93% of businesses in a 2022 PWC survey had started their journey into AI and were somewhere between testing and widespread adoption, the other 7% were considering it; everyone is in.
Try to find the number or percentage of companies implementing AI, in the US and around the globe, and you’ll find credible studies and solid numbers. Try to find statistics on the frequency with which AI discriminates against consumers, and numbers will be hard to come by.
Left unsupervised, AI is likely to pick up a few bad habits and make detrimental generalizations. AI is special, in part, because it learns. It takes the data to which developers expose it and makes assumptions. Children who never see women in certain roles may grow up to assume that there are tasks that are less suited to women and careers where women do not belong.
AI tools that grow up with similarly limited gender or racial datasets enter the world and behave in analogous ways.
Unfortunately, these tools get jobs making consequential decisions in areas of healthcare, finance, banking and lending, housing, employment, law enforcement and beyond. The same tools that performed admirably to create fair and neutral processes are now bringing back racial, gender, ethnic, religious, and socioeconomic discrimination that no one wants to relive.
Fortunately, there are best practices that can reduce instances of biased AI. Letting algorithms autonomously reach for data and make unscrutinized decisions invites them to wander into...
The United States alleges that from September 2015 through December 2020, St. Michael’s Eye & Laser Institute (St. Michael’s) and Dr. Michaelos caused the submission of false claims for transc...