Human-centered explainability for life sciences, healthcare, and medical informatics
- Sanjoy Dey
- Prithwish Chakraborty
- et al.
- 2022
- Patterns
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137 results for Kush R. Varshney
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making
- Charvi Rastogi
- Yunfeng Zhang
- et al.
- 2022
- PACM HCI
Interventional fairness with indirect knowledge of unobserved protected attributes
- Sainyam Galhotra
- Karthikeyan Shanmugam
- et al.
- 2021
- Entropy
Ai explainability 360: An extensible toolkit for understanding data and machine learning models
- Vijay Arya
- Rachel Bellamy
- et al.
- 2020
- JMLR
How data scientists work together with domain experts in scientific collaborations: To find the right answer or to ask the right qestion?
- Yaoli Mao
- Dakuo Wang
- et al.
- 2019
- PACM HCI
Fairness GAN: Generating datasets with fairness properties using a generative adversarial network
- 2019
- IBM J. Res. Dev
FactSheets: Increasing trust in AI services through supplier's declarations of conformity
- Matthew Arnold
- David Piorkowski
- et al.
- 2019
- IBM J. Res. Dev
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
- Rachel Bellamy
- Aleksandra Mojsilovic
- et al.
- 2019
- IBM J. Res. Dev
Teaching AI agents ethical values using reinforcement learning and policy orchestration
- Ritesh Noothigattu
- Djallel Bouneffouf
- 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