Introduction to AI Fairness
- Yunfeng Zhang
- Rachel Bellamy
- et al.
- 2021
- CHI EA 2021
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21 results for Yunfeng Zhang
Introduction to Explainable AI
- Q. Vera Liao
- Moninder Singh
- et al.
- 2021
- CHI EA 2021
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML
- Shweta Narkar
- Yunfeng Zhang
- et al.
- 2021
- IUI 2021
Explaining models: An empirical study of how explanations impact fairness judgment
- Jonathan Dodge
- Q. Vera Liao
- et al.
- 2019
- IUI 2019
Knock knock, What's there: Converting passive objects into customizable smart controllers
- Lei Shi
- Maryam Ashoori
- et al.
- 2018
- MobileHCI 2018
Towards an optimal dialog strategy for information retrieval using both open- and close-ended questions
- Yunfeng Zhang
- Q. Vera Liao
- et al.
- 2018
- IUI 2018
One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- 2021
- INFORMS 2021
Human Cognitive Biases in Interpreting Machine Learning
- Charvi Rastogi
- Yunfeng Zhang
- et al.
- 2020
- INFORMS 2020
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making
- Charvi Rastogi
- Yunfeng Zhang
- et al.
- 2022
- PACM HCI
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
- Rachel Bellamy
- Aleksandra Mojsilovic
- et al.
- 2019
- IBM J. Res. Dev