AI literacy builds resistance through structured exposure
Claim
Students are more likely to develop discernment about AI when they encounter it through structured, monitored, reflective activities than when schools rely only on abstinence, bans, or warnings.
Stance
Supported by the source article as an AI literacy and school policy claim.
Evidence
- What “Just Say No” Got Wrong About AI argues that abstinence-only AI policy repeats the failure of “Just Say No” drug education because students need structured information, guided exposure, and opportunities to build discernment.
- TEACHER VOICE: AI is an addictive drug that must be researched, studied and confined describes a character-bot interrogation activity where students engaged AI critically and then became less eager to consume the tool uncritically.
Practical implication
Schools should design bounded AI literacy activities that let students investigate effects, risks, and limits under teacher guidance instead of relying only on prohibition, detection, or generic warnings.
Related big ideas
- AI simulations need clear boundaries for learning
- AI literacy requires different kinds of AI interaction
- Schools should start with learning values before choosing AI tools