Field of Study:

Discrimination Analysis refers to the study and evaluation of biases and discrimination that may be present texts or in language models. It involves identifying and addressing issues such as gender, racial, or cultural biases that can be inadvertently learned and propagated by AI systems. The goal is to ensure fairness, transparency, and accountability in NLP systems, and to prevent the perpetuation of harmful stereotypes or discriminatory practices.