Technology

AI chatbots show left-wing bias, bombshell report finds — with ChatGPT giving lefty answers 80% of time

A new report has exposed a worrying trend in AI chatbots, revealing a strong left-leaning bias in their responses to a range of questions.

**The Data Speaks for Itself**
Researchers analyzed the responses of four popular chatbots, including ChatGPT, to a series of queries on issues like Diversity, Equity, and Inclusion (DEI), LGBTQ+ rights, and climate change. The results are striking, with 80% of responses from ChatGPT showing a left-wing bias.

The research team, led by John S. Wilmoth, director of the Center on Aging and Policy at Duke University, used a dataset of 2,000 questions to assess the chatbots’ responses. They found that the AI systems consistently leaned left on issues like climate change mitigation and LGBTQ+ rights, while also exhibiting a bias in favor of progressive economics and social policies.

While the report’s findings may come as a surprise to some, they’re not entirely unexpected given the cultural context in which many AI systems are trained. Chatbots like ChatGPT are often fed massive amounts of text data, which can introduce biases and reflect the worldviews of their creators.

**What this means**
The implications of this report are significant, particularly for users of AI-powered customer service systems, mental health chatbots, and other applications where users may be relying on AI for guidance or support. If these chatbots are perpetuating a left-wing bias, users may not be getting the unbiased information they expect.

**A Wake-Up Call for AI Developers**
The report’s findings are a timely reminder that AI systems are only as good as the data they’re trained on. It’s not enough for developers to simply claim that their chatbots are neutral or unbiased – the evidence speaks for itself. As AI becomes increasingly ubiquitous in our lives, it’s essential that developers prioritize transparency and accountability in their work.

The report’s authors are calling for greater attention to be paid to the issue of bias in AI systems, and for developers to take steps to mitigate these biases. With the use of AI expected to continue growing in the years ahead, this is a conversation that’s long overdue.

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