Classroom-ready: 8 Activities to Teach Teens AI Safety Skills
Eight practical, ready-to-run classroom activities that teach teens how to spot AI errors, protect privacy, evaluate sources, use AI responsibly, and set guardrails.
Eight practical, ready-to-run classroom activities that teach teens how to spot AI errors, protect privacy, evaluate sources, use AI responsibly, and set guardrails.
Step-by-step playbook to run a lightweight internal AI red team: scope, prioritized test cases, ready-to-run prompts, severity scoring, reporting, and remediation.
Step-by-step guide to build an AI moderation workflow for UGC: policy tiers, triage rules, AI filters, human review, testing checklist, and vendor checklist.
A non-technical, one-hour AI privacy checklist with 10 concrete tests, vendor questions, sample prompts, and a printable team takeaway to verify data safety.
Build a safe, rule-driven AI email triage workflow: set filters, use summary and reply prompts, include human approvals and credential safeguards.
A practical classroom guide with step-by-step exercises, sample prompts, and rubrics to teach students how to critically evaluate AI outputs and cite sources.
A practical, team-friendly guide to designing consent flows and transparency for AI that uses personal data, with UI examples, logging, and QA checks.
Practical, step-by-step guide to obtain informed consent and protect likeness when producing AI-generated videos—forms, tech provenance, contract language, and response.
A practical checklist to vet AI agent vendors: 12 essential questions across security, capability, reliability, privacy, integration, costs, and exit planning.
A straightforward, safe workflow to feed regulatory text to AI, extract obligations and deadlines, validate outputs, and turn them into an actionable plan.
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