Confirmation Bias

Confirmation bias, the tendency to favor information confirming pre-existing beliefs, significantly impacts various fields, from scientific research to machine learning. Current research focuses on mitigating this bias in machine learning models, particularly in semi-supervised learning and large language models, using techniques like debiased training, counterfactual prompting, and refined pseudo-labeling methods to improve accuracy and fairness. Understanding and addressing confirmation bias is crucial for enhancing the reliability of scientific findings and the trustworthiness of AI systems, leading to more robust and unbiased outcomes in diverse applications.