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Sverre Spoelstra, portrait image.

Sverre Spoelstra

Senior lecturer

Sverre Spoelstra, portrait image.

Algorithmic leadership and the game of business

Author

  • Sverre Spoelstra
  • Nick Butler

Summary, in English

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?

Publishing year

2023

Language

English

Publication/Series

Academy of Management Proceedings

Volume

2023

Issue

1

Document type

Conference paper

Publisher

Academy of Management

Topic

  • Business Administration

Conference name

83rd Annual Meeting of the Academy of Management

Conference date

2023-08-04 - 2023-08-08

Conference place

Boston, United States

Status

Published

ISBN/ISSN/Other

  • ISSN: 0065-0668
  • ISSN: 2151-6561