Caroline Gentgen-Barg, “Fairnessmetriken bei algorithmischen Entscheidungen aus juristischer Perspektive”, Daten, Plattformen und KI als Dreiklang unserer Zeit – Tagungsband der Herbstakademie der deutshcen Stiftung für Recht und Informatik 2022, S. 543-560.

Philippe van Basshuysen, “Markets, Market Algorithms, and Algorithmic Bias“, Journal of Economic Methodology (forthcoming).

Jan Horstmann and Stefan Dalmer, “Automatisierte Kreditwürdigkeitsprüfung“, Zeitschrift für Datenschutz 2022, 260-265.

Lucie White, Philippe van Basshuysen, and Mathias Frisch, “When Is Lockdown Justified?Philosophy of Medicine 3(1):1-22, 2022.

Vasileios Iosifidis, Arjun Roy, and Eirini Ntoutsi, “Parity-based Cumulative Fairness-aware Boosting“, Springer Journal Knowledge and Information Systems (KAIS), 2022.

Arjun Roy and Eirini Ntoutsi, “Learning to Teach Fairness-Aware Deep Multi-Task Learning“, ECMLPKDD, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.

Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi, “A survey on datasets for fairness-aware machine learning“, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2022.

Yi Cai, Arthur Zimek, and Eirini Ntoutsi, “XPROAX-Local explanations for text classification with progressive neighborhood approximation“, IEEE, 8th International Conference on Data Science and Advanced Analytics (DSAA), 1-10, 2021.

Philip Naumann and Eirini Ntoutsi, “Consequence-aware Sequential Counterfactual Generation“, Machine Learning and Knowledge Discovery in Databases. Research Track – European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12976, Springer 2021, ISBN 978-3-030-86519-1 (pp. 682-698), 2021.

Tai Le Quy, Arjun Roy, Gunnar Friege, and Eirini Ntoutsi, “Fair-Capacitated Clustering“, The 14th International Conference on Educational Data Mining (EDM21), 407-414, 2021.

Philippe van Basshuysen, “Rationality in games and institutions“, Synthese 199:12295–12314, 2021.

Philippe van Basshuysen and Lucie White, “The Epistemic Duties of Philosophers: An Addendum“, Kennedy Institute of Ethics Journal 31(4):447-451, 2021.

Philippe van Basshuysen and Lucie White, “Were Lockdowns Justified? A Return to the Facts and Evidence“, Kennedy Institute of Ethics Journal 31(4):405-428, 2021.

Lucie White and Philippe van Basshuysen, “Without a trace: Why corona apps failed“, Journal of Medical Ethics, 47:e83, 2021.

Dietmar Hübner, “Two Kinds of Discrimination in AI-Based Penal Decision-Making“, SIGKDD Explorations 23(1):4-13, 2021.

Philippe van Basshuysen, Lucie White, Donal Khosrowi, and Mathias Frisch, “Three Ways in Which Pandemic Models May Perform a Pandemic“, Erasmus Journal for Philosophy and Economics 14(1):110-127, 2021.

Philippe van Basshuysen and Lucie White, “Mit Kontaktdaten gegen die Pandemie: Zur Ethik von Corona-Warn-Apps“, Ethik in der Medizin, 33:387–400, 2021.

Lucie White and Philippe van Basshuysen, “Privacy versus Public Health? A Reassessment of Centralised and Decentralised Digital Contact Tracing“, Science and Engineering Ethics, 27(2):1-13, 2021.

Philippe van Basshuysen, “How to Build an Institution“, Philosophy of the Social Sciences 51(2):215-238, 2021.

Lucie White and Philippe van Basshuysen, “How to overcome lockdown: selective isolation versus contact tracing“, Journal of Medical Ethics 46(11):724-725, 2020.

Tongxin Hu, Vasileios Iosifidis, Liao Wentong et al., “FairNN – Conjoint Learning of Fair Representations for Fair Decisions“, 23rd International Conference on Discovery Science, October, 2020.

Philippe van Basshuysen, “Kidney Exchange and the Ethics of Giving“, Journal of Ethics and Social Philosophy 18(1):85-110, 2020.

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju et al., “Bias in data‐driven artificial intelligence systems—An introductory survey“, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2020.

Wenbin Zhang and Eirini Ntoutsi, “An Adaptive Fairness-aware Decision Tree Classifier“, International Joint Conference on Artificial Intelligence (IJCAI), 2019.

Vasileios Iosifidis and Eirini Ntoutsi, “AdaFair: Cumulative Fairness Adaptive Boosting“, ACM International Conference on Information and Knowledge Management (CIKM), 2019.

Vasileios Iosifidis, Besnik Fetahu and Eirini Ntoutsi, “FAE: A Fairness-Aware Ensemble Framework“, IEEE International Conference on Big Data, 2019.

Vasileios Iosifidis, Han Tran and Eirini Ntoutsi, “Fairness-enhancing interventions in stream classification“, 30th International Conference on Databases and Expert Systems Applications (DEXA), 2019.

Vasileios Iosifidis and Eirini Ntoutsi,Dealing with Bias via Data Augmentation in Supervised Learning Scenarios“, BIAS workshop in conjunction with iConference, 2018.