agent Evaluation Security: Why the Test Harness Is Now a Production Boundary
The Hugging Face incident exposed a strategic blind spot: advanced AI evaluations can create more operational privilege than ordinary production applications. Leaders…
Physical AI Execution Contract: The Missing Layer in the Model Hardware Standard
A common interface may make machines easier for AI agents to use. Enterprise value will depend on the execution contract that determines…
How to Prevent an Industrial Agent From Optimizing the Wrong Shortcut
Understand reward hacking in industrial AI and how multi-objective design, hard constraints, scenario testing, and human authority help expose unwanted shortcuts.
Industry-Specific AI Agents: Why the Next Enterprise Moat Is Executable Domain Knowledge
Google’s legal and financial-services launches point to a broader enterprise shift: advantage will come less from model access than from converting institutional…
Privacy-Preserving Enterprise AI: Why Zero Data Retention Is Only the First Control
OpenAI’s Private Safety Processing preview reframes enterprise AI privacy: the goal is not simply deleting data, but dividing detection, evidence, and accountability…
Why Is Agentic AI Still Stuck Between Pilot and Production?
Assess agentic AI production readiness across business outcomes, data fitness, authority, controls, ownership, and observability with tested recovery paths.
What Makes an AI Agent Trustworthy in Manufacturing?
Assess manufacturing AI agents through accuracy, explainability, traceability, guardrails, and human control, with questions for reviewing recommendations.