Identity Group

Research on identity groups focuses on understanding how social categories influence interactions and representations within digital spaces and AI systems. Current work investigates biases in natural language processing tools and text-to-image generation models, employing techniques like named entity recognition and algorithmic audits to identify and quantify these biases across various identity dimensions (gender, race, nationality, etc.). This research is crucial for mitigating harmful stereotypes and promoting fairness in AI, impacting areas like content moderation, sentiment analysis, and the development of more equitable AI applications.