{"id":116,"date":"2019-12-09T18:56:56","date_gmt":"2019-12-09T18:56:56","guid":{"rendered":"http:\/\/www.bias-project.org\/?page_id=116"},"modified":"2024-04-19T16:35:37","modified_gmt":"2024-04-19T15:35:37","slug":"publications","status":"publish","type":"page","link":"https:\/\/bias-project.org\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\t\t
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Jan Horstmann<\/strong>, “CJEU: The Rating of a Natural Person\u2019s Creditworthiness by a Credit Rating Agency Constitutes Profiling and can be an Automated Decision under Article 22 GDPR”, European Data Protection Law, case notes (forthcoming).<\/p>\n

Donal Khosrowi, Philippe van Basshuysen<\/strong>, \u201cMaking a Murderer \u2013 How risk assessment tools may produce rather than predict criminal behavior\u201d, American Philosophical Quarterly (forthcoming)<\/em>.<\/p>\n

Thomas Norrenbrock, Marco Rudolph, and Bodo Rosenhahn<\/strong>, “Q-SENN: Quantized Self-Explaining Neural Networks<\/a>“, 38th AAAI Conference on Artificial Intelligence<\/em>, Vancouver, February 2024.<\/p>\n

Arjun Roy, Jan Horstmann, and Eirini Ntoutsi<\/strong>, “Multi-dimensional Discrimination in Law and Machine learning – A Comparative Overview<\/a>“, Conference on Fairness, Accountability and Transparency (FAccT)<\/em>, Chicago, June 2023. Preprint available on arxiv<\/a>.<\/p>\n

Margrit Seckelmann<\/strong>, “K\u00fcnstliche Intelligenz in der Verwaltung – Der Entwurf einer europ\u00e4ischen KI-Verordnung und der Umgang mit informationstechnischen Risiken<\/a>“, Die Verwaltung 56 (2023),<\/em> 1-29.<\/p>\n

Thomas Norrenbrock, Marco Rudolph, and Bodo Rosenhahn<\/strong>, “Take 5: interpretable image classification with a handful of features<\/a>“, presented at Progress and Challenges in Building Trustworthy Embodied AI @NeurIPS<\/em>, December 2022.<\/p>\n

Christian Heinze<\/strong> (ed.), “Daten, Plattformen und KI als Dreiklang unserer Zeit – Tagungsband zur 23. DSRI-Herbstakademie 2022<\/a>“, Oldenburger Verlag f\u00fcr Wirtschaft, Informatik und Recht, 2022, XV, 919 S.<\/p>\n

Arjun Roy, Vasileios Iosifidis, and Eirini Ntoutsi<\/strong>, “Multi-fairness Under Class-Imbalance.<\/a>” In Pacal, P., Ienco, D. (eds.) Discovery Science. DS 2022. Lecture Notes in Computer Science 13601. Springer, Cham.<\/p>\n

Caroline Gentgen-Barg<\/strong>, “Fairnessmetriken bei algorithmischen Entscheidungen aus juristischer Perspektive<\/a>“, in Heinze (ed.): Daten, Plattformen und KI als Dreiklang unserer Zeit – Tagungsband der Herbstakademie der deutschen Stiftung f\u00fcr Recht und Informatik<\/em>, Edewecht 2022, 543-560.<\/p>\n

Philippe van Basshuysen<\/strong>, “Markets, Market Algorithms, and Algorithmic Bias<\/a>“, Journal of Economic Methodology<\/em> (Online first August 2022, vol. 30 issue 4, 2023).<\/p>\n

Jan Horstmann and Stefan Dalmer<\/strong>, “Automatisierte Kreditw\u00fcrdigkeitspr\u00fcfung<\/a>“, Zeitschrift f\u00fcr Datenschutz<\/em> 2022, 260-265.<\/p>\n

Lucie White, Philippe van Basshuysen, and Mathias Frisch<\/strong>, “When Is Lockdown Justified?<\/a>” Philosophy of Medicine<\/em> 3<\/i>(1):1-22, 2022.<\/p>\n

Vasileios Iosifidis, Arjun Roy, and Eirini Ntoutsi<\/strong>, “Parity-based Cumulative Fairness-aware Boosting<\/a>“, Springer Journal Knowledge and Information Systems<\/em> (KAIS)<\/em>, 2022.<\/p>\n

Arjun Roy and Eirini Ntoutsi<\/strong>, “Learning to Teach Fairness-Aware Deep Multi-Task Learning<\/a>“, ECMLPKDD<\/em>, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases<\/em>, 2022.
<\/strong><\/p>\n

Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi<\/strong>, “A survey on datasets for fairness-aware machine learning<\/a>“, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery<\/em>, 2022.<\/p>\n

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

Philip Naumann and Eirini Ntoutsi<\/strong>, “Consequence-aware Sequential Counterfactual Generation<\/a>“, Machine Learning and Knowledge Discovery in Databases. Research Track – European Conference, ECML PKDD<\/em> 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.<\/p>\n

Tai Le Quy, Arjun Roy, Gunnar Friege, and Eirini Ntoutsi<\/strong>, “Fair-Capacitated Clustering<\/a>“, The 14th International Conference on Educational Data Mining<\/em> (EDM21)<\/em>, 407-414, 2021.<\/p>\n

Philippe van Basshuysen<\/strong>, “Rationality in games and institutions<\/a>“, Synthese <\/em>199:12295\u201312314, 2021<\/span>.<\/p>\n

Philippe van Basshuysen and Lucie White<\/strong>, “The Epistemic Duties of Philosophers: An Addendum<\/a>“, Kennedy Institute of Ethics Journal<\/em> 31(4):447-451, 2021.<\/p>\n

Philippe van Basshuysen and Lucie White<\/strong>, “Were Lockdowns Justified? A Return to the Facts and Evidence<\/a>“, Kennedy Institute of Ethics Journal<\/em> 31(4):405-428, 2021.
<\/em><\/p>\n

Lucie White and Philippe van Basshuysen<\/strong>, “Without a trace: Why corona apps failed<\/a>“, Journal of Medical Ethics<\/em>, 47:e83, 2021.<\/p>\n

Dietmar H\u00fcbner<\/strong>, “Two Kinds of Discrimination in AI-Based Penal Decision-Making<\/a>“, SIGKDD Explorations<\/em> 23(1):4-13, 2021.<\/p>\n

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

Philippe van Basshuysen and Lucie White<\/strong>, “Mit Kontaktdaten gegen die Pandemie: Zur Ethik von Corona-Warn-Apps<\/a>“, Ethik in der Medizin<\/em>, 33:387\u2013400, 2021<\/span>.<\/p>\n

Lucie White and Philippe van Basshuysen<\/strong>, “Privacy versus Public Health? A Reassessment of Centralised and Decentralised Digital Contact Tracing<\/a>“, Science and Engineering Ethics, <\/i>27(2):1-13, 2021.
<\/i><\/p>\n

Philippe van Basshuysen<\/strong>, “How to Build an Institution<\/a>“, Philosophy of the Social Sciences <\/em>51(2):215-238, 2021.<\/p>\n

Lucie White and Philippe van Basshuysen<\/strong>, “How to overcome lockdown: selective isolation versus contact tracing<\/a>“, Journal of Medical Ethics<\/em> 46(11):724-725, 2020.<\/p>\n

Martin Ebers, Christian Heinze, Tina Kr\u00fcgel, and Bj\u00f6rn Steinr\u00f6tter<\/strong> (eds.), K\u00fcnstliche Intelligenz und Robotik. Rechtshandbuch, C.H. Beck, 2020, 1034 S.<\/p>\n

Tongxin Hu, Vasileios Iosifidis, Liao Wentong et al.<\/strong>, “FairNN – Conjoint Learning of Fair Representations for Fair Decisions<\/a>“, 23rd International Conference on Discovery Science<\/em>, October 2020.<\/p>\n

Dietmar H\u00fcbner, Lucie White, and Markus Ahlers<\/strong>, “Ethische Aspekte von Crash-Algorithmen f\u00fcr autonome Fahrzeuge: Rechte, Anspr\u00fcche und die Konstitutivit\u00e4t von Verkehrsregeln”, in Oppermann, Stender-Vorwachs (eds.): Autonomes Fahren. Rechtsprobleme, Rechtsfolgen, technische Grundlagen,<\/em> 2nd ed. Munich 2020, S. 61-74.<\/p>\n

Philippe van Basshuysen<\/strong>, “Kidney Exchange and the Ethics of Giving<\/a>“, Journal of Ethics and Social Philosophy<\/em> 18(1):85-110, 2020.<\/p>\n

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju et al.<\/strong>, “Bias in data\u2010driven artificial intelligence systems\u2014An introductory survey<\/a>“, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery<\/em>, 2020.<\/p>\n

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Wenbin Zhang and Eirini Ntoutsi<\/strong>, “An Adaptive Fairness-aware Decision Tree Classifier<\/a>“, International Joint Conference on Artificial Intelligence (IJCAI), <\/em>2019.<\/p>\n

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Vasileios Iosifidis and Eirini Ntoutsi<\/strong>, “AdaFair: Cumulative Fairness Adaptive Boosting<\/a>“, ACM International Conference on Information and Knowledge Management (CIKM)<\/em>, 2019.<\/p>\n

<\/p>\n

Vasileios Iosifidis, Besnik Fetahu and Eirini Ntoutsi<\/strong>, “FAE: A Fairness-Aware Ensemble Framework<\/a>“, IEEE International Conference on Big Data<\/em>, 2019.<\/p>\n

<\/p>\n

Vasileios Iosifidis, Han Tran and Eirini Ntoutsi<\/strong>, “Fairness-enhancing interventions in stream classification<\/a>“, 30th International Conference on Databases and Expert Systems Applications (DEXA)<\/em>, 2019.<\/p>\n

<\/p>\n

Vasileios Iosifidis and Eirini Ntoutsi,<\/strong> “Dealing with\u00a0Bias\u00a0via Data Augmentation in Supervised Learning Scenarios<\/a>“, BIAS\u00a0workshop in conjunction with iConference<\/em>, 2018.<\/p>\n

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Jan Horstmann, “CJEU: The Rating of a Natural Person\u2019s Creditworthiness by a Credit Rating Agency Constitutes Profiling and can be an Automated Decision under Article 22 GDPR”, European Data Protection Law, case notes (forthcoming). Donal Khosrowi, Philippe van Basshuysen, \u201cMaking a Murderer \u2013 How risk assessment tools may produce rather than predict criminal behavior\u201d, American […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":5,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/bias-project.org\/index.php\/wp-json\/wp\/v2\/pages\/116"}],"collection":[{"href":"https:\/\/bias-project.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bias-project.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bias-project.org\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/bias-project.org\/index.php\/wp-json\/wp\/v2\/comments?post=116"}],"version-history":[{"count":96,"href":"https:\/\/bias-project.org\/index.php\/wp-json\/wp\/v2\/pages\/116\/revisions"}],"predecessor-version":[{"id":964,"href":"https:\/\/bias-project.org\/index.php\/wp-json\/wp\/v2\/pages\/116\/revisions\/964"}],"wp:attachment":[{"href":"https:\/\/bias-project.org\/index.php\/wp-json\/wp\/v2\/media?parent=116"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}