Concepedia

Maria De‐Arteaga

MD

18

Publications

626

Citations

17

H-Index

2013

Active since

Affiliations

The University of Texas at Austin(Current)

Carnegie Mellon University

Microsoft (United States)

Supercon (United States)

Northeastern University

Maria De‐Arteaga is an author at The University of Texas at Austin specializing in engineering, data science, and bias.

Top concepts

EngineeringBiasData ScienceComputer ScienceArtificial IntelligenceMachine LearningKnowledge DiscoveryAlgorithmic FairnessLawLanguage

Publications per year

2013–2025

18

Publications

18

Machine Learning for the Developing World

Maria De‐Arteaga, William Herlands, Daniel B. Neill et al. · ACM Transactions on Management Information Systems · 2018 · 83 citations

Artificial Intelligence, Engineering, Machine Learning +19

What are the Biases in My Word Embedding?

Nathaniel Swinger, Maria De‐Arteaga, Neil T. Heffernan et al. · 2019 · 77 citations

Abuse Detection, Racial Discrimination-are, Engineering +18

Algorithmic fairness in business analytics: Directions for research and practice

Maria De‐Arteaga, Stefan Feuerriegel, Maytal Saar‐Tsechansky · Production and Operations Management · 2022 · 68 citations

Engineering, Business Intelligence, Algorithmic Accountability +27

Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making

Jakob Schoeffer, Maria De‐Arteaga, Niklas Kühl · 2024 · 45 citations · Full text

What's in a Name? Reducing Bias in Bios without Access to Protected Attributes

Alexey Romanov, Maria De‐Arteaga, Hanna Wallach et al. · arXiv (Cornell University) · 2019 · 36 citations · Full text

Engineering, Machine Learning, Biometrics +25

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