Eliminating Bias from Technology for Developers
Room: 128, Bldg: SETA IDE, 2500 North River Rd., Manchester, New Hampshire, United States, 03106Abstract: As reported in the Forbes article “(https://urldefense.com/v3/__https://www.forbes.com/sites/forbestechcouncil/2021/02/04/the-role-of-bias-in-artificial-intelligence/?sh=421300f7579d__;!!BeImMA!7hm8HTPEsan1ZioFQH-8t-2ISV-i4QFIu8-2xuuJI0MzL262DbM3rq58yiS6HJ1U3PUh39B0X39nbCrEs58$)”, facial recognition systems are under scrutiny. Class imbalance is a leading issue in facial recognition software. A dataset called "Faces in the Wild," considered the benchmark for testing facial recognition software, had data that was 70% male and 80% white. Although it might be good enough to …