MIT CCC study found GPT-4, Claude 3 Opus, and Llama 3 provide less accurate and less truthful responses to users with lower English proficiency, less formal education, or who originate from outside the US. Models refuse to answer at higher rates for these users (11% vs 3.6% control), and respond with condescending or patronizing language 43.7% of the time for less-educated users.
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Expert: Elinor Poole-Dayan, Lead Author, MIT Center for Constructive Communication The MIT study tested GPT-4, Claude 3 Opus, and Llama 3 across users with varying English proficiency, education levels, and geographic origins. All three models showed significant accuracy degradation for vulnerable users. Lead author Elinor Poole-Dayan: "That vision cannot become a reality without ensuring model biases are safely mitigated for all users." Co-author Jad Kabbara: "The negative effects compound in concerning ways — models risk spreading harmful behavior downstream to those least able to identify it." Refusal rates were 11% for vulnerable users vs 3.6% for the control group — meaning the AI is more likely to stonewall the very users who most need reliable information. The study was presented at the AAAI Conference on Artificial Intelligence and demonstrates that AI bias is not just about what models say, but who they say it to — and how confidently. Source: https://news.mit.edu/2026/study-ai-chatbots-provide-less-accurate-information-vulnerable-users-0219
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