Introduction to Explainable AI
- Q. Vera Liao
- Moninder Singh
- et al.
- 2021
- CHI EA 2021
Conference paper
Publications
82 results for Rachel Bellamy
Introduction to AI Fairness
- Yunfeng Zhang
- Rachel Bellamy
- et al.
- 2021
- CHI EA 2021
Conference paperTowards Designing Conversational Agents for Pair Programming: Accounting for Creativity Strategies and Conversational Styles
- Sandeep Kaur Kuttal
- Jarow Myers
- et al.
- 2020
- VL/HCC 2020
Conference paperCan Machine Learning Facilitate Remote Pair Programming? Challenges, Insights Implications
- Peter Robe
- Sandeep Kaur Kuttal
- et al.
- 2020
- VL/HCC 2020
Conference paperAi explainability 360: An extensible toolkit for understanding data and machine learning models
- Vijay Arya
- Rachel Bellamy
- et al.
- 2020
- JMLR
PaperIntroduction to AI fairness
- Yunfeng Zhang
- Rachel Bellamy
- et al.
- 2020
- CHI EA 2020
Conference paperIntroduction to explainable AI
- Q. Vera Liao
- Moninder Singh
- et al.
- 2020
- CHI EA 2020
Conference paperJoint optimization of AI fairness and utility: A human-centered approach
- Yunfeng Zhang
- Rachel Bellamy
- et al.
- 2020
- AIES 2020
Conference paperEffect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making
- Yunfeng Zhang
- Q. Vera Liao
- et al.
- 2020
- FAccT 2020
Conference paperAI Explainability 360 Toolkit
- Vijay Arya
- Rachel Bellamy
- et al.
- 2021
- CODS-COMAD 2021
Conference paper