Social Bias Benchmark

Social bias benchmarks are tools used to evaluate and mitigate biases in large language models (LLMs) and other AI systems, focusing on how these models reflect and potentially amplify societal prejudices. Current research emphasizes the development of culturally sensitive and robust benchmarks that account for diverse biases (e.g., gender, emotional, cultural) and avoid introducing unintended biases during dataset creation. This work is crucial for ensuring fairness and equity in AI applications, prompting the development of more reliable methods for assessing and reducing bias in these increasingly influential technologies.