AI bias refers to systematic, repeatable errors in a computer system that create unfair outcomes. This usually happens when an algorithm privileges one category of data or people over another. Understanding AI bias requires looking at how it happens, how it shows up, and why it is so difficult to eliminate.
An AI model learns patterns from data. If those patterns are flawed, the AI copies and amplifies those flaws.
BuildBias just figured out a way to control that.
Buildbias currently works with up to 5 companies per month. You can join our waitlist by sending us an email and tell us more about your business and we will reach out.
Being number one in search results is temporary, but existing in the training data is forever.