Algorithmic Bias and Risk Assessments: Lessons from Practice

By Ali Hasan, S. Brown, Jovana Davidović, Benjamin Lange, M. Regan. 2022

24 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Health Informatics, Safety Research, Safety, Robustness & Interpretability

How researchers see this paper

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

In Artificial Intelligence

1. Quoc V. Le
2. Luke S. Zettlemoyer
3. Mohit Bansal
4. Yi Tay
5. Jianfeng Gao
6. Percy Liang
7. Graham Neubig
8. Noah A. Smith

In Safety Research

1. Denny Zhou
2. Jason Wei
3. Quoc V. Le
4. Yi Tay
5. Shixiang Shane Gu
6. Ed H. Chi

In Safety, Robustness & Interpretability

1. Shixiang Shane Gu
2. Quoc V. Le
3. Jason Wei
4. Xinyun Chen
5. Yi Tay
6. Adam Roberts
7. Ed H. Chi
8. Barret Zoph

Citations in the corpus

• Scaling Instruction-Finetuned Language Models (2022, background): “, 2022), and anticipate risks specific to their application context (Hasan et al., 2022; Brey, 2012).”