In this episode we explore how students learn to spot AI-generated deepfakes, and why confidence may be one of the biggest risks in AI literacy.

We look at a new study from researchers in Germany that used eye-tracking technology to examine where students look when trying to decide whether an image is real or AI-generated.

Topics covered:

• How students visually inspect AI-generated images
• What eye-tracking research reveals about deepfake detection
• The difference between gut-level pattern recognition and systematic scanning
• Why AI-generated images often fail at the edges
• How critical thinking instruction can change students’ attention habits
• Why students may overestimate their ability to spot deepfakes
• The limits of one-off AI literacy lessons

Sources:

https://www.sciencedirect.com/science/article/pii/S0360131525002982