The stories of bias in AI are everywhere: Amazon’s recruiting tool, Apple’s credit card limits, Google’s facial recognition, and dozens more. The quick solution is just to blame the algorithm and its designers. But it’s not a question of whether or not you have bias in your institution, because every organization does. Rather, the real question is how you plan to handle it.
In part two of this two-part podcast series, How to Start Tackling AI Bias, Jett Oristagio, Data Science & Product Lead of Trusted AI at DataRobot, will take a deeper dive into how to tackle AI bias.