One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- Vijay Arya
- Rachel K. Bellamy
- et al.
- 2021
- INFORMS 2021
Talk
Publications
55 results for John Richards
SIGCHI Lifetime Practice Award Talk: Usability Barriers and How to Overcome Them
- John Richards
- 2021
- CHI EA 2021
Conference paperPerfection Not Required? Human-AI Partnerships in Code Translation
- Justin Weisz
- Michael Muller
- et al.
- 2021
- IUI 2021
Conference paperHow Data Scientists Improve Generated Code Documentation in Jupyter Notebooks
- Michael Muller
- April Yi Wang
- et al.
- 2021
- IUI 2021
Workshop paperThe sanction of authority: Promoting public trust in AI
- Bran Knowles
- John Richards
- 2021
- FAccT 2021
Conference paperQuality Estimation & Interpretability for Code Translation
- Mayank Agarwal
- Kartik Talamadupula
- et al.
- 2020
- NeurIPS 2020
Workshop paperAi explainability 360: An extensible toolkit for understanding data and machine learning models
- Vijay Arya
- Rachel Bellamy
- et al.
- 2020
- JMLR
PaperExperiences with improving the transparency of AI models and services
- Michael Hind
- Stephanie Houde
- et al.
- 2020
- CHI EA 2020
Conference paperBusiness (mis)use cases of generative AI
- Stephanie Houde
- Vera Liao
- et al.
- 2020
- HAI-GEN+user2agent 2020
Conference paperAI Explainability 360 Toolkit
- Vijay Arya
- Rachel Bellamy
- et al.
- 2021
- CODS-COMAD 2021
Conference paper