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Algorithms, Possibilities and Limits

In: Digitalization and Artificial Intelligence

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  • Thomas Schneider

Abstract

Artificial intelligence is the science of algorithms that enable computers to map intelligent behavior. Controlling should know the strengths and weaknesses, possibilities and limitations of algorithms. The “blindness” of algorithms, that is, the complete ignoring of irrelevant factors, is an advantage. However, this does not apply to all decisions. Algorithms cannot distinguish between complication and complexity. An airplane is complicated, yet linear. You can control it precisely because cause and effect are clearly related. Companies, on the other hand, are complex. Cause and effect cannot always be precisely determined and are not always linear. The problem: Managers who have mastered complicated systems think they can transfer the recipes for success to complex systems and control mechanically. Digital instruments can tempt people to accept a complicated answer to a complex question.

Suggested Citation

  • Thomas Schneider, 2023. "Algorithms, Possibilities and Limits," Springer Books, in: Digitalization and Artificial Intelligence, chapter 5, pages 21-31, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-40383-6_5
    DOI: 10.1007/978-3-658-40383-6_5
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