Evolution of Evaluation in Natural Language Processing and Bias

Exploring the evolution of evaluation methods in academia and various sectors, with a focus on natural language processing and bias. The chapter emphasizes investment in AI ethics and highlights challenges in assessing representational harms linked to gender markers in language models.