Asim Karim

Artificial Intelligence · 2012–2016

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #8,617 of 35,345 by trust here, #11,490 by citations
• AI Ethics, Fairness & Society — 19 citations into it; #90 of 494 by trust here, #160 by citations
• Safety Research — 16 citations into it; #1,087 of 5,829 by trust here, #2,001 by citations
• Safety, Robustness & Interpretability — 13 citations into it
• Statistics and Probability — 10 citations into it; #7,837 of 12,932 by trust here, #4,650 by citations
• Sociology and Political Science — 8 citations into it
• Causal Inference & Discovery — 6 citations into it; #179 of 364 by trust here, #144 by citations
• Economics and Econometrics — 5 citations into it

Whom Asim Karim trusts overall

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

1. Toon Calders
2. Faisal Kamiran
3. Indrė Žliobaitė
4. Toshihiro Kamishima
5. Salvatore Ruggieri
6. Sicco Verwer
7. Greg Ridgeway
8. Peter C. Austin
9. Paul R. Rosenbaum
10. Dino Pedreschi

Who trusts Asim Karim overall

1. Indrė Žliobaitė
2. Asmita Kashid
3. Luca Oneto
4. Sara Hajian
5. Silvia Chiappa
6. Niels Bantilan
7. Simon Caton
8. Salvatore Ruggieri
9. Vrushali Kulkarni
10. Muhammad Bilal Zafar

Papers from Asim Karim's perspective

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

1. Fairness-Aware Classifier with Prejudice Remover Regularizer
2. Three naive Bayes approaches for discrimination-free classification
3. A multidisciplinary survey on discrimination analysis
4. Discrimination in online ad delivery
5. Causality : Models , Reasoning , and Inference
6. Data mining for discrimination discovery
7. A Meta-Analysis of the International Gender Wage Gap (Social Science Research Network)
8. Exposing the probabilistic causal structure of discrimination
9. Controlling Bias in Observational Studies: A Review.
10. Big Data's Disparate Impact

Their papers

• Controlling Attribute Effect in Linear Regression (2013) — 159 citations
• Causal Discrimination Discovery Through Propensity Score Analysis (2016) — 19 citations
• Decision Theory for Discrimination-Aware Classification (2012) — 381 citations