Dirty Data. Broken AI. Real-World Consequences.

AI is transforming hiring, healthcare, real estate, finance, and business decisions — but when the data is wrong, AI doesn’t just fail.
It amplifies bias, misleads decisions, and causes real harm.

This magazine explores how AI actually behaves in the real world, why data quality matters more than algorithms, and what businesses and institutions must fix before trusting automation.