Prins Marcus Valiant
Researching issues of datafied health
Dear ADD colleagues, Trying to begin the discussion here in the Thirdroom. Great to see a lot of you at the Konventum retreat this week! Thanks for many mind-boggling discussions. 😊 I wanted to share a few papers from neighboring fields that resonate with our perspective (i.e. AI is relational, taking place between actors and within organizational settings, etc.). Please see below. Last week, Alexander and I participated in the workshop “AI and Emerging Technologies: Beyond the Hype.“ It was a vibrant group of diverse scholars from management and organization studies, sociology, information systems, etc. If you’re interested, have a look at #theorizingAI on LinkedIn. Let me share some fascinating papers by keynote speakers and discussants. Hopefully they can stimulate our ADD discussions and help us in our ongoing research endeavor. Kate Kellogg (MIT Sloan) Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms at work: The new contested terrain of control. Academy of Management Annals, 14(1), 366-410. Marleen Huysman (AI@Work, Vrije University Amsterdam) Waardenburg, L., Huysman, M., & Sergeeva, A. V. (2022). In the Land of the Blind, the One-Eyed Man Is King: Knowledge Brokerage in the Age of Learning Algorithms. Organization Science, 33(1), 59–82. Sarah Lebovitz (University of Virginia) Lebovitz, 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. Jonny Holmström (Umeå University) Holmström, & Hällgren, M. (2022). AI management beyond the hype: exploring the co-constitution of AI and organizational context. AI & Society, 37(4), 1575–1585. Jannis Kallinikos (LUISS, Rome) Alaimo, C., & Kallinikos, J. (2021). Managing by Data: Algorithmic Categories and Organizing. Organization Studies, 42(9), 1385–1407. All the best, Marcus
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