Bias Also Matters: Bias Attribution for Deep Neural Network Explanation

By Shengjie Wang, Tianyi Zhou, J. Bilmes. 2019

42 citations recorded by the source corpus.

Subfields: AI Ethics, Fairness & Society

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Khansa Rasheed
2. Junaid Qadir
3. Ala Al-Fuqaha
4. Mohamed Ghaly
5. Adeel Razi
6. Adnan Qayyum
7. M. Mohammadi
8. Cecilia Ka Yuk Chan

Citations in the corpus

• Explainable, trustworthy, and ethical machine learning for healthcare: A survey (2021, background): “In addition, the inherent bias in the input (medical) data (e.g., class imbalance) can be reflected in the model’s outputs i.e., model might prefer a specific class as compared to other classes and this bias might influence the explanations of the model [170].”
• Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey (2020, unknown): “Additionally, in [116], Wang et al.”