To Build Less-Biased AI, Hire a More-Diverse Team

To combat bias in AI, companies need more diverse AI talent. After all, if none of the researchers building facial recognition systems are people of color, ensuring that non-white faces are properly distinguished may be a far lower priority. The problem is that human resume screening is itself inherently biased. Discrimination is so prevalent that minorities often actively whiten resumes (and are subsequently more successful in the job market). Scanning resumes, whether by computer or human, is an archaic practice best relegated to the dustbin of history.