AI learns by spotting patterns from examples — the better and more varied the data, the smarter and fairer the AI becomes.
If the AI sees limited or biased data, it can make wrong decisions.
This hands-on experiment shows that AI learning depends on data quality, not magic!
“AI is only as smart as the data it learns from.”