Thomas A. Kochan, Ben Armstrong, Julie Shah, Emilio J. Castilla, Ben Likis, and Martha E. Mangelsdorf | An MIT Exploration of Generative AI | 3/27/2024
The purpose of this article is to identify ways to bring workers’ voices into the development and use of generative artificial intelligence (AI). Drawing on more than fifty interviews we conducted, we identify lessons new deployments of generative AI tools can take from research on worker voice to ensure that the adoption and use of generative AI is beneficial for workers, organizations, and society. Evidence from recent interviews and past research indicates that input from workers can increase the likelihood that organizations use generative AI tools effectively and workers’ job quality improves. The evidence collected also suggests that generative AI is particularly well-suited to “bottom-up” development and use based on workforce experimentation.
