Taking a Deeper Dive into Human-AI Augmentation Complexity

In the fast-moving and highly competitive artificial intelligence sector, developers’ claims that their AI tools can make critical predictions with a high degree of accuracy are key to selling prospective customers on their value. Because it can be daunting for people who are not AI experts to evaluate these tools, leaders may be tempted to rely on the high-level performance metrics published in sales materials. But doing so often leads to disappointing or even risky implementations.
Join Melissa Schilling, Director of the NYU Stern Fubon Center's Innovation and Technology Initiative, as she discusses this issue with Natalia Levina, NYU Stern Paganelli-Bull Professor of International Business. Together, they delve into these critical topics and more, drawing on Natalia's extensive expertise in AI and organizational dynamics.
Natalia Levina
Professor of Technology, Operations, and Statistics
Paganelli-Bull Professor of International Business
[e-mail]
Melissa A. Schilling
Fubon Center, Director of Technology & Innovation Initiative
Herzog Family Professor of Management
Professor of Management & Organizations
Deputy Chair of the Management & Organizations Department
To learn more, please visit the Fubon Center's website: www.stern.nyu....