Elissa M. Redmiles

AI Ethics, Fairness & Society · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• AI Ethics, Fairness & Society — 17 citations into it

Whom Elissa M. Redmiles trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Hirotugu Akaike
2. Panagiotis G. Ipeirotis
3. Bradley Efron

Who trusts Elissa M. Redmiles overall

1. Dana Pessach
2. Nripsuta Ani Saxena
3. Javier Antorán

Papers from Elissa M. Redmiles's perspective

Ordered by how strongly the researchers Elissa M. Redmiles trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fairness through awareness
2. Counterfactual Fairness (Neural Information Processing Systems)
3. Learning Fair Representations
4. Inherent Trade-Offs in the Fair Determination of Risk Scores
5. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
6. Scikit-learn: Machine Learning in Python
7. Discrimination in online ad delivery
8. Fair Inference on Outcomes
9. Avoiding Discrimination through Causal Reasoning
10. Exposing the probabilistic causal structure of discrimination

Their papers

• Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction (2018) — 250 citations
• Exploring User Perceptions of Discrimination in Online Targeted Advertising (2017) — 70 citations