At present, generative artificial intelligence (genAI) programmers are tasked with working to eliminate algorithmic bias against women and racial minorities in their creations. However, even if the algorithms themselves become more equitable, the outcomes of using genAI could vary significantly depending on a worker’s race, sex, or age. A new study out from job listings site Indeed’s Hiring Lab today suggests that genAI might not affect all of these brackets equally—but that may be because members of each demographic tend to work in different fields.
The report is a mouthful, entitled “Indeed’s AI at Work Report: The People Behind the Jobs GenAI is Most- and Least-Poised to Change—a Look at Age, Gender and Race.” It’s the latest in a series of studies called “AI at Work” that Indeed commissioned to gauge genAI’s potential impact on a wide variety of fields. So far, AI at Work has touched on how genAI could create jobs, as well as how genAI could affect existing jobs. This latest study is the company’s first foray into the tricky topic of demographics.
To conduct its research, the Hiring Lab asked ChatGPT to rate itself as “poor,” “fair,” “good,” or “excellent” at the job skills required in a number of different fields represented in Indeed’s job listings. The company then cross-referenced this assessment with demographic data from the Bureau of Labor Statistics to determine how effectively genAI might complement workers in any given field.
In terms of race, Indeed found that workers of Asian/Pacific Islander (AAPI) ancestry are the likeliest to have “high exposure” to genAI technology: 21.5%, as opposed to 12.9% for the next-highest demographic group, White workers. Conversely, Hispanic workers had the highest percentage of “low exposure” jobs, at 42%.