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, but rather how you plan to handle it.
In part 1 of 2 of this latest Data Science Central podcast, ‘How to Start Tackling AI Bias, Part 1: The Human Side of AI Bias’, Jett Oristaglio, Data Science Product Lead of Trusted AI at DataRobot, will review how to think about bias as it relates to AI specifically, 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.
Jett Oristaglio, Data Science Product Lead of Trusted AI - DataRobot
Sean Welch, Host and Producer - Data Science Central