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

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.

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Publication Details

Journal
Econstor (Econstor)
Published
2025-01-01
DOI
https://doi.org/10.56250/4060
Primary Topic
Innovation, Technology, and Society
Type
article
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article

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

Sonja Würtemberger, Thomas Baum
Econstor (Econstor)
Innovation, Technology, and Society
article

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

Sonja Würtemberger, Thomas Baum
article en

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.

Econstor (Econstor)
Systems, Applications & Products in Data Processing (United States) (US), Systems, Applications & Products in Data Processing (Germany) (DE), IU International University of Applied Sciences (DE)
Innovation, Technology, and Society
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Künstliche Intelligenz und Jobs: Eine Untersuchung aus der Perspektive der Theorien zur beschränkten Rationalität — Sonja Würtemberger, Thomas Baum · Econstor (Econstor) (2025) | TGRS Research Map | TGRS