People are inherently biased. Are machines running artificial intelligence (AI) large language models (LLMs) biased too? A new Harvard University study reveals that LLMs are biased like people and make character assumptions on competence and trustworthiness based on facial features.
“Contrary to the promise of enhancing human decisions, these findings expose the recklessness of using language models in selection contexts,” wrote Mahzarin Banaji, Steven Lehr, and Yash Lothe, who conducted the study that was recently published in PNAS Nexus, a journal by the Proceedings of the National Academy of Sciences (PNAS).
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