GPT in the Loop: Evidence from the Field.
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Date
2024-01-03
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4343
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Abstract
Generative Pre-trained Transformers (GPTs) are highly effective in generating content and increasing productivity, but companies have reservations about their use in a professional setting. OpenAI and policymakers suggest that disclosing the use of GPT is necessary, but there is little empirical evidence to understand its consequence. Our experiment found that managers from a leading consulting firm were unable to distinguish Human-GPT generated content when the content generation source was not disclosed and disclosing the use of GPT improved the content's evaluation. We explored the effects of applying the GPT disclosure policy in the workplace. Managers prefer analysts to disclose their use of GPT, but their preferences regarding how junior analysts should use GPT may differ from that of the analysts, leading to potential conflicts over disclosure.
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Economic and Societal Impacts of Technology, Data, and Algorithms, content evaluation, experiment, gpt disclosure, human-gpt collaboration
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10 pages
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Proceedings of the 57th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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