Data Fairness and Human Language Technology Research
Explore the critical intersection of data fairness and human language technology research in this 57-minute conference talk by Denise DiPersio, presented at JSALT 2023. Delve into the ethical considerations and challenges surrounding data usage in language technology development. Gain insights into the importance of fairness in data collection, annotation, and application within the field of computational linguistics. Examine case studies and best practices for ensuring equitable representation and mitigating bias in language datasets. Learn about the latest approaches to promoting diversity and inclusivity in human language technology research. Understand the implications of data fairness on the development of more ethical and representative language models and applications.