Alahna Kindred, The Sun, November 19, 2018

Artificial intelligence is “shockingly” racist and sexist, a study has revealed.

Researchers looked at a range of systems and datasets and found examples where AI had provided inaccurate information for women and minorities.

In one example, the team from Massachusetts Institute of Technology looked at an income prediction system and discovered it was twice as likely to misclassify female employees as low-income and male employee as high-income.

However, the team was able to adjust the system to make sure it was less biased.

When researchers increased the dataset by a factor of 10, they found the mistakes decreased by 40 percent.

Irene Chen, a Ph.D. student who wrote the paper with MIT professor David Sontag and postdoctoral associate Fredrik D. Johansson, said it comes down to usingThe purpose of this agreement is to provide funding for scientific and technical support as well as quality assurance of three large audiometric examination surveys funded by NIDCD. These health surveys are: (i) The National Health and Nutrition Examination Survey (NHANES), (ii) Age, Gene/Environment Susceptibility Study-Reykjavik Study (AGES-RS), and (iii) the Early Childhood Longitudinal Study - Kindergarten Class of 2010/2011 (ECLS-K:2010/2011). The Audiometry Components of all three health examination surveys were previously developed by NIDCD in collaboration with NIOSH and other consultants. NIOSH collaborated on the design of the experimental protocol and provided the equipment specifications, oversight of maintenance and calibration, technician training and oversight, operations manual development, and quality assurance for the NHANES. As well, NIOSH provided similar support to AGES and ECLS-K:2010/2011, including setting-up training sessions