Articles
Trust & Governance
Sources, accountability, review gates, audit trails, policy and access boundaries — what makes AI safe to use in regulated aviation work.
9 articles
- AI Hallucinations and EASA Rules: How to Check an AnswerCan you trust an AI answer on EASA rules? What the studies measured, and a five-step check of any AI answer against the rule text, worked on 145.A.40.
11 min - EASA AI Levels: Assistance vs Decision-MakingEASA AI levels explained: information support, human decisions and automation, plus the draft RMT.0742 approach to checking outputs or qualifying tools.
4 min - AI Audit Trails for Professional Aviation AIProfessional aviation AI needs audit trails showing sources, outputs, changes, review status and human approval responsibility.
7 min - Why Aviation AI Must Cite Approved SourcesRegulation, AMC, GM and your approved MOE, CAME or OM carry different weight. Aviation AI must show which it used, its revision status and what it assumed.
9 min - What an Aviation AI Policy Should DefineAn aviation AI policy should define allowed use, prohibited use, data handling, review, records, approvals and accountability.
7 min - Aviation AI Needs Role-Based Access ControlsAviation AI must respect role-based access, output limits and human approval across safety, compliance, CAMO, Part-145 and operations.
8 min - Where Aviation AI Stops for Human ReviewAviation AI should hand over drafts that show sources, gaps and assumptions, then stop before approval, release or risk acceptance. How the gate works.
9 min - What AI Should Know Before an Aviation DraftAuthority, organisation type, source revision, evidence, your role and the output. The context AI needs before it drafts a finding, procedure or matrix.
6 min - What an Aviation AI Assistant Must RefuseAviation AI earns trust by refusing unsafe requests, showing uncertainty, citing sources and keeping accountable humans in control.
8 min