AI Language Models Narrow the Range of Human Thought
A USC-led study reviewing 130+ papers finds that large language models, though trained on vast human data, tend to output less diverse content than humans and mirror dominant languages and ideologies. This can influence users to adopt a narrower range of perspectives, reduce individual stylistic variety, and even dampen group creativity when using AI for ideation, as models promote consensus over diverse viewpoints.
