AI chatbots hesitant to recommend change
A new study of multiple large language models (LLMs) found that when users asked chatbots for advice, they were more likely to make suggestions that favour the status quo over alternatives. The tendency of artificial intelligence to default to more common advice could be bad news for the climate.
Researchers from the University of Waterloo assessed 11 LLMs for their tendency to prefer existing conditions over change, known as status quo bias. Well-known in psychology research, this is the first paper to apply the concept to climate advice from LLMs. The team evaluated more than 7,500 queries spanning multiple domains, including vehicle purchases, recipes, home heating, and climate-relevant policy trade-offs. Each of these queries was tested on at least six different LLMs for a total of nearly 55,000 prompts. Where climate trade-offs are possible in policy, platforms reinforced decisions the user already made with double the frequency.