Diversity Awareness

Diversity awareness in artificial intelligence focuses on mitigating biases and enhancing the fairness and inclusivity of AI systems by addressing the underrepresentation of diverse populations in data and models. Current research emphasizes developing metrics to quantify diversity in synthetic datasets and generated outputs, employing techniques like contrastive learning and diffusion models to improve diversity in generated content, and adapting large language models to better represent diverse linguistic and cultural contexts. This work is crucial for ensuring the responsible development and deployment of AI, preventing discriminatory outcomes, and promoting equitable access to AI benefits across diverse populations.