One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- Vijay Arya
- Rachel K. Bellamy
- et al.
- 2021
- INFORMS 2021
Publications
41 results for Stephanie Houde
Perfection Not Required? Human-AI Partnerships in Code Translation
- Justin Weisz
- Michael Muller
- et al.
- 2021
- IUI 2021
How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks
- Michael Muller
- April Yi Wang
- et al.
- 2021
- IUI 2021
Quality Estimation & Interpretability for Code Translation
- Mayank Agarwal
- Kartik Talamadupula
- et al.
- 2020
- NeurIPS 2020
Ai explainability 360: An extensible toolkit for understanding data and machine learning models
- Vijay Arya
- Rachel Bellamy
- et al.
- 2020
- JMLR
Experiences with improving the transparency of AI models and services
- Michael Hind
- Stephanie Houde
- et al.
- 2020
- CHI EA 2020
Business (mis)use cases of generative AI
- Stephanie Houde
- Vera Liao
- et al.
- 2020
- HAI-GEN+user2agent 2020
AI Explainability 360 Toolkit
- Vijay Arya
- Rachel Bellamy
- et al.
- 2021
- CODS-COMAD 2021
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