AIPMO - AIPMO (Page 4)

Model Cards and Datasheets: Documentation That Matters

AI projects need documentation that doesn't exist in conventional IT: model cards, datasheets, and system cards. Under the EU AI Act, technical documentation must exist before deployment — and be retained for 10 years. Here's what each document must contain and why.

By AIPMO

/ 29 Jan 2026 · 17 min read

AI Risk Registers: Beyond Traditional Risk Management

AI risk registers use the same mechanics as conventional ones — identify, assess, mitigate, monitor. What changes is the taxonomy of risks, how likelihood behaves at scale, and the fact that the register doesn't close at deployment. Here's what needs to extend.

By AIPMO

/ 29 Jan 2026 · 17 min read

The AI Project Charter: What's Different

The AI project charter covers the same fundamentals as any charter — plus questions that conventional projects never ask: Why AI rather than an alternative? Who might be harmed? What decisions will never be automated? What data is this project permitted to use?

By AIPMO

/ 29 Jan 2026 · 13 min read

AI Governance for U.S. Projects: What Actually Applies?

The US has no comprehensive federal AI law. What applies to your project depends on your sector, your use cases, and which states your users are in. Here's how to navigate a landscape built from executive orders, voluntary standards, existing law, and accelerating state regulation.

By AIPMO

/ 29 Jan 2026 · 15 min read

What the EU AI Act Means for Your Project Timeline

The EU AI Act's August 2026 general application date is a statutory deadline, not a target. Here's what high-risk AI systems must actually deliver, how the conformity assessment pathways work, what the transitional provisions mean for systems already in service, and where the penalties sit.

By AIPMO

/ 28 Jan 2026 · 16 min read

AI Risk Classification: How to Use the EU AI Act Framework for Project Scoping

The EU AI Act's four-tier risk framework is a project scoping tool, not just a compliance checklist. This article covers all four tiers, the Article 6(3) downward self-classification mechanism, the profiling override that closes the most common gap, and how classification drives planning decisions.

By AIPMO

/ 28 Jan 2026 · 12 min read

OECD AI Principles: What They Mean for Your Project

The OECD AI Principles are the source document behind most AI governance frameworks — including the EU AI Act, NIST AI RMF, and ISO 42001. Understanding the five principles, including the 2024 updates, helps PMs understand why downstream requirements are what they are.

By AIPMO

/ 28 Jan 2026 · 10 min read

ISO 42001 for Project Managers

ISO 42001 is a certifiable AI management system standard — not a risk framework or a checklist. Its AI-specific requirements in Clauses 6 and 8 generate concrete PM deliverables: risk assessments, impact assessments, lifecycle controls, and supply chain governance.

By AIPMO

/ 28 Jan 2026 · 25 min read

The PM's Guide to NIST AI RMF

The NIST AI RMF isn't a checklist — it's 72 subcategories across four functions that you're meant to select from based on your system's risk level. Here's what each function actually requires a project team to do, and where most AI projects currently have gaps.

By AIPMO

/ 28 Jan 2026 · 13 min read

AI Impact Assessments: Running Them Like a PM

An AI impact assessment asks who could be harmed by this system — not just what could go wrong with it. Those are different questions. Here's what the frameworks actually require, why the PM needs to own it, and how to run one that produces decisions rather than paperwork.

By AIPMO

/ 28 Jan 2026 · 14 min read