Diverse AI teams are key to reducing bias

All the sessions from Transform 2021 are available on-demand now. An Amazon-built resume-rating algorithm, when trained on men's resumes, taught itself to prefer male candidates and penalize resumes that included the word "women." A major hospital's algorithm, when asked to assign risk scores to patients, gave white patients similar scores to Black patients who were significantly sicker. "If a movie recommendation is flawed, that's not the end of the world. But if you are on the receiving end of a decision [that] is being used by AI, that can be disastrous," Huma Abidi, senior director of AI SW products and engineering at Intel, said during a session on bias and diversity in AI at VentureBeat's Transform 2021 virtual conference.