When AI Scrapes the Internet, It Learns From Us (Flaws Included)
AI doesn’t just learn from data, it learns from us, and we are far from perfect. When it scrapes the internet for knowledge, it also absorbs our biases, blind spots, and noise, shaping how it interprets the world.
In this blog, Hemraj Bedassee unpacks how those imperfections turn into patterns that influence AI behavior, especially in high-stakes domains like finance and healthcare. You will learn how bias quietly enters through uneven data, popularity algorithms, and human assumptions, and how thoughtful testing practices rooted in diversity, realism, and accountability can help uncover and reduce those risks before they scale.