Algorithmic leadership and the game of business
(2023) 83rd Annual Meeting of the Academy of Management In Academy of Management Proceedings 2023(1).- Abstract
- This paper reflects on the increasing role played by algorithms in management today by situating this trend in the context of a long-standing debate about the distinction between leadership and management. Our guiding question concerns the role of humans in what might be called ‘algorithmic leadership’, understood as an advanced form of algorithmic management that is making redundant some of the exceptional qualities that have traditionally been ascribed to ‘true’ human leaders. The paper recalls the chess-playing automaton known as ‘the Mechanical Turk’, developed by Wolfgang von Kempelen in 1770. For almost a century, the Turk, which was a mechanical illusion secretly operated by a human chess player, travelled through Europe and the US,... (More)
- This paper reflects on the increasing role played by algorithms in management today by situating this trend in the context of a long-standing debate about the distinction between leadership and management. Our guiding question concerns the role of humans in what might be called ‘algorithmic leadership’, understood as an advanced form of algorithmic management that is making redundant some of the exceptional qualities that have traditionally been ascribed to ‘true’ human leaders. The paper recalls the chess-playing automaton known as ‘the Mechanical Turk’, developed by Wolfgang von Kempelen in 1770. For almost a century, the Turk, which was a mechanical illusion secretly operated by a human chess player, travelled through Europe and the US, beating some of the best chess players of its time. Today’s strongest chess-playing computer engines, most notably Google’s AlphaZero, are in no need of illusions to beat the world’s best chess players and nor do they need human chess knowledge of any kind. They are fully self-taught and rely on an algorithm that can be put to work in many game-like environments. Given the widely shared idea that business itself is (supposed to be) game-like, we may legitimately ask what will happen to qualities like ‘vision’, ‘gut-feeling’, ‘inspiration’, and ‘insight’ – all characteristics that are traditionally ascribed to exceptional business leaders – when AI and machine learning further develops in the ‘game-like’ environment of business. Will such leadership qualities fall within the realm of the machine? What roles will be left for human leadership? And is the future of leadership a mechanical Turk reversed, i.e. not a machine that is secretly human, but rather a human face that hides an algorithmic machine? (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/ea71bcb9-7a79-4de8-8b2a-10ab43726448
- author
- Spoelstra, Sverre LU and Butler, Nick LU
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Academy of Management Proceedings
- series title
- Academy of Management Proceedings
- volume
- 2023
- issue
- 1
- publisher
- Academy of Management
- conference name
- 83rd Annual Meeting of the Academy of Management
- conference location
- Boston, United States
- conference dates
- 2023-08-04 - 2023-08-08
- external identifiers
-
- scopus:85190471086
- ISSN
- 2151-6561
- 0065-0668
- DOI
- 10.5465/AMPROC.2023.303bp
- language
- English
- LU publication?
- no
- id
- ea71bcb9-7a79-4de8-8b2a-10ab43726448
- date added to LUP
- 2023-07-14 19:13:25
- date last changed
- 2024-12-12 22:36:27
@inproceedings{ea71bcb9-7a79-4de8-8b2a-10ab43726448,
abstract = {{This paper reflects on the increasing role played by algorithms in management today by situating this trend in the context of a long-standing debate about the distinction between leadership and management. Our guiding question concerns the role of humans in what might be called ‘algorithmic leadership’, understood as an advanced form of algorithmic management that is making redundant some of the exceptional qualities that have traditionally been ascribed to ‘true’ human leaders. The paper recalls the chess-playing automaton known as ‘the Mechanical Turk’, developed by Wolfgang von Kempelen in 1770. For almost a century, the Turk, which was a mechanical illusion secretly operated by a human chess player, travelled through Europe and the US, beating some of the best chess players of its time. Today’s strongest chess-playing computer engines, most notably Google’s AlphaZero, are in no need of illusions to beat the world’s best chess players and nor do they need human chess knowledge of any kind. They are fully self-taught and rely on an algorithm that can be put to work in many game-like environments. Given the widely shared idea that business itself is (supposed to be) game-like, we may legitimately ask what will happen to qualities like ‘vision’, ‘gut-feeling’, ‘inspiration’, and ‘insight’ – all characteristics that are traditionally ascribed to exceptional business leaders – when AI and machine learning further develops in the ‘game-like’ environment of business. Will such leadership qualities fall within the realm of the machine? What roles will be left for human leadership? And is the future of leadership a mechanical Turk reversed, i.e. not a machine that is secretly human, but rather a human face that hides an algorithmic machine?}},
author = {{Spoelstra, Sverre and Butler, Nick}},
booktitle = {{Academy of Management Proceedings}},
issn = {{2151-6561}},
language = {{eng}},
number = {{1}},
publisher = {{Academy of Management}},
series = {{Academy of Management Proceedings}},
title = {{Algorithmic leadership and the game of business}},
url = {{http://dx.doi.org/10.5465/AMPROC.2023.303bp}},
doi = {{10.5465/AMPROC.2023.303bp}},
volume = {{2023}},
year = {{2023}},
}