# AI Literacy Is Relational Not Just Technical AI literacy includes managing trust, dependence, and repair with the tool — not just prompting skill — so being fluent means knowing when to rely on it, when to doubt it, and how to recover when it misleads you. ## Scope & conditions - Holds wherever people use AI as an ongoing working relationship rather than a one-shot utility: the recurring questions are about trust calibration and dependence, not syntax. - "Relational" means the literacy covers the human side — over-trust, learned helplessness, and how you repair after a confident wrong answer — alongside the technical side of writing good prompts. - Less relevant for purely transactional, low-stakes uses where a wrong answer costs nothing and no dependence forms. ## Links - [[3. Resources/Permanent Notes/Information Capture Is Not Formation]] — because extends; capturing AI output isn't the same as being formed by it, and relational literacy is what keeps reliance from hollowing out judgment - [[3. Resources/Permanent Notes/Heavy AI Use Removes the Fatigue Signal That Tells You to Stop]] — because evidence-for; an unmanaged relationship with the tool erodes the human cues (fatigue, doubt) that relational literacy has to consciously restore - [[3. Resources/Permanent Notes/When Answers Are Cheap Understanding Becomes the Scarce Good]] — because applies-in; when answers are free, the scarce skill is the relational judgment of which answer to trust and why <!-- atomicity: 1 idea ✓ --> - [[3. Resources/MOCs/AI & the Future of Knowledge Work MOC]] — applies-in: the MOC lists this note under PKM & formation.