The concept of algorithmic bias is explored through examples of technology failing to serve non-white users, such as Nikon cameras misidentifying Asian eyes as blinking and Google Photos mislabeling Black people. The discussion posits that while mathematics itself is neutral, the humans who program and feed data into AI systems introduce their own biases. These technological failures are contrasted with the companies' public support for social justice causes.



