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ORCIDRachel K. E. Bellamy
- > Home > Persons > Rachel K. E. Bellamy
Publications
- 2022
[c73]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam
, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: Impact and Design. AAAI 2022: 12651-12657- 2021
- [c72]Q. Vera Liao, Moninder Singh, Yunfeng Zhang, Rachel K. E. Bellamy:
Introduction to Explainable AI. CHI Extended Abstracts 2021: 127:1-127:3 - [c71]Yunfeng Zhang, Rachel K. E. Bellamy, Q. Vera Liao, Moninder Singh:
Introduction to AI Fairness. CHI Extended Abstracts 2021: 128:1-128:3 - [c70]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360 Toolkit. COMAD/CODS 2021: 376-379 - [i9]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: Impact and Design. CoRR abs/2109.12151 (2021) - 2020
- [j18]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models. J. Mach. Learn. Res. 21: 130:1-130:6 (2020) - [j17]Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Klaus Mueller:
Explainable Active Learning (XAL): Toward AI Explanations as Interfaces for Machine Teachers. Proc. ACM Hum. Comput. Interact. 4(CSCW3): 1-28 (2020) - [c68]Q. Vera Liao, Moninder Singh, Yunfeng Zhang, Rachel K. E. Bellamy:
Introduction to Explainable AI. CHI Extended Abstracts 2020: 1-4 - [c67]Yunfeng Zhang, Rachel K. E. Bellamy, Moninder Singh, Q. Vera Liao:
Introduction to AI Fairness. CHI Extended Abstracts 2020: 1-4 - [c66]Yunfeng Zhang, Q. Vera Liao, Rachel K. E. Bellamy:
Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making. FAT* 2020: 295-305 - [c65]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI explainability 360: hands-on tutorial. FAT* 2020: 696 - [i8]Yunfeng Zhang, Q. Vera Liao, Rachel K. E. Bellamy:
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making. CoRR abs/2001.02114 (2020) - [i7]Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Klaus Mueller:
Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience. CoRR abs/2001.09219 (2020) - 2019
- [c61]Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor:
Bootstrapping Conversational Agents with Weak Supervision. AAAI 2019: 9528-9533 - [c60]Jonathan Dodge, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Casey Dugan:
Explaining models: an empirical study of how explanations impact fairness judgment. IUI 2019: 275-285 - [i5]Jonathan Dodge, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Casey Dugan:
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment. CoRR abs/1901.07694 (2019) - [i4]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. CoRR abs/1909.03012 (2019) - 2018
- [c58]Ameneh Shamekhi, Q. Vera Liao, Dakuo Wang, Rachel K. E. Bellamy, Thomas Erickson:
Face Value? CHI 2018: 391 - [i2]Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor:
Bootstrapping Conversational Agents With Weak Supervision. CoRR abs/1812.06176 (2018)
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