ai-claim-checker

To fact check AI-generated explanations, turn the text into testable claims by identifying a potentially wrong statement, proposing a concrete verification method, and naming a domain-appropriate non-AI source to consult. This enforces epistemic vigilance and critical thinking.

Evaluating AI output for source accuracy requires extracting explicit claims and asking the learner to name one appropriate independent source to verify them. This source evaluation method treats AI answers as claims requiring scrutiny rather than absolute authority.

Yes, this critical thinking exercise applies to any subject topic after a substantive AI response. It supports optional subject-area and developmental-band calibration to ensure the verification method and source are domain-appropriate for the learner.

To start a claim check, provide an input ai_generated_content string and a topic string. The system then elicits three verification outputs: a potentially wrong claim, a verification method, and a domain-appropriate source for independent fact checking.

You should verify AI answers to build AI literacy and epistemic vigilance. Treating AI explanations as claims requiring scrutiny prevents absorbing false information by forcing a quick evaluation of what could be wrong and how to check it independently.