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From Helping Hand to Stumbling Block: The ChatGPT Paradox in Competency Experiment

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  • Duk Gyoo Kim
  • Ahram Moon

Abstract

We ran a controlled laboratory experiment to examine whether ChatGPT’s aid can increase the participants’ performance in three different—reading and writing, mathematical problem-solving, and computational thinking—tasks. We find that the math score significantly decreases with ChatGPT’s assistance. This result is mainly because the low-ability subjects couldn’t discern the hallucinated answers with the correct ones, and it contests the general idea that ChatGPT can complement the workers with less expertise.

Suggested Citation

  • Duk Gyoo Kim & Ahram Moon, 2024. "From Helping Hand to Stumbling Block: The ChatGPT Paradox in Competency Experiment," CESifo Working Paper Series 11002, CESifo.
    • Handle: RePEc:ces:ceswps:_11002
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    File URL: https://www.cesifo.org/DocDL/cesifo1_wp11002.pdf
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    References listed on IDEAS

    as
    1. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
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    More about this item

    Keywords

    laboratory experiment; ChatGPT; labor productivity;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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