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Workday AI Advisory Board

Bringing together top academic minds to shape responsible AI strategy and redefine the future of work.
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Addressing Today’s Most Pressing Challenges, Lighting the Path Forward for Tomorrow.

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.

Cutting-Edge Research

Conduct groundbreaking studies to explore how AI can transform people and financial management, offering solutions to the most critical challenges faced by leading organizations today.

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Responsible and Transformative AI Advisory

Serve as strategic advisors to guide Workday’s AI strategy, helping our customers balance innovation with ethical considerations and regulatory compliance.

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Outcome-Focused Thought Leadership

Provide actionable insights into the societal and organizational impacts of AI, delivering best practices and demonstrating the value of human-machine collaboration to enhance productivity, we...

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Meet the Board

The professionals that will work with you

Toby Stuart

Chairman

Helzel Chair in Entrepreneurship, Strategy and Innovation
UC Berkeley

Hamsa Sridhar Bastani

Board Member

Associate Professor of Operations, Information and Decisions
University of Pennsylvania

Danielle Li

Board Member

David Sarnoff Professor of Management of Technology / Faculty Research Fellow
MIT / National Bureau of Economic Research

Sendhil Mullainathan

Board Member

Peter de Florez Professor, Economics and EECS
MIT

Duncan Watts

Board Member

Stevens University Professor
University of Pennsylvania

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Exciting research into your core business challenges is coming soon! In the meantime, explore a sampling of our board’s existing catalog:

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
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