Tatsunori Hashimoto

schoolStanford Universitybar_chart#6237 Global Rank

Total Papers

HCI Rank

#6237

Research Areas

Years Active

Recent Publications

Jury Learning: Integrating Dissenting Voices into Machine Learning Models

Whose labels should a machine learning (ML) algorithm learn to emulate? For ML tasks ranging from online comment toxicity to misinformation detection to medical diagnosis, different groups in society may have irreconcilable disagreements about ground truth labels. Supervised ML today resolves these label disagreements…

CHI '214th AuthorExplainable AI (XAI) +1

The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality

Machine learning classifiers for human-facing tasks such as comment toxicity and misinformation often score highly on metrics such as ROC AUC but are received poorly in practice. Why this gap? Today, metrics such as ROC AUC, precision, and recall are used to measure technical performance; however, human-computer inter…

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