Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI
- Q. Vera Liao
- Yunfeng Zhang
- et al.
- 2022
- HCOMP 2022
Conference paper
Publications
21 results for Yunfeng Zhang
AI Explainability 360: Impact and Design
- Vijay Arya
- Rachel K. E. Bellamy
- et al.
- 2022
- IAAI 2022
Conference paperDeciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making
- Charvi Rastogi
- Yunfeng Zhang
- et al.
- 2022
- PACM HCI
PaperUncertainty Quantification 360: A Hands-on Tutorial
- Soumya Ghosh
- Q. Vera Liao
- et al.
- 2022
- CODS-COMAD 2022
Conference paperOne Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- Vijay Arya
- Rachel K. Bellamy
- et al.
- 2021
- INFORMS 2021
TalkWhat Changed? Interpretable Model Comparison
- Rahul Nair
- Massimiliano Mattetti
- et al.
- 2021
- IJCAI 2021
Conference paperLeveraging Latent Features for Local Explanations
- Ronny Luss
- Pin-Yu Chen
- et al.
- 2021
- KDD 2021
Conference paperD2S: Automated slide generation with query-based text summarization from documents
- Edward Sun
- Yufang Hou
- et al.
- 2021
- NAACL 2021
Conference paperUncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
- Umang Bhatt
- Javier Antorán
- et al.
- 2021
- AIES 2021
Conference paperIntroduction to AI Fairness
- Yunfeng Zhang
- Rachel Bellamy
- et al.
- 2021
- CHI EA 2021
Conference paper