How AI works — honestly
AI literacy
The subject almost no one else teaches: how AI actually works, telling real from generated, and using it honestly and wisely.
Custom AI-literacy framework41 units
Stage 1
- 1Alive or Made?HM · AI
- 2I Think and FeelHM · AI
- 3What Comes Next?HW · AI
- 4Sort ItHW · AI
- 5Be KindWS · AI
- 6Ask a Grown-UpWS · AI
- 7I Have a NameHM · AI
- 8People Made ItHM · AI
- 9It Only Knows What It SawHW · AI
- 10More ExamplesHW · AI
- 11Be GentleWS · AI
- 12Take TurnsWS · AI
- 13On and OffHM · AI
- 14I Think FirstHM · AI
- 15A Guess Can Be WrongHW · AI
- 16Steps in OrderHW · AI
- 17Take a BreakWS · AI
- 18People FirstWS · AI
Stage 2
- 1Person or Machine?HM
- 2Sounds Friendly, Isn'tHM · AI
- 3I Think FirstHM
- 4It Guesses from ExamplesHW
- 5Teach a MachineHW · AI
- 6Where I Meet AIHW
- 7Real or Made?DR
- 8Is That What I Meant?DR · AI
- 9Think First, Then SayHU · AI
- 10My Work Is MineHU
- 11People FirstWS · AI
- 12Stay SafeWS · AI
- 13Who Made It?HM · AI
- 14A Tool Like a SpoonHM · AI
- 15On and OffHM · AI
- 16It Can 'See'HW · AI
- 17It Can "Hear"HW · AI
- 18More Examples, Better GuessHW
- 19Right or Wrong, It LearnsHW · AI
- 20Count and CheckDR · AI
- 21Ask a Grown-UpDR
- 22My Own Try FirstHU · AI
- 23Tell the Truth About My WorkHU · AI
- 24Take a BreakWS · AI
- 25Be Gentle with ToolsWS · AI
- 26It Follows StepsHM · AI
- 27Saying Isn't KnowingHM · AI
- 28I'm One of a KindHM · AI
- 29Fair ExamplesHW · AI
- 30It Can Be TrickedHW · AI
- 31Steps in OrderHW · AI
- 32The Screen Can PretendDR · AI
- 33Look AgainDR
- 34Copying Isn't MakingHU
- 35Proud of My Own TryHU · AI
- 36A Helper, Not a FriendWS · AI
- 37Ask Before a New ToolWS · AI
Stage 3
- 1Helper, Not JudgeHM · AI
- 2No ConscienceHM
- 3Fair GuessesHW
- 4Learns from DataHW · AI
- 5Sense, Think, ActHW · AI
- 6Is It True?DR
- 7Compare AnswersDR · AI
- 8Fine or Cheating?HU
- 9Say How AI HelpedHU
- 10A Person Matters MoreWS · AI
- 11Be Safe OnlineWS
- 12Make with AICB
- 13Mine and the AI'sCB · AI
- 14Not a Friend Who CaresHM
- 15No Body, No LifeHM · AI
- 16Guessing the Next BitHW · AI
- 17Sorting into GroupsHW · AI
- 18Spot the TellsDR
- 19Check the RestDR
- 20Think First, Then AskHU · AI
- 21Understand, Don't CopyHU · AI
- 22Keep Private Things PrivateWS
- 23Be Kind OnlineWS
- 24Plan FirstCB
- 25Keep, Cut, or ChangeCB · AI
- 26I Can DisagreeHM
- 27Made to Help UsHM · AI
- 28Right Often, Never AlwaysHW · AI
- 29Changes with Its DataHW · AI
- 30Where Did It Come From?DR
- 31Which Is True?DR
- 32Give CreditHU
- 33Ask What's AllowedHU
- 34Balance Screen TimeWS · AI
- 35Tell a Grown-UpWS
- 36Try AgainCB
- 37Share HonestlyCB
Stage 4
- 1Only Persons Are ResponsibleHM
- 2I Am the DirectorHM
- 3Meeting My First AI ToolWS · AI
- 4Confidently WrongHW
- 5Predicts, Doesn't UnderstandHW · AI
- 6Check a Trusted SourceDR
- 7Spot a Made-Up FactDR · AI
- 8Not My OwnHU
- 9The Honest PathHU
- 10When NOT to Use ItWS · AI
- 11Ask PermissionWS · AI
- 12Plan, AI Builds a PartCB · AI
- 13Test and FixCB
- 14Love, Care, and HopeHM · AI
- 15No Free WillHM
- 16What a Model IsHW · AI
- 17Looking AheadHW
- 18Where the Data Comes FromHW · AI
- 19Fact or Opinion?DR
- 20Check Date and SourceDR
- 21Declare What AI DidHU
- 22Learn, Don't SkipHU
- 23I Choose, Not the FeedWS
- 24Help, Don't HarmWS · AI
- 25AI That Helps PeopleWS · AI
- 26Break It into StepsCB
- 27Find the PatternCB
- 28My WorthHM
- 29Keep It in Its PlaceHM
- 30Data and PrivacyHW · AI
- 31How a Recommender GuessesHW
- 32Confident Tone Isn't ProofDR
- 33Fake Quote or ReferenceDR
- 34Keep a RecordHU
- 35Don't Fake SourcesHU
- 36Think Before I ShareWS · AI
- 37Rest and Real Life FirstWS · AI
- 38Clear InstructionsCB
- 39Check the AI's PartCB
Stage 5
- 1Not a ScoreHM
- 2Judgment in ChargeHM
- 3Biased DataHW
- 4Data → Train → PredictHW
- 5A Convincing MistakeDR
- 6Whose Voice Is Missing?DR
- 7Learn vs DeceiveHU
- 8Keep It My OwnHU
- 9Serve OthersWS
- 10Human or Machine?WS
- 11Debug Across TriesCB
- 12Combine the PartsCB
- 13Mimics, Not a PersonHM
- 14Only a Person Can…HM
- 15Quality Over QuantityHW
- 16Patterns That Aren't ThereHW
- 17Real or Synthetic?DR
- 18That Voice Could Be MadeDR
- 19Biased Toward a GroupDR
- 20When a Machine Reads FacesDR
- 21Honest About UnderstandingHU
- 22Don't CheatHU
- 23Care for the PlanetWS
- 24Ask for ConsentWS
- 25Iterate the PromptCB
- 26Combine Mine and AI'sCB
- 27Own My ConscienceHM
- 28Stand with the HarmedHM
- 29Training vs UsingHW
- 30Sure and WrongHW · AI
- 31Trace the ClaimDR
- 32Persuasion or Information?DR
- 33Don't PlagiariseHU
- 34Own My MistakesHU
- 35Notice ManipulationWS
- 36Include EveryoneWS
- 37Compare Two VersionsCB
- 38Document My StepsCB
Stage 6
- 1Persons Hold ResponsibilityHM
- 2Human Judgment in ChargeHM
- 3Data, Quality, BiasHW
- 4What an AI Agent IsHW
- 5Bias, Fairness, ProvenanceDR
- 6Cross-Check SourcesDR
- 7Academic IntegrityHU
- 8Know What I Don'tHU
- 9Brief and VerifyWS
- 10Own the ResultWS
- 11Delegate, Verify, OwnCB
- 12Design Decisions Are MineCB
- 13When a Machine Must Not DecideHM
- 14Not a Moral AgentHM
- 15The Whole PipelineHW
- 16Models DriftHW
- 17Name a DeepfakeDR
- 18Quality of EvidenceDR
- 19AI-Use StatementHU
- 20Resist Over-TrustHU
- 21Benefits vs HarmsWS
- 22Privacy and RightsWS
- 23Write and Refine a BriefCB
- 24Evaluate Against the GoalCB
- 25Defend DignityHM
- 26People FirstHM
- 27What an LLM Can't DoHW
- 28Bias at Each StepHW
- 29Manipulated MediaDR
- 30Trust, Share, or FlagDR
- 31Honesty Under PressureHU
- 32Integrity CultureHU
- 33Sustainably and JustlyWS
- 34Stand Up for the ExcludedWS
- 35A Real User's NeedCB
- 36Present and DefendCB