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Künstliche Intelligenz und Jobs: Eine Untersuchung aus der Perspektive der Theorien zur beschränkten Rationalität

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  • Würtemberger, Sonja
  • Villalobos Baum, Tatiana

Abstract

Since the introduction of ChatGPT in November 2022, the societal debate on the impact of artificial intelligence (AI) on the labor market has intensified. Advances in data processing technology have long been seen as drivers of productivity, significantly influencing businesses worldwide. This study examines why AI is regarded as a major disruptive force in the workplace and how its impact can be measured. The theory of "Bounded Rationality" (BR) serves as the theoretical framework to analyze how AI transforms decision-making and problem-solving processes in organizations, particularly in areas where human judgment has traditionally played a crucial role. After an introduction to the fundamental workings of AI, the study explores the BR theory and its various developments that shape the extent of AI's influence including coded bias. The goal is to provide a deeper understanding of how AI affects human rationality in decision-making and what implications this has for future workplace structures.

Suggested Citation

  • Würtemberger, Sonja & Villalobos Baum, Tatiana, 2025. "Künstliche Intelligenz und Jobs: Eine Untersuchung aus der Perspektive der Theorien zur beschränkten Rationalität," IU Discussion Papers - Human Resources 5 (Juli 2025), IU International University of Applied Sciences.
  • Handle: RePEc:zbw:iubhhr:323241
    DOI: 10.56250/4060
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    References listed on IDEAS

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    1. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    2. Daniel Kahneman, 2003. "Maps of Bounded Rationality: Psychology for Behavioral Economics," American Economic Review, American Economic Association, vol. 93(5), pages 1449-1475, December.
    3. Lingnau, Volker, 2006. "Controlling - ein kognitionsorientierter Ansatz," Beiträge zur Controlling-Forschung 4, Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU), Lehrstuhl für Unternehmensrechnung und Controlling.
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    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General

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