Glossary Collection of relevant technical terms Table of technical terms Terms introduced in the playbook Term Explanation Also used in Automation bias Accepting a machine's suggestion without independently checking it AI Detector Software claiming to identify machine-written text. What it actually measures is predictability. 1.5 AI Pedagogical Competency Framework Structure that sorts AI-related teaching competencies into dimensions & levels and links them to outcomes & assessments. Bias Slants inherited from the material a system learned from and not reliably reduced by making the system bigger 1.4, 1.5 Certification pathway The route through which competences are validated and formally recognised, here as a dual pathway.  Cognitive offloading Handing mental work to something outside your head. It is useful when knowledge is in place, and damaging when it is still forming. 1.4 Competence What a teacher knows, can do & is willing to do, described so that it can be taught and checked.  Deskilling The slow erosion of professional exptertise when a tool absorbs the work through which that expertise is maintained. 1.4 Digital Badge The shareable digital form of a certificate or micro-credential.  Dimension One of the broad areas the framework is divided into, each grouping competences that belong together in practice.  False positive A correct, honest piece of work wrongly flagged. The error that damages students 1.4, 1.5 Guardrails Limits built into a system so that it supports thinking instead of replacing it. 1.4, 1.5 Hallucination Fluent, confident, false. Not a defect awaiting a patch but a consequence of how the systems generate text 1.4, 1.5 Integration roadmap The step-by-step route a teacher or an institution takes from first contact with AI to settled practice.    Knowledge-action gap The measured distance between knowing about AI and teaching differently because of it. 1.4, 1.5 Micro-credential  A smaller certification covering one focused set of competences instead of a whole pathway. Schema Person's organised knowledge 1.4 Teaching about AI Making AI itself the subject of the lesson, so that students understand how it works & where it fails. Teaching with AI Using AI as a tool for your own teaching work, from planning to feedback.