Sector - AIPMO

Law Enforcement and Criminal Justice AI: The Highest-Stakes Deployment

Facial recognition has put innocent people in prison. Risk tools score individuals on group statistics. Predictive policing amplifies historical bias at scale. The stakes have no equivalent in government AI. Neither do the governance obligations.

By AIPMO

/ 7 Apr 2026 · 10 min read

Due Process and Automated Government Decisions

Robodebt. SyRI. MiDAS. Three countries, three systems, one failure: automated consequences without human review. When government AI affects citizens' rights, due process is not a feature to add later. It is the acceptance criterion.

By AIPMO

/ 7 Apr 2026 · 10 min read

Procuring AI for Government: What the Contract Needs to Include

Procuring AI from a vendor doesn't transfer accountability. The agency still owns the due process obligation, the legal liability, and the reputational damage. Here's what every government AI contract actually needs to include.

By AIPMO

/ 7 Apr 2026 · 9 min read

AI Governance in Government: What Project Managers Need to Know

The same governance failure played out in Australia, the Netherlands, the US, and across democratic governments worldwide. The pattern is identical. The PM lesson is too. Here's what responsible government AI deployment actually requires.

By AIPMO

/ 7 Apr 2026 · 12 min read

Model Risk Management and SR 11-7: The Framework That Already Governs AI

SR 11-7 was written for statistical models. Federal banking examiners are using it to evaluate machine learning in credit, trading, and risk management today. Here's how to adapt model risk governance for the AI era without rebuilding from scratch.

By AIPMO

/ 7 Apr 2026 · 9 min read

GenAI in Financial Services: New Capabilities, Familiar Governance Risks

FINRA's 2026 Annual Report documented AI hallucinations in compliance workflows and unauthorized use of non-compliant tools. Generative AI introduces failure modes that traditional model risk management wasn't designed to catch. Here's the gap analysis.

By AIPMO

/ 7 Apr 2026 · 9 min read

Fair Lending and Credit AI: When the Algorithm Discriminates

The CFPB's adverse action notice requirement doesn't care whether a denial came from a human or a gradient-boosted tree. Proxy discrimination in credit AI is as illegal as direct discrimination. Here's the governance framework that keeps models compliant.

By AIPMO

/ 7 Apr 2026 · 9 min read

Adverse Action Notices and Explainability in Financial AI

An AI that can't explain why it denied credit doesn't meet Regulation B. The CFPB's "specific reasons" requirement applies regardless of model complexity. Explainability is not a model architecture preference — it's a legal obligation.

By AIPMO

/ 7 Apr 2026 · 9 min read

AI Governance in Financial Services: What Project Managers Need to Know

SR 11-7, the EU AI Act, FINRA's 2026 GenAI guidance — financial services has the most mature AI governance regulatory stack of any industry. Here's what it means for PMs managing AI in banking, lending, and investment management.

By AIPMO

/ 7 Apr 2026 · 10 min read

Coverage Denial AI: When Algorithms Ration Care

Lokken v. UnitedHealth allowed class claims to proceed against an AI denying post-acute care to elderly patients. California banned solely algorithmic coverage denial. When AI rations care, the governance obligations are clinical, not administrative.

By AIPMO

/ 6 Apr 2026 · 11 min read

Clinical Validation of Healthcare AI: Evidence Standards Across Jurisdictions

By AIPMO

/ 6 Apr 2026 · 10 min read

Ambient AI and Consent in Healthcare: What the NHS Anima Case Changed

In July 2025, NHS Annie hallucinated diabetes and heart disease for a healthy patient. In December 2025, Sharp Healthcare faced a consent lawsuit over AI scribe recording. Three governance failures. One article on what they require you to change.

By AIPMO

/ 6 Apr 2026 · 9 min read