Digital Literacy
AI Literacy for Work and School
Build practical AI literacy for school, workplace, and everyday knowledge work by learning how AI systems work, when to use them, how to evaluate outputs, and how to use them responsibly.
33 Lessons
69 Quizzes
1157 Minutes
Skills you'll build
Identify AI system outputsClassify AI tool typesRecognize AI output limitsExplain data, models, and trainingTrace an AI interaction flowDistinguish patterns from understandingJudge contextual reliabilityJudge AI task fitKeep human responsibilityMatch AI helper roleIdentify likely AI benefitClassify AI use riskSpot AI misuse signalMatch tool type to taskIdentify tool mismatchSequence AI-assisted workflowScope an AI subtaskSpecify prompt goal, context, and outputApply audience, format, and constraintsUse examples and rubrics to guide qualityIterate with specific feedbackRequest explanations, alternatives, and uncertaintyAsk for a verification planApply human oversight and editingIdentify verifiable claimsRecognize misleading confidencePrioritize verification by riskCheck currency and contextTrace claims to evidenceEvaluate source qualityDetect fabricated detailsSurface assumptions and omissionsAudit summary fidelityJudge fit for purposeAssess bias and perspectiveBuild a verification routineIdentify sensitive AI inputsMinimize and redact prompt dataCheck AI data commitmentsChoose an approved AI channelApply AI use rulesPreserve learning integrityDocument AI assistanceDisclose AI assistanceDistinguish AI help from source evidenceAvoid unsupported AI claimsIdentify affected stakeholdersMap benefits and harms in contextMatch trustworthy AI principles to concernsChoose risk-reducing safeguardsDetect harmful bias risksPlan inclusive and accessible AI useDecide transparency and explanation needsSet human oversight boundariesSequence the AI risk management loopPrioritize AI risksCompare AI and non-AI optionsMake a responsible AI recommendation
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