Journal Papers

2019

Fairness in online social network timelines: Measurements, models and mechanism design, in Performance Evaluation

2018

Model-based and actual independence for fairness-aware classification, in Data Mining and Knowledge Discovery, 2018
Search bias quantification: investigating political bias in social media and web search, in Information Retrieval Journal, 2018
Fairness in Criminal Justice Risk Assessments: The State of the Art, in Sociological Methods & Research, 2018
Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis, in IEEE Journal of Selected Topics in Signal Processing, 2018
Causal Modeling-Based Discrimination Discovery and Removal: Criteria, Bounds, and Algorithms, in IEEE Transactions on Knowledge and Data Engineering, 2018

2017

Conscientious Classification: A Data Scientist’s Guide to Discrimination-Aware Classification, in Big Data, 2017
Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments, in Big Data, 2017
Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data, in Big Data & Society, 2017
Fair, Transparent, and Accountable Algorithmic Decision-making Processes, in Philosophy & Technology, 2017
Measuring discrimination in algorithmic decision making, in Data Mining and Knowledge Discovery, 2017
Exposing the probabilistic causal structure of discrimination, in International Journal of Data Science and Analytics, 2017
Algorithmic Decision-Making Based on Machine Learning from Big Data: Can Transparency Restore Accountability?, in Philosophy & Technology, 2017

2016

Using sensitive personal data may be necessary for avoiding discrimination in data-driven decision models, in Artificial Intelligence and Law, 2016

2015

Balancing Fairness and Efficiency: The Impact of Identity-Blind and Identity-Conscious Accountability on Applicant Screening, in PLOS ONE, 2015
Discrimination- and privacy-aware patterns, in Data Mining and Knowledge Discovery, 2015

2014

A multidisciplinary survey on discrimination analysis, in The Knowledge Engineering Review, 2014
Generalization-based privacy preservation and discrimination prevention in data publishing and mining, in Data Mining and Knowledge Discovery, 2014
Combating discrimination using Bayesian networks, in Artificial Intelligence and Law, 2014
Better decision support through exploratory discrimination-aware data mining: foundations and empirical evidence, in Artificial Intelligence and Law, 2014
Using t-closeness anonymity to control for non-discrimination, in Transactions on Data Privacy, 2014
Introduction to special issue on computational methods for enforcing privacy and fairness in the knowledge society, in Artificial Intelligence and Law, 2014
Responsibly Innovating Data Mining and Profiling Tools: A New Approach to Discrimination Sensitive and Privacy Sensitive Attributes, in Responsible Innovation 1, in 2014

2013

A Methodology for Direct and Indirect Discrimination Prevention in Data Mining, in IEEE Transactions on Knowledge and Data Engineering, 2013
Quantifying explainable discrimination and removing illegal discrimination in automated decision making, in Knowledge and Information Systems, 2013
Discrimination discovery in scientific project evaluation: A case study, in Expert Systems with Applications, 2013
Discrimination and Privacy in the Information Society, 2013

2012

Data preprocessing techniques for classification without discrimination, in Knowledge and Information Systems, 2012

2011

Implementing Anti-discrimination Policies in Statistical Profiling Models, in American Economic Journal: Economic Policy, 2011

2010

Data Mining for Discrimination Discovery, in ACM Transactions on Knowledge Discovery from Data, 2010
Three naive Bayes approaches for discrimination-free classification, in Data Mining and Knowledge Discovery, 2010
Integrating induction and deduction for finding evidence of discrimination, in Artificial Intelligence and Law, 2010