AI Chatbots Exhibit Status Quo Bias, Potentially Hindering Climate Action
A new study conducted by researchers at the University of Waterloo has revealed that large language models (LLMs), commonly known as AI chatbots, tend to favor the status quo when providing advice, particularly concerning climate-relevant issues. The study, which assessed 11 different LLMs through over 7,500 queries and nearly 55,000 prompts, found that these AI systems are more likely to recommend existing conditions over alternatives. This bias was most pronounced in policymaking, where models approved plans already in place 70% of the time, but only agreed to new plans or policies 34% of the time. Even when considering regional patterns, such as the high adoption rate of electric vehicles (EVs) in Norway, chatbots recommended EVs less frequently than their actual sales pace in those countries. The research indicates that LLMs are operating at a slower pace of change than what is necessary for effective climate action, reinforcing decisions users have already made with double the frequency in climate pol...