Editorial roadmap

Insights on AI risk and responsible decisions

The publishing architecture is MDX-ready. These concepts remain visibly labelled as drafts until full articles are written and reviewed.

I-01Draft planned

From Enterprise Risk to AI Risk

What established risk disciplines contribute to responsible AI decisions.

I-02Draft planned

Human Oversight Is More Than a Checkbox

Designing oversight with authority, competence, time and escalation routes.

I-03Draft planned

Understanding the NIST AI Risk Management Framework

A practitioner’s guide to GOVERN, MAP, MEASURE and MANAGE.

I-04Draft planned

What Safety-Critical Industries Can Teach AI Governance

Learning from infrastructure, engineering and health-and-safety controls.

I-05Draft planned

AI Risk Registers: What Should Organisations Record?

A practical view of traceability, ownership, controls and residual risk.

I-06Draft planned

Third-Party AI Risk Beyond the Questionnaire

Testing evidence across data, models, security, continuity and incidents.