Industries

AI governance requirements differ by sector. These guides translate the major frameworks into industry-specific context — covering the regulatory environments, risk profiles, and compliance obligations that generic governance guidance doesn't address.

Clinical Validation of Healthcare AI: Evidence Standards Across Jurisdictions

A regulatory clearance says an AI met an evidence standard at a point in time. It does not say the AI works in your hospital, with your patients, in your workflow. Independent validation in your deployment environment is a separate obligation.

By AIPMO.co

/ 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.co

/ 6 Apr 2026 · 9 min read

Algorithmic Bias in Clinical AI: The Health Equity Risk

Over half of published clinical AI models use data from the US or China. Skin cancer AI performs worse for darker-skinned patients. AI scribes misrepresent Black and non-English-speaking patients. The bias is documented. The governance is law.

By AIPMO.co

/ 6 Apr 2026 · 9 min read

AI Governance in Healthcare: What Project Managers Need to Know

Clinical AI that influences diagnosis, treatment, or care decisions is a medical device in every major jurisdiction. The NHS Anima hallucination, California's SB 1120, Lokken v. UnitedHealth — 2025 defined what governance failures look like.

By AIPMO.co

/ 6 Apr 2026 · 9 min read

AI in Insurance Underwriting: Governance for Pricing and Risk Classification

External consumer data creates proxy discrimination even when protected characteristics are excluded from the model. ZIP codes encode segregation. Credit scores encode wealth gaps. The FCA found UK insurers using datasets correlating with race. Testing is required.

By AIPMO.co

/ 6 Apr 2026 · 10 min read

GenAI in Insurance: Governance for the Next Generation

Traditional insurance AI governance doesn't transfer to large language models. GenAI outputs are probabilistic, not deterministic. Inputs can't be audited like gradient-boosted features. EIOPA identified three specific governance gaps. Here's how to close them.

By AIPMO.co

/ 6 Apr 2026 · 11 min read

AI in Insurance Claims: Governance for Automation and Denial

Lokken v. UnitedHealth granted full discovery into insurer AI use. California SB 1120 banned solely algorithmic coverage denial. Courts are treating AI denial without genuine human review as bad faith. The governance implications apply to every line of business.

By AIPMO.co

/ 6 Apr 2026 · 11 min read

Algorithmic Bias in Insurance AI: The Discrimination Problem

A 2025 NAIC survey found one in three health insurers still don't regularly test their AI for bias. The EU AI Act makes bias testing a legal requirement. Colorado makes discriminatory outcomes a prohibitable offense regardless of intent. Time is short.

By AIPMO.co

/ 6 Apr 2026 · 10 min read

AI Governance in Insurance: What Project Managers Need to Know

The NAIC Model Bulletin is now law in ~25 states. EU AI Act Annex III designates life and health pricing AI as high-risk with an August 2026 deadline. Lokken opened AI governance to litigation discovery. The window for proactive compliance is now.

By AIPMO.co

/ 6 Apr 2026 · 13 min read