AI More Likely Than Humans to Develop Biases in Hiring
AI systems are developing biases in hiring that could surpass human biases. New research sheds light on this concerning trend.
Recent research indicates that AI systems, particularly large language models (LLMs), are more prone to develop biases in hiring compared to humans. Conducted by researchers from Princeton University and the University of Chicago, the study revealed that LLMs can generalize from limited data, leading to biased hiring decisions based on early outcomes. This tendency raises concerns as AI increasingly participates in screening candidates and making hiring decisions.