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 one of our two-part podcast series, How to Start Tackling AI Bias, Jett Oristagio, Data Science & Product Lead of Trusted AI at DataRobot, will review how to think about bias as it relates to AI and the human systems that it is used in. Then, he’ll highlight how to reframe the conversation around AI and understanding it as the first step in building a more ethical, fairer system.