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Real-Time Management: When AI Goes Fast and Flow

In: Platforms and Artificial Intelligence

Author

Listed:
  • Pernille Rydén

    (IT University of Copenhagen)

  • Omar El Sawy

    (Marshall School of Business, University of Southern California)

Abstract

Real-time management of Artificial Intelligence (AI) becomes a central enabling function for coping with the rapid market changes and increasing demands of stakeholders. But diverse sensing of real time makes it tricky for enterprises to adjust business processes towards a real-time-based era and build the temporal conditions needed for deploying AI in a humanistic manner. This chapter, therefore, introduces the concept of Fast and Flow in an AI engagement context. Fast and Flow encompasses two ideas: one considers time as a monetary asset that helps to increase value; the second does not seek to control time and does not define it on the clock scale, rather, it describes the sense of presence. By introducing the components of Fast and Flow interaction, we provide a cognitive psychology dimension to the management of AI and explore the balancing of Fast and Flow in three possible AI scenarios. The first scenario is “business as usual,” but faster and more complex; the second scenario is more focused on consumers and is based on an ideal combination of AI and Fast and Flow management; in the third scenario, there is an overflow of technology—AI is too fast, and people are unable to control it. Finally, we are asking what Fast and Flow management can do for a humanistic deployment of AI in enterprises and societies.

Suggested Citation

  • Pernille Rydén & Omar El Sawy, 2022. "Real-Time Management: When AI Goes Fast and Flow," Progress in IS, in: Ahmed Bounfour (ed.), Platforms and Artificial Intelligence, pages 225-243, Springer.
    • Handle: RePEc:spr:prochp:978-3-030-90192-9_11
    DOI: 10.1007/978-3-030-90192-9_11
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