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Vieses orto-heterodoxos e os algoritmos economistas do ChatGPT

Iazdi, Oz (2023): Vieses orto-heterodoxos e os algoritmos economistas do ChatGPT.

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Abstract

Recommendations for economic policies can be based on different theoretical perspectives and may present biases that are not always perceptible to the public. Identifying these biases is even more challenging when they are embedded in recommendations coming from sources with high technological and social disruptive potential, where a high level of impartiality is expected, such as contemporary large language models. Thus, a questionnaire was administered to economists affiliated with the Brazilian academic community to assess their perception of the presence of orthodox or heterodox biases in economic policy recommendations derived from interactions with ChatGPT in April 2023. The results showed that: i) there is still no consensus on the concepts of orthodoxy and heterodoxy in Brazil; ii) there are indications of a positive relationship between how self-proclaimed heterodox (orthodox) an economist is and how heterodox (orthodox) the perceived bias in an economic policy is; iii) it was not possible to identify a consistently orthodox or heterodox bias in ChatGPT's recommendations, which exhibited a good degree of impartiality.

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