AILiteracy Lab
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AI Literacy Course

From Knowing AI to Verifying Content:
A Complete Learning Guide

This is not just a deepfake course. It is a broader AI literacy curriculum covering AI capabilities and limits, prompting and verification, common risks, visual and video forensics, and real-world cases so you can build judgment skills for school, work, and public information environments.

Start with Visual & Deepfake Forensics Jump to Real-World Cases Open Detection Tool
⚡ Course guide
The course can be read sequentially or used chapter by chapter. Each chapter takes about 15 to 25 minutes. Across all seven, readers build a structured view of AI capabilities, limits, risks, and verification practice.

Course framing

This front page introduces the curriculum, representative incidents, and key references before readers move into the full chapters.

Quick route

  • Start with Chapter 04: Visual & Deepfake Forensics
  • Then open Chapter 07: Real-World Cases
  • Finish with Chapter 06: Tools & Workflow
Evidence Base
This curriculum is built on MIT, UNESCO, NIST, Cambridge, WITNESS, and Taiwan fact-checking practice rather than intuition alone.
MIT News / Science
MIT: False news travels faster than true stories
Official MIT summary of the Science paper behind the 6× / 70% / human-not-bot claim.
UNESCO
UNESCO guidance on generative AI in education
Explains why AI literacy must cover privacy, age, validation, and human oversight.
NIST
NIST Generative AI Risk Management Profile
Core course stance on trustworthiness, transparency, verification, and oversight aligns with NIST.

Recent real incidents worth teaching from

These cards use event-linked images from the original reports rather than generic stock visuals. They work well as lecture openers, workshop prompts, or quick entry points before the full chapters.

Tel Aviv meteor-like airstrike case image
Case *1

"Meteor-like airstrike on Tel Aviv" AI video

Crisis footage spreads because it looks urgent and cinematic. That makes it a strong teaching case for synthetic video plausibility.

Source: Taiwan FactCheck Center, 2026-03-26
Fake edited Lai speech case image
Case *2

Fake edited "20 years ago Lai speech" clip

Not every false video is fully generated. Some are edited, reframed, and circulated as if they were authentic historical material.

Source: Taiwan FactCheck Center, 2025-03
AI elderly duet case image
Case *3

AI-generated "elderly duet" video

Emotionally warm content is often shared with less skepticism, which makes it useful for teaching public verification habits.

Source: Taiwan FactCheck Center, 2025-02
Leaked political audio case image
Case *4

Leaked fake political audio

Verification is not only visual. Reposted audio clips and platform-transformed voice content create their own misinformation risks.

Source: RFA / Asia Fact Check Lab, 2024-06-11
AI flower blooming case image
Case *5

AI video of insects making flowers bloom instantly

Highly aesthetic “nature magic” clips are useful for teaching how overly perfect motion and timing can still be a red flag.

Source: Taiwan FactCheck Center, 2025-05
DeepSeek AI misinformation case image
Case *6

When an AI tool explains the news incorrectly

This case broadens the lesson beyond video: generative systems can also present wrong or incomplete information as if it were authoritative.

Source: Taiwan FactCheck Center, 2025-03
Chapter 01
Know AI
Chapter 02
Verify & Prompt
Chapter 03
AI Risks & Pitfalls
Chapter 04
Visual & Deepfake Forensics
Chapter 05
Responsible Use
Chapter 06
Tools & Workflow
Chapter 07
Real-World Cases