Big Data, Machine Learning, and the Social Sciences: Fairness, Accountability, and Transparency

By Hanna M. Wallach. 2019

20 citations recorded by the source corpus.

How researchers see this paper

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

1. Alexandra Olteanu
2. Carlos Castillo
3. Emre Kiciman
4. Brian N. Larson
5. Muhammad Imran
6. Fernando Diaz
7. Jing Ma
8. Kai Shu

Citations in the corpus

• Gender as a Variable in Natural-Language Processing: Ethical Considerations (2017, background): “Consider, for example, Hardt (2014) and Wallach (2014), and the group of researchers and practitioners behind FAT-ML (FAT-ML, nd).”
• A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2018, background): “Other resources we recommend: books [29, 33], talks and tutorials [1, 9, 15, 36], and several overview papers [4, 25, 31, 35].”