How To Remove Bias From AI Models - AI Summary

"Unfortunately, there's no way to quantify the size of this problem," said Brandon Purcell, a Forrester vice president, principal analyst, and co-author of the report, adding "… it's true that we are far from artificial general intelligence, but AI is being used to make critical decisions about people at scale today--from credit decisioning, to medical diagnoses, to criminal sentencing. These could include business leaders, lawyers, security and risk specialists, as well as activists, nonprofits, members of the community and consumers. Accounting for intersectionality or how different elements of a person's identity combine to compound the impacts of bias or privilege. "The key is in adopting best practices across the AI lifecycle from the very conception of the use case, through data understanding, modeling, evaluation, and into deployment and monitoring," Purcell said. "Unfortunately, there's no way to quantify the size of this problem," said Brandon Purcell, a Forrester vice president, principal analyst, and co-author of the report, adding "… it's true that we are far from artificial general intelligence, but AI is being used to make critical decisions about people at scale today--from credit decisioning, to medical diagnoses, to criminal sentencing.