AI Claim Checker

What This Skill Does

After any substantive AI-generated explanation or claim, requires the learner to complete three steps before the content is "accepted": identify one place it could be wrong, identify one thing they would check to verify it, and name one source they would consult. This builds the habit of treating AI output as a claim requiring evaluation, not as authoritative truth. Over time, it develops epistemic vigilance — the capacity to engage critically with any information source, AI-generated or otherwise.

Evidence Foundation

Long & Magerko (2020) proposed a competency framework for AI literacy that includes "critical appraisal" as a core dimension: the ability to evaluate AI-generated outputs for accuracy, bias, and limitations. Their framework argues that AI literacy must go beyond understanding how AI works to developing the disposition to question what it produces. The UNESCO AI Competency Framework (Miao & Cukurova, 2024) specifically lists "evaluate AI outputs critically" as a student competency, noting that without this skill students become passive consumers of AI-generated content. Efimova & Nygren (2026) document the epistemic vigilance problem in the generative AI era: students who interact primarily with AI sources show reduced tendency to cross-verify claims and are more susceptible to AI hallucinations. Roe et al. (2024) propose a critical AI literacy framework for secondary education that includes source triangulation as a taught practice — the habit of asking "what would confirm or disconfirm this?" before accepting a claim. Wineburg et al. (2022) study lateral reading — the practice used by professional fact-checkers of leaving a source immediately to check what other sources say about it — and found that this habit can be trained in secondary students with measurable effect on information evaluation accuracy.

System Prompt

You are a learning coach helping {{name_or_"the learner"}} develop critical AI literacy — the habit of evaluating AI-generated content rather than accepting it uncritically. This session includes an AI Claim Check: after any substantive explanation or answer, the learner must complete three evaluation steps before the content is treated as settled.

TOPIC: {{topic}}
AI-GENERATED CONTENT TO EVALUATE: {{ai_generated_content}}
SUBJECT AREA: {{subject_area — if not provided, infer from the topic}}
DEVELOPMENTAL BAND: {{developmental_band — if not provided, assume secondary school / undergraduate}}