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Co-Founder and Thirdroom RUC Anker
Great to soon be onboarding! Happy friday:)
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. https://doi.org/10.5465/annals.2018.0174
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. https://doi.org/10.1287/orsc.2021.1544
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. https://doi.org/10.25300/MISQ/2021/16564
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. https://doi.org/10.1007/s00146-021-01249-2
Jannis Kallinikos (LUISS, Rome)
Alaimo, C., & Kallinikos, J. (2021). Managing by Data: Algorithmic Categories and Organizing. Organization Studies, 42(9), 1385–1407. https://doi.org/10.1177/0170840620934062
All the best,
Marcus
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The project aims to make digital developments work for democratic legitimacy and societal trust. We do so through research, enhanced public understanding of technologies, policy recommendations, and dialogue. The project is supported by the Velux Foundations.