2 papers
cs.LG2026
What You Read is What You Classify: Highlighting Attributions to Text and Text-Like Inputs
Daniel S. Berman, Brian Merritt, Stanley Ta +4
At present, there are no easily understood explainable artificial intelligence (AI) methods for discrete token inputs, like text. Most explainable AI techniques do not extend well…
cs.LG2025
CaTE Data Curation for Trustworthy AI
Mary Versa Clemens-Sewall, Christopher Cervantes, Emma Rafkin +6
This report provides practical guidance to teams designing or developing AI-enabled systems for how to promote trustworthiness during the data curation phase of development. In thi…