Im Folgenden finden Sie eine Aufstellung aller veröffentlichten Bücher und von 2018 bis 2024 veröffentlichten Paper von Mohammed Abufouda.


2024

  • Carl, K. Valerie and Hauer, Marc P. and Arnold, Thomas. Are We Still on Track with Our Responsibility Strategy? Introducing an Internal Assessment of Corporate Digital Responsibility Engagement In: INFORMATIK 2024. Gesellschaft für Informatik e.V.. S. 1573-1585.
  • Krafft, Tobias D. Hauer, Marc P. Zweig, Katharina. Black-Box Testing and Auditing of Bias in ADM Systems In: Minds and Machines 34. S. 15

2023

  • Hauer, Marc P. and Krafft, Tobias D. and Zweig, Katharina. Overview of transparency and inspectability mechanisms to achieve accountability of artificial intelligence systems In: Data & Policy S. e36.
  • Hauer, Marc P. and Müller-Kress, Lena and Leimüller, Gertraud and Zweig, Katharina. Using Assurance Cases to assure the fulfillment of non-functional requirements of AI-based systems - Lessons learned In: 2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). S. 172-179.

2022

  • König, Pascal D. and Krafft, Tobias D. and Wolfgang Schulz and Zweig, Katharina A.. Essence of AI: What Is AI? In: The Cambridge Handbook of Artificial Intelligence. S. 18-34.
  • Haeri, Maryam Amir Hartmann, Kathrin Sirsch, Jürgen Wenzelburger, Georg Zweig, Katharina A.. Promises and Pitfalls of Algorithm Use by State Authorities In: Philosophy & Technology. S. 33.
  • Hanna Hoffmann, Verena Vogt, Marc P. Hauer, Katharina Zweig. Fairness by awareness? Zur Einbeziehung geschützter Merkmale in algorithmische Entscheidungen In: Information und Recht 87. (Künstliche Intelligenz - Ethik und Recht), 191-220, 2022.
  • Johannes Kevekordes, Marc P. Hauer, Maryam Amir Haeri. Rechtliche Bewertung möglicher Fairnessmaße. In: Information und Recht 87. (Künstliche Intelligenz - Ethik und Recht), 141-190, 2022.

2021

  • Krafft, Tobias D. and Reber, Martin and Krafft, Roman and Coutrier, Anna and Zweig, Katharina A.. Crucial Challenges in Large-Scale Black Box Analyses In: Advances in Bias and Fairness in Information Retrieval. Springer International Publishing. S. 143-155.
  • Jöckel, Lisa and Bauer, Thomas and Kläs, Michael and Hauer, Marc P. and Groß, Janek. Towards a Common Testing Terminology for Software Engineering and Data Science Experts In: Product-Focused Software Process Improvement. Springer International Publishing. S. 281-289.
  • Bernstein, Abraham and de Vreese, Claes and Helberger, Natali and Schulz, Wolfgang and Zweig, Katharina and Baden, Christian and Beam, Michael A. and Hauer, Marc P. and Heitz, Lucien and Jürgens, Pascal and Katzenbach, Christian and Kille, Benjamin and Klimkiewicz, Beate and Loosen, Wiebke and Moeller, Judith and Radanovic, Goran and Shani, Guy and Tintarev, Nava and Tolmeijer, Suzanne and van Atteveldt, Wouter and Vrijenhoek, Sanne and Zueger, Theresa. Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482) In: Dagstuhl Manifestos. Schloss Dagstuhl - Leibniz-Zentrum für Informatik. S. 43-61
  • Hauer, Marc P. and Adler, Rasmus and Zweig, Katharina. Assuring Fairness of Algorithmic Decision Making In: 2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). S. 110-113.
  • Bockholt, Mareike Zweig, Katharina A.. A systematic evaluation of assumptions in centrality measures by empirical flow data In: Social Network Analysis and Mining. S. 25.

2020

  • Bockholt, Mareike and Zweig, Katharina A.. Why We Need a Process-Driven Network Analysis In: Complex Networks and Their Applications VIII. Springer International Publishing. S. 81-93.
  • Krafft, Tobias D. and Hauer, Marc P. and Zweig, Katharina A.. Why Do We Need to Be Bots? What Prevents Society from Detecting Biases in Recommendation Systems In: Bias and Social Aspects in Search and Recommendation. Springer International Publishing. S. 27-34.
  • Adam Harkens and Karen Yeung and Julia Felfeli and Anja Achtziger and Pascal Koenig and Tobias Krafft and Wolfgang Schulz and Georg Wenzelburger and Katharina Zweig. The rise of AI-based decision-making tools in the criminal justice system: implications for judicial integrity
  • Reber, Martin and Krafft, Tobias D. and Krafft, Roman and Zweig, Katharina A. and Couturier, Anna. Data Donations for Mapping Risk in Google Search of Health Queries: A case study of unproven stem cell treatments in SEM In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI). S. 2985-2992.
  • Haeri, Maryam Amir and Zweig, Katharina Anna. The Crucial Role of Sensitive Attributes in Fair Classification In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI). S. 2993-3002.
  • Hauer, Marc P. Hofmann, Xavier C. R. Krafft, Tobias D. Zweig, Katharina A.. Quantitative analysis of automatic performance evaluation systems based on the h-index In: Scientometrics. S. 735-751.
  • Bockholt, Mareike Zweig, Katharina Anna. Towards a process-driven network analysis In: Applied Network Science. S. 56
  • Anita Klingel, Tobias D Krafft, Katharina Zweig. Mögliche Best-Practice-Ansätze beim Einsatz eines algorithmischen Entscheidungsunterstützungssystems am Beispiel des AMS-Algorithmus. In: Markus Hengstschläger (editor), Digital Transformation and Ethics, pages 190–215. Ecowin, Elsbethen, 2020.
  • Tobias D Krafft, Katharina Zweig. Herausforderungen bei der Nutzung von KI in militärischen Anwendungsgebieten - Sozioinformatische Perspektive. In: Matthias Rogg, Sophie Scheidt, Hartwig von Schubert (editors), Ethische Herausforderungen digitalen Wandels in bewaffneten Konflikten, pages 55–66. German Institute for Defence and Strategic Studies, Hamburg, 2020.

2019

  • Abufouda, Mohammed and Zweig, Katharina Anna. Link Classification and Tie Strength Ranking in Online Social Networks with Exogenous Interaction Networks In: Behavioral Analytics in Social and Ubiquitous Environments. Springer International Publishing. S. 1-27.

2018

  • Bockholt, Mareike and Peters, Olaf and Narciss, Susanne and Zweig, Katharina A. Analysis of human problems solving drafts: a methodological approach on the example of Rush Hour In: Proceedings of the annual meeting of the cognitive science society.
  • Calma, Adrian and Kuhn, Jochen and Leimeister, Jan Marco and Lukowicz, Paul and Oeste-Reiss, Sarah and Schmidt, Albrecht and Sick, Bernhard and Stumme, Gerd and Tomforde, Sven and Zweig, Anna Katharina. A Concept for Productivity Tracking based on Collaborative Interactive Learning Techniques In: ARCS Workshop 2018; 31th International Conference on Architecture of Computing Systems. S. 1-8.
  • Brugger, Christian and Grigorovici, Valentin and Jung, Matthias and De Schryver, Christian and Weis, Christian and Wehn, Norbert and Zweig, Katharina Anna. A Memory Centric Architecture of the Link Assessment Algorithm in Large Graphs In: IEEE Design and Test. S. 7-15.
  • Krafft, Tobias D. and Zweig, Katharina A.. Wie Gesellschaft algorithmischen Entscheidungen auf den Zahn fühlen kann In: (Un)berechenbar? Algorithmen und Automatisierung in Staat und Gesellschaft. Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS, Kompetenzzentrum öffentliche IT (öFIT). S. 471-492.
  • Zweig, Katharina A. and Krafft, Tobias D.. Fairness und Qualität algorithmischer Entscheidungen In: (Un)berechenbar? Algorithmen und Automatisierung in Staat und Gesellschaft. Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS, Kompetenzzentrum öffentliche IT (öFIT). S. 204-227.
  • Sick, Bernhard Oeste-Reiß, Sarah Schmidt, Albrecht Tomforde, Sven Zweig, Anna Katharina. Collaborative Interactive Learning In: Informatik-Spektrum. S. 52-55.
  • Zweig, Katharina A. Wenzelburger, Georg Krafft, Tobias D.. On Chances and Risks of Security Related Algorithmic Decision Making Systems In: European Journal for Security Research. S. 181-203.
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