Insights From “The Machine Stops ” to Better Understand Rational Assumptions in Algorithmic Decision Making and Its Implications for Organizations
Year: 2019
Type: article
Abstract: This essay represents the synthesis of a long process of de- liberation and intellectual struggle among the authors about the wider topic of algorithmic decision making at work and in society. Following Parkinson (2019), we underline that this essay is our original work and that it was produced without the help of an algorithm. In addition, some readers may find it useful to learn more about the practical relevance of this essay as reported in the news already (Hill, 2019; Kahn, 2019). Former associate editor Jean Bartunek and the three re- viewers provided most insightful and stimulating comments during the review process. In addition, Christine Moser’s comments, and the feedback from the MOTI seminar series at Grenoble Ecole de Management, helped us consolidate the arguments presented in the essay. We are indebted to all of them for the intellectual generosity and guidance. A final thank you from Dirk Lindebaum goes to Virginia Brown for having left Forster’s short story as a small gift on his desk one day. It was only a small gift, but its inspiration for this essay was extraordinary.
Source: Academy of Management Review
Authors: Dirk Lindebaum, Mikko Vesa, Frank den Hond
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2944727737