AI Output Auditor: Systematic Evaluation of Hallucinations, Arguments Structure & Bias in AI-Generated Text
Issued by
Northern State University
This course teaches advanced competency in critically evaluating AI‑generated text through rigorous rhetorical and analytical frameworks. Learners move beyond basic AI literacy to become skilled auditors who treat AI outputs not as neutral information, but as rhetorical performances. Through hands‑on analysis and theoretical grounding, participants learn to interrogate AI responses with the same precision used in evaluating human arguments. Expected time 3 hours.
- Type Learning
- Level Intermediate
- Time Hours
- Cost Free
Skills
Earning Criteria
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AI Hallucination Detection: Identifying fabricated facts, flawed logic, and unsupported claims.
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AI Argument Structure Analysis: Mapping and evaluating the internal logic of AI responses using classical and contemporary rhetorical models.
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AI Bias & Framing Evaluation: Recognizing ideological, cultural, and linguistic biases embedded in AI‑generated text.