Study reveals political bias in ChatGPT (?)

The recent study conducted by researchers from the UK and Brazil has raised concerns about the objectivity of ChatGPT. The study found that ChatGPT’s responses tend to display a noticeable political bias, leaning towards the left side of the political spectrum. This bias has the potential to reinforce existing biases in traditional media, influencing various stakeholders such as policymakers, media outlets, political groups, and educational institutions.

Addressing this bias in ChatGPT was the focus of a study conducted by a team of researchers from the UK and Brazil. They analysed ChatGPT’s responses to political compass questions and scenarios in which the AI model impersonated both a Democrat and a Republican. Through an empirical approach, the researchers determined that the bias in ChatGPT’s responses was not a result of mechanical errors but rather a deliberate tendency in its output. They examined both the training data and the algorithm, concluding that both factors likely contributed to the biassed responses.

The study revealed a significant bias in ChatGPT’s responses, particularly in favour of perspectives aligned with the Democratic party. This bias was not limited to the United States but was also evident in responses related to Brazilian and British political contexts. The research highlighted the potential implications of biassed AI-generated content for various stakeholders and emphasised the need for further investigation into the sources of bias.

Why does it matter?

Addressing biases in AI models is essential to prevent the perpetuation of existing biases and uphold principles of objectivity and neutrality. As AI technologies continue to advance and play a growing role in various sectors, collaborative efforts among developers, researchers, and stakeholders are crucial in minimizing biases and promoting ethical AI development. The study underscores concerns about the political bias in ChatGPT’s responses and calls for ongoing efforts to ensure fairness and objectivity in AI technologies as they become increasingly prevalent in society.