Communication
Version 1
Preserved in Portico This version is not peer-reviewed
Revisiting the Political Biases of ChatGPT
Version 1
: Received: 20 May 2023 / Approved: 23 May 2023 / Online: 23 May 2023 (03:18:22 CEST)
Version 2 : Received: 23 May 2023 / Approved: 24 May 2023 / Online: 24 May 2023 (04:13:04 CEST)
Version 3 : Received: 25 May 2023 / Approved: 26 May 2023 / Online: 26 May 2023 (07:37:33 CEST)
Version 2 : Received: 23 May 2023 / Approved: 24 May 2023 / Online: 24 May 2023 (04:13:04 CEST)
Version 3 : Received: 25 May 2023 / Approved: 26 May 2023 / Online: 26 May 2023 (07:37:33 CEST)
A peer-reviewed article of this Preprint also exists.
Fujimoto S and Takemoto K (2023) Revisiting the political biases of ChatGPT. Front. Artif. Intell. 6:1232003. doi: 10.3389/frai.2023.1232003 Fujimoto S and Takemoto K (2023) Revisiting the political biases of ChatGPT. Front. Artif. Intell. 6:1232003. doi: 10.3389/frai.2023.1232003
Abstract
Although ChatGPT promises wide-ranging applications, there is a concern that it is politically biased; in particular, it has a left-libertarian orientation. Nevertheless, in light of recent trends in attempts to reduce such biases, this study re-evaluated the political biases of ChatGPT using political orientation tests and the application programming interface. Moreover, the effects of the languages used in the system as well as gender and race settings were evaluated. The results indicated that ChatGPT had less political bias than previously thought; however, they did not entirely discount the political bias. The languages used in the system and the gender and race settings may induce political biases. These findings enhance our understanding of the political biases of ChatGPT and may be useful for bias evaluation and designing ChatGPT’s operational strategy.
Keywords
ChatGPT; algorithm bias; political bias; large language model
Subject
Social Sciences, Other
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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