BeginnerÚtvonal · Szabad

Felelős MI felhasználó

Use AI productively while protecting privacy, checking outputs, and preserving human accountability.

4Modulok
8Útmutatók
~5hBefejezni

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Eredmények

Mit tudsz majd csinálni

  • Design clear prompts with useful context and constraints.
  • Review outputs for factual, privacy, bias, and copyright risks.
  • Build a repeatable human-in-the-loop workflow.

Először ajánlott: AI alapok

Tanterv

Kurzusmodulok

  1. Prompting with context

    Eredmény: Turn vague requests into testable instructions.

    Gyakorlás: Rewrite a weak prompt with audience, context, constraints, examples, and success criteria.

    Prompt and context designNyelvi modell mechanika
  2. Reviewing outputs

    Eredmény: Detect unsupported claims and decide what requires verification.

    Gyakorlás: Annotate an AI answer as verified, attributed, uncertain, or unsupported.

    Output review and error detectionBias and fairnessForrás- és igényellenőrzés
  3. Privacy and ownership

    Eredmény: Choose safe inputs and understand content rights.

    Gyakorlás: Create a red/yellow/green data policy for an AI workflow.

    Privacy and data handlingCopyright and content provenance
  4. A dependable workflow

    Eredmény: Combine AI assistance with checkpoints and human ownership.

    Gyakorlás: Map an existing task and mark where AI may draft, check, or never decide.

    AI-assisted workflow designTool selection and comparisonAutomatizálási határok és védelmi intézkedések

Alkalmazott zárókő

Human-in-the-loop workflow

Design and test an AI-assisted workflow for a real recurring task.

  • Before-and-after process
  • Prompt or configuration
  • Verification checklist
  • Privacy and failure safeguards