Workday AI Advisory Board

Workday’s AI Advisory Board unites world-renowned academic leaders to guide the development of responsible AI solutions and drive innovation for the future of work. By collaborating with this distinguished group, we are advancing research and ideation that ensure our AI-first strategy balances cutting-edge innovation with ethical responsibility and regulatory compliance. This partnership helps us deliver meaningful value to our customers, equipping their leadership teams to navigate evolving AI and technology trends while addressing tomorrow’s most complex challenges.

1. Wang, Y., Stuart, T., & Li, J. (2020). Fraud and innovation 2. de Vaan, M., & Stuart, T. (2022). Gender in the markets for expertise. American Sociological Review, 87(3), 374. 3. Benson, A., Li, D., & Shue, K. (2019). Promotions and the Peter Principle. The Quarterly Journal of Economics, 134(4), 2085–2134 4. Brynjolfsson, E., Li, D., & Raymond, L. R. (2023). Generative AI at work (Working Paper No. 31161). National Bureau of Economic Research. 5. Six Degrees: The Science of the Connected Age 6. How Can AI Improve Health Care 7. Using Machine Learning to Combat Human Trafficking 8. Kleinberg, J., Ludwig, J., Mullainathan, S., & Sunstein, C. R. (2020). Algorithms as discrimination detectors. Proceedings of the National Academy of Sciences, 117(33), 19036–19043. 9. Kleinberg, J., Ludwig, J., Mullainathan, S., & Raghavan, M. (2023, October 6). The inversion problem: Why algorithms should infer mental state and not just predict behavior