A model’s output needs checks appropriate to the task.
Mechanism knowledge does not establish the truth of a particular answer.
Sources: IBM Technology, 3Blue1Brown · Grant Sanderson · Reviewed 2026-10-15

Thinking about how organisations perform in an AI-enabled world
AyEye · State of play
Understand models, evidence and the systems around them. Choose a route from a first explanation to team practice or organisational change.
Reviewed 15 October 2026 · Editorial edition 1.0 · Manually maintained
Stable concepts · A knowledge map
Select a concept to read its evidence and limits. Lines suggest learning connections, not causality.
Established describes a bounded principle, not certainty about every system. Emerging practice needs contextual review. Uncertain outcomes need testing. This is an editorial selection, not exhaustive coverage.
Mechanism knowledge does not establish the truth of a particular answer.
Sources: IBM Technology, 3Blue1Brown · Grant Sanderson · Reviewed 2026-10-15
A past study or toy simulation is not a benchmark of today’s systems.
Sources: Harvard Business School AI Institute · Reviewed 2026-10-15
Local data and access controls still need review.
Sources: NIST, Information Commissioner’s Office · UK · Reviewed 2026-10-15
Human review is useful only when it has authority, time and relevant capability.
Sources: NIST · Reviewed 2026-10-15
Transfer across teams and versions remains a question to investigate.
Sources: HM Treasury · Evaluation Task Force · Reviewed 2026-10-15
Usage and output volume alone do not establish benefit.
Sources: HM Treasury · Evaluation Task Force · Reviewed 2026-10-15
Explore the workforce maturity wheel → · Find related ideas in the shared topic graph →
Learning tags connect to the nine workforce strands where relevant. They are discovery links, not a maturity assessment.