Why addressing bias in AI algorithms matters (Includes interview)

To gain an insight into these and other essential 2021 trends for businesses, Digital Journal caught up with Robert Prigge, CEO of Jumio. Addressing bias in AI algorithms will be a top priority causing guidelines to be rolled out for machine learning support of ethnicity for facial recognition. Prigge explains: "Enterprises are becoming increasingly concerned about demographic bias in AI algorithms (race, age, gender) and its effect on their brand and potential to raise legal issues. Evaluating how vendors address demographic bias will become a top priority when selecting identity proofing solutions in 2021." Prigge adds: "According to Gartner, more than 95 percent of RFPs for document-centric identity proofing (comparing a government-issued ID to a selfie) will contain clear requirements regarding minimizing demographic bias by 2022, an increase from fewer than 15 percent today. Organizations will increasingly need to have clear answers to organizations who want to know how a vendor's AI "black box" was built, where the data originated from and how representative the training data is to the broader population being served."