Description

Generative AI is the biggest tech issue of our time. We might be witnessing history in the making. At least, so says Hila Lifshitz-Assaf, who is not only senior editor for Organization Science but also has been studying AI and innovation for years and who is part of an inter-disciplinary team that explores the impact of generative AI on professional practices. Together, we decipher what is new and what is not, what is different and what is the same, before and after tools such as ChatGPT and Midjourney entered society at large.

Episode Reading List

• Dell’Acqua, F., McFowland, E., Mollick, E. R., Lifshitz-Assaf, H., Kellogg, K., Rajendran, S., Krayer, L., Candelon, F., & Lakhani, K. R. (2023). Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality. Harvard Business School Technology & Operations Mgt. Unit Working Paper 24-013.
• Lebovitz, S., Levina, N., & Lifshitz-Assaf, H. (2021). Is AI Ground Truth Really “True”? The Dangers of Training and Evaluating AI Tools Based on Experts’ Know-What. MIS Quarterly, 45(3), 1501-1525.
• Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021). Managing Artificial Intelligence. MIS Quarterly, 45(3), 1433-1450.
• Lebovitz, S., Lifshitz-Assaf, H., & Levina, N. (2022). To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis. Organization Science, 33(1), 126-148.
• Seidel, S., Berente, N., Lindberg, A., Lyytinen, K., & Nickerson, J. V. (2019). Autonomous Tools and Design: A Triple-Loop Approach to Human-Machine Learning. Communications of the ACM, 62(1), 50-57.
• Sting, F. J., Tarakci, M., & Recker, J. (2024). Performance Implications of Digital Disruption in Strategic Competition. MIS Quarterly, forthcoming.