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Kai-Wei Chang
Latest
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies (2024, NAACL Findings)
“I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation (ACM FAccT, 2023)
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness
Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN
Harms of gender exclusivity and challenges in non-binary representation in language technologies
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness
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