Social World Knowledge

Social world knowledge research focuses on understanding and modeling how social context influences language and information processing, aiming to create AI systems that are more socially aware and less biased. Current efforts involve developing datasets representing diverse social contexts and benchmarking large language models (LLMs) on tasks assessing their understanding of social nuances, such as humor, sentiment, and cultural artifacts. This research is crucial for mitigating biases in AI systems and improving their ability to interact effectively and ethically with diverse human populations, impacting fields like social science, NLP, and AI ethics.