AI may be making us think and write more alike

Artificial intelligence chatbots are causing a homogenization in how people speak, write, and think, which may reduce humanity’s collective wisdom and adaptability.
Researchers argue that this trend is problematic because it undermines cognitive diversity, which is essential for creativity and problem-solving.
AI large language models (LLMs) trained predominantly on data from Western, educated, industrialized, rich, and democratic societies produce less varied outputs and reflect narrow perspectives.
Diverse reasoning styles and cognitive approaches are diminishing due to the emphasis on linear reasoning favored by AI models, at the expense of more efficient intuitive reasoning.
AI developers are urged to incorporate a more extensive range of real-world diversity into LLM training to preserve human cognitive diversity and improve reasoning capabilities.
The study emphasizes the indirect influence of LLMs on people’s opinions and reasoning, pointing to a risk of conformity to dominant language and perspectives.
Researchers advocate for diversifying LLM approaches to problems and ideas to support collective intelligence and avoid the loss of cognitive diversity.

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