ai-expertise-interrogation-designer

What problem does it solve?

This Skill helps teachers run an AI literacy activity where students use their genuine domain expertise to identify AI distortions, omissions, and overconfidence—producing more durable skepticism than generic warnings.

Core Features & Use Cases

• Expertise activation before AI: students document what they know first, creating a direct reference point to compare against AI output.
• Calibrated interrogation questions: surface checks (factual accuracy) and deep checks (nuance, complexity, cultural specificity).
• Distortion annotation + taxonomy: a structured way to classify what went wrong (distortion types rather than one-off errors) and synthesize patterns across the class.
• Use case: assign students who have real expertise (e.g., sport, music traditions, local geography, subject knowledge) to interrogate an AI tool about their domain and generate evidence of systematic AI limitations.

Quick Start

Use the ai-expertise-interrogation-designer skill to generate a full Funhouse Mirror activity by providing student_expertise_domain and student_level.