An authority on information systems and technological transformation, Sarah Lebovitz investigates how organizations develop, adopt, and use AI tools for making high-stakes decisions, specifically in healthcare contexts for medical diagnosis and settings with moral and fairness concerns (e.g., human resources, criminal justice, and public policies). She has co-authored important work in this area, including “To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis” in Organization Science. Her paper published in MIS Quarterly, “Is AI Ground Truth Really ‘True’? The Dangers of Training and Evaluating AI Tools Based on Experts’ Know-What,” details an in-depth field study investigating how managers evaluate the merit of AI tools for making critical organizational decisions; it won both the AIS Best Information Systems Publications Award and the MIS Quarterly Paper of the Year award in 2022. Professor Lebovitz joined McIntire in 2020 and teaches the Systems and Strategy course, focusing specifically on topics of digital transformation and disruptive technologies.

Featured Publications
“To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis,” Organization Science, 2022. Sarah Lebovitz, Hila Lifshitz-Assaf, Natalia Levina.
 

“Is AI Ground Truth Really ‘True’? The Dangers of Training and Evaluating AI Tools Based on Experts’ Know-What,” MIS Quarterly, 2021. Sarah Lebovitz, Natalia Levina, Hila Lifshitz-Assaf.