Dear OMT Members,
Marta Stelmaszak and I are co-organizing a Presenter Symposium at the AOM 2026 annual meeting in Philadelphia:
From Data to AI and Back Again: Unpacking the Relationship Between Data and AI.
Mon, Aug 3, 2026, 9:45-11:15 AM, at Marriott Franklin 8.
Our observation has been that much of the conversation on AI still treats data as a stable input: something collected, cleaned, and then fed into models. But contemporary AI systems complicate this view. Data are transformed for AI, generated by AI, folded back into organizational practice, and increasingly become part of the infrastructure through which organizations know, decide, and act.
In this symposium, we bring together four papers that examine the recursive relationship between data and AI:
- Making Data Work for AI: Data Quality in the Age of Artificial Intelligence
Tomislav Karačić, London School of Economics
Marta Stelmaszak, University of Massachusetts Amherst
- Tracing Uncertainty in AI through Upstream Data Provenance
Olivia Benfeldt, Copenhagen Business School
Elena Parmiggiani, NTNU
-
Robots, Cows, and Shadowed Ground Truth: How AI Learning Loops Fail to Close in Practice
Angelos Kostis, Umeå University
Pamela Hinds, Stanford University
- AI and Organizing: From Data as Objects to Data as Epistemic Infrastructure
Mayur Joshi, University of Ottawa
We are fortunate to have three outstanding discussants joining the session:
Natalia Levina, NYU Stern
Aron Lindberg, Stevens Institute of Technology
Kathleen Pine, Arizona State University
We look forward to seeing many of you in Philadelphia and to a rich conversation on data, AI, organizing, and knowledge production.
Best,
Mayur and Marta
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MAYUR JOSHI, PHD
Assistant Professor
Father Edgar Thivierge Fellow in AI and Transformation of Work, Occupations, and Organizations
Telfer School of Management
University of Ottawa
www.telfer.uottawa.ca/en/directory/mayur-joshi/www.mayurpjoshi.com/www.linkedin.com/in/mayurpjoshi------------------------------