Introduction to AI Fairness
- Yunfeng Zhang
- Rachel Bellamy
- et al.
- 2021
- CHI EA 2021
Publications
21 results for Yunfeng Zhang
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML
- Shweta Narkar
- Yunfeng Zhang
- et al.
- 2021
- IUI 2021
Model Agnostic Multilevel Explanations
- Karthikeyan Natesan Ramamurthy
- Bhanukiran Vinzamuri
- et al.
- 2020
- NeurIPS 2020
Human Cognitive Biases in Interpreting Machine Learning
- Charvi Rastogi
- Yunfeng Zhang
- et al.
- 2020
- INFORMS 2020
Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
- Michael Hind
- Dennis Wei
- et al.
- 2020
- ICML 2020
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
- Rachel Bellamy
- Aleksandra Mojsilovic
- et al.
- 2019
- IBM J. Res. Dev
Think Your Artificial Intelligence Software Is Fair? Think Again
- Rachel Bellamy
- Kuntal Dey
- et al.
- 2019
- IEEE Software
Explaining models: An empirical study of how explanations impact fairness judgment
- Jonathan Dodge
- Q. Vera Liao
- et al.
- 2019
- IUI 2019
Bootstrapping conversational agents with weak supervision
- Neil Mallinar
- Abhishek Shah
- et al.
- 2019
- AAAI 2019
Knock knock, What's there: Converting passive objects into customizable smart controllers
- Lei Shi
- Maryam Ashoori
- et al.
- 2018
- MobileHCI 2018