Speakers: Jerry Davis (University of Michigan), Dirk Lindebaum (Grenoble Ecole de Management), Stella Pachidi (University of Cambridge)
主持人：徐安妮（亚利桑那州立大学从计算机的诞生到社交媒体的普及，信息技术的进步为社会科学研究带来了挑战和机遇。生成式人工智能（如 ChatGPT）对我们如何开展和分享工作（包括定性和定量工作）以及什么是真正的人类知识提出了根本性的问题。在本小组讨论中，我们将讨论这些挑战是什么，它们在不同的研究环境中是如何体现的，以及研究界可以而且应该如何建立防护栏，以指导负责任的管理研究原则。
Suggested readings:
- Lindebaum, D. and Fleming, P. (2023), ChatGPT Undermines Human Reflexivity, Scientific Responsibility and Responsible Management Research. British Journal of Management. https://doi.org/10.1111/1467-8551.12781
- Lindebaum, D., Moser, C. and Islam, G. (2023), Big Data, Proxies, Algorithmic Decision-Making and the Future of Management Theory. Journal of Management Studies. https://doi.org/10.1111/joms.13032
- Davis, G. F. (2014). Editorial Essay: Why Do We Still Have Journals? Administrative Science Quarterly, 59(2), 193-201. https://doi.org/10.1177/0001839214534186 -
Kulkarni, M., Mantere, S., Vaara, E., van den Broek, E., Pachidi, S., et al. (2023). The future of research in an artificial intelligence-driven world. JMI. http://tinyurl.com/7yczd9ak
- Grimes, M., von Krogh, G., Feuerriegel, S., Rink, F., and Gruber, M. (2023) From Scarcity to Abundance: Scholars and Scholarship in an Age of Generative Artificial Intelligence. AMJ, 66, 1617–1624, https://doi.org/10.5465/amj.2023.4006
- RRBM Position Paper, access: https://www.rrbm.network/position-paper/
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