Bias Neutralization Framework: Measuring Fairness in Large Language Models with Bias Intelligence Quotient (BiQ)

arXiv:2404.18276v1 Announce Type: new
Abstract: The burgeoning influence of Large Language Models (LLMs) in shaping public discourse and decision-making underscores the imperative to address inherent biases within these AI systems. In the wake of AI's expansive integration across sectors, addressing racial bias in LLMs has never been more critical. This paper introduces a novel framework called Comprehensive Bias Neutralization Framework (CBNF) which embodies an innovative approach to quantifying and mitigating biases within LLMs. Our framework combines the Large Language Model …

abstract ai systems arxiv bias biases cs.ai cs.cl decision discourse fairness framework influence integration intelligence language language models large language large language models llms making measuring public racial racial bias systems type