Artificial Intelligence (AI) has become an integral part of our daily lives, but it also raises concerns about AI bias. This page provides an overview of some notable AI bias case studies.
Case Study 1: Amazon's Hiring Algorithm
Amazon developed an AI algorithm to streamline its hiring process, but the algorithm inadvertently favored male candidates over female candidates. This bias was due to the fact that the algorithm was trained on data that contained gender biases.
Case Study 2: Google Photos Mislabeling
Google Photos mislabeled photos of black individuals as gorillas. This error was due to the algorithm being trained on a dataset that was not diverse enough.
Case Study 3: COMPAS Recidivism Algorithm
The COMPAS recidivism algorithm used by the US justice system has been found to have racial biases, leading to higher false positive rates for black individuals.