Sorelle A. Friedler - Concepedia

Author

Sorelle A. Friedler

Also Known As

Friedler, Sorelle, Friedler, Sorelle A., Metaxa, Danaé, Sorelle A. Friedler, Sorelle Friedler, Warr, Madelyn J, danah boyd

Publications

6.2K

Citations

H-Index

100

Concepts

All Affiliations

Haverford College University of Utah University of Arizona Fordham University University of Maryland, College Park

About

Sorelle A. Friedler is an author at Haverford College specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	18	3.5K
2	Management	7	7	1.6K
3	Law	6	6	2.3K
4	Business	2	2	372
5	Education	2	2	1.7K

Sorelle A. Friedler

Publications

5.8K

Citations

H-Index

Page 1

	Year	Citations
Certifying and Removing Disparate Impact Michael Feldman, Sorelle A. Friedler, John Moeller, Protected ClassDiscriminationLawEducationDiscrimination Law	2015	1.7K
Machine-learning-assisted materials discovery using failed experiments Paul Raccuglia, Katherine C. Elbert, Philip Adler, Nature Materials ScienceDiscovery TechniqueEngineeringMachine LearningData Science	2016	1.6K
Fairness and Abstraction in Sociotechnical Systems Andrew D. Selbst, danah boyd, Sorelle A. Friedler, Artificial IntelligenceSociotechnical SystemsComputational Social ScienceEngineeringData Science	2019	1.1K
On the (im)possibility of fairness Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian arXiv (Cornell University) Decision SpaceData ScienceAlgorithmic BiasBiasDiscrimination	2016	263
The (Im)possibility of fairness Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian Communications of the ACM BiasDiscriminationAlgorithmic FairnessFair Resource AllocationLaw	2021	234
Runaway Feedback Loops in Predictive Policing Danielle Ensign, Sorelle A. Friedler, Scott Neville, arXiv (Cornell University) Artificial IntelligenceRunaway FeedbackPublic PolicyEngineeringMachine Learning	2017	122
Problems with Shapley-value-based explanations as feature importance measures I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningGame TheoryModel-based Reasoning	2020	109
Runaway Feedback Loops in Predictive Policing Danielle Ensign, Sorelle A. Friedler, Scott Neville, Artificial IntelligenceRunaway FeedbackPublic PolicyEngineeringMachine Learning	2018	84
Experiment Specification, Capture and Laboratory Automation Technology (ESCALATE): a software pipeline for automated chemical experimentation and data management Ian M. Pendleton, Gary Cattabriga, Zhi Li, MRS Communications EngineeringSoftware EngineeringSimulationExperiment SpecificationSoftware Pipeline	2019	74
A comparative study of fairness-enhancing interventions in machine learning Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Fairness-enhanced ClassifiersComputational Social ScienceEngineeringMachine LearningData Science	2019	54

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