Graduate Student Uses Claude to Build AI Image Detection Experiment
A graduate student at The New School in New York has built a research experiment called InPixelsWeTrust.org in collaboration with Claude to study how people judge visual evidence online. The experiment focuses on understanding how certainty and accuracy diverge when evaluating images, particularly with the growing prevalence of synthetic media.
Experiment Details
The experiment follows a simple structure:
- Users get 6 rounds of testing
- For each round, they have 10 seconds to decide whether an image is real or AI-generated
- After each decision, users rate how confident they felt
The entire process takes under 2 minutes and is completely anonymous with no personal data collected. The researcher is seeking participation from a wide range of respondents beyond academic circles.
Technical Implementation
According to the source, Claude was involved at every stage of development:
- Front-end code and responsive design
- Data pipeline that sends all results to a Google Sheet for analysis
The researcher noted that Claude was "awesome to work with" throughout the collaboration. The website serves as a practical example of how AI coding assistants can be used to build complete web applications for research purposes, from user interface to data collection infrastructure.
📖 Read the full source: r/ClaudeAI
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