cloned voices used in phone scams, deepfake videos of politicians, AI-written articles posing as journalism. Research shows most people can no longer reliably tell the difference. This course fixes that.
You’ll learn a systematic 4-tier detection workflow that works on every type of content: images, video, deepfakes, audio, and text. Instead of memorizing “tells” that go obsolete with every new model release, you’ll build a repeatable verification habit, starting with what your own eyes and ears can catch, then moving through source verification with the SIFT method, forensic checks like metadata and invisible watermarks (C2PA, SynthID), and finally AI detection tools like Hive Detect and GPTZero, including when NOT to trust them.
Everything is hands-on. You’ll run reverse image searches, step through videos frame by frame, inspect metadata and test real detection tools on real examples, including cases where the tools get it wrong.