Causation in Antidiscrimination Law: Beyond Intent Versus Impact
By Sheila Rose Foster. 2004
30 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.
- Lu Zhang
- Yongkai Wu
- Xintao Wu
- Dino Pedreschi
- Silvia Chiappa
- Sara Hajian
- Fosca Giannotti
- Francesco Bonchi
Citations in the corpus
- Achieving Non-Discrimination in Data Release (2016, background): “Discrimination refers to unjustified distinctions of individuals based on their membership in a certain group.”
- Exposing the probabilistic causal structure of discrimination (2015, background): “Although these definitions do not directly imply causation, as stated in [9] all discrimination claims require plaintiffs to demonstrate a causal connection between the challenged outcome and a protected status characteristic.”
- Open the Black Box Data-Driven Explanation of Black Box Decision Systems (2018, background): “This is a central problem when correlation is not enough, e.g., in the context of discrimination litigation [15].”
- Situation Testing-Based Discrimination Discovery: A Causal Inference Approach (2016, background): “Typically, a discrimination claim means demonstrating a direct causal connection between protected attribute C and decision attribute E [Foster, 2004].”