Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III

This article from Practical AI discusses Hal Daumé III's research on bias, fairness, and NLP. It highlights the intersection of language and machine learning, focusing on how language is used to interact with the world and how it functions within machine learning models. The interview likely delves into the complexities of NLP systems, potentially exploring biases embedded in language data and their impact on model performance and fairness. The article's focus suggests an examination of the ethical and practical implications of language technology.

• •The article explores the impact of language on machine learning models.
• •It discusses bias and fairness in NLP systems.
• •The research focuses on how language is used in interaction and within models.