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› Grades 9–12 · ages 14–18 · Policy debate

Should AI development be regulated?

“Governments should require licenses and safety testing before frontier AI models are released.”

A policy debate on frontier-model regulation that takes both catastrophic and everyday risk seriously, and then asks whether a license regime would reduce either. Students encounter alignment, red-teaming, and regulatory capture, and must weigh a plan against the world without it.

60 minutes · one class period · free to photocopy

Students will be able to

  • Distinguish present harms (bias, deepfakes, labor) from speculative catastrophic risk and explain why both appear in the debate.
  • Build or attack a licensing plan with attention to who administers it, what it tests, and who it advantages.
  • Weigh a policy against the counterfactual, not against perfection.

Vocabulary

Agenda · 60 minutes

MinutesSegmentWhat happens
0–6Warm-upWhat do we license, and why? Does a model belong?
6–18Background + risk mapRead the sheet. Teams sort risks into present / near / speculative, and note which a license would actually address.
18–28Case constructionAffirmative plan: who licenses, what is tested, threshold, penalties, open-weights treatment. Negative: attacks + optional counter-plan (liability, disclosure, compute reporting).
28–52Policy debateAff constructive 3 · Neg cross-ex 2 · Neg constructive 3 · Aff cross-ex 2 · Neg rebuttal 2 · Aff rebuttal 2. Judges weigh plan vs. counterfactual.
52–60Written positionExit ticket: policy, the risk it addresses, the risk it doesn't.

Affirmative — license before release

We license drugs, planes, and bridges because the downside is public and irreversible; frontier models qualify.

  • The developers themselves say they can't fully predict what their models will do. That's the definition of a case for testing.
  • Red-teaming by an independent body finds what internal teams are paid not to find.
  • Present harms — deepfakes, bias at scale — are already here; a license regime creates a body that can act.
  • 'Someone else will build it' has never excused a factory from safety rules.

Negative — the plan entrenches the powerful and doesn't test for what matters

No test certifies alignment; a license regime mostly certifies who can afford lawyers — and pushes the rest offshore or underground.

  • The companies lobbying for licensing are the ones who'd pass. That's a moat, not safety.
  • Open-weights models can't be recalled; the rule catches responsible labs and misses the rest.
  • Catastrophic risk is speculative; the regime spends its energy there while present harms go unaddressed.
  • Counter-plan: strict liability for harms, mandatory disclosure, and compute reporting — accountability without gatekeeping.

Discussion questions

  1. 1.openingWhat makes something worth licensing? Apply your test to a model.
  2. 2.coreCan a pre-release test certify safety if alignment is unsolved? What would it certify instead?
  3. 3.coreIf the biggest firms support the rule, is that evidence for it or against it?
  4. 4.coreHow does your plan treat a model whose weights are already public?
  5. 5.closingCompare your plan to no plan — not to a perfect one. Is the world better?

How policy debate runs

The proposition is a concrete policy ("Our school should…", "The law should…"). Affirmative proposes a plan and defends it; Negative attacks the plan and may offer a counter-plan. Constructive speeches (3 min), cross-examination (2 min), rebuttals (2 min). Judges score on plan, evidence, and clash.

In grades 9–12

Stakes are real: college, jobs, creative work, civil rights. Students can steelman, cross-examine, and write policy.

Preview the full pack

Cover, teacher guide, and every student handout. Print teacher pages once and student pages one per learner.

On a phone, open the PDF in a new tab — in-page previews are unreliable in mobile Safari.

Standards

  • CCSS ELA SL.9-10.1 / SL.11-12.1
  • CCSS ELA W.9-10.1 / W.11-12.1 (argument with counterclaims)
  • C3 Framework D2.Civ.13 / D4.7 (policy analysis, taking informed action)
  • CSTA 3A-IC-24 / 3B-IC-25 (ethics and impacts of computing)

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