Neuro-mechanistic Modeling

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1. Markus Langer; Kevin Baum; Nadine Schlicker

   Effective Human Oversight of AI-Based Systems: A Signal Detection Perspective on the Detection of Inaccurate and Unfair Outputs

   In: Minds and Machines - Journal for Artificial Intelligence, Philosophy and Cognitive Science, Vol. 35, No. 1, Pages 1-30, Springer Nature, 11/2024.

2. Kevin Baum; Biewer Sebastian; Hermanns Holger; Hetmank Sven; Langer Markus; Lauber-Rönsberg Anne; Sterz Sarah

   Taming the AI Monster: Monitoring of Individual Fairness for Effective Human Oversight

   In: Thomas Neele; Anton Wijs (Hrsg.). Model Checking Software - 30th International Symposium - Proceedings. International Symposium on Model Checking Software (SPIN-2024), April 8-9, Luxembourg City, Luxembourg, Pages 3-25, Lecture Notes in Computer Science (LNCS), Vol. 14624, Springer Nature, Switzerland, 10/2024.

3. Kevin Baum; Lisa Dargasz; Felix Jahn; Timo P Gros; Verena Wolf

   Acting for the Right Reasons: Creating Reason-Sensitive Artificial Moral Agents

   In: ArXiv e-prints (arxiv), Vol. 1, Pages 1-10, arXiv, 9/2024.

4. Michael Backenköhler; Joschka Groß; Verena Wolf; Andrea Volkamer

   Guided docking as a data generation approach facilitates structure-based machine learning on kinases

   In: Journal of Chemical Information and Modeling (JCIM), Vol. 64, No. 10, Pages 4009-4020, ACS Publications, Washington DC, 5/2024.

5. Sebastian Biewer; Kevin Baum; Sarah Sterz; Holger Hermanns; Sven Hetmank; Markus Langer; Anne Lauber-Rönsberg; Franz Lehr

   Software doping analysis for human oversight

   In: Formal Methods in System Design, Vol. 62, Pages 1-50, Springer, 4/2024.

6. Sarah Sterz; Kevin Baum; Sebastian Biewer; Holger Hermanns; Anne Lauber-Rönsberg; Philip Meinel; Markus Langer

   On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives

   In: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT-2024), June 3-6, Rio de Janeiro, Brazil, Pages 2495-2507, ISBN 979-8-4007-0450-5, Association for Computing Machinery, New York, NY, USA, 2024.

7. Kevin Baum; Joanna Bryson; Frank Dignum; Virginia Dignum; Marko Grobelnik; Holger Hoos; Morten Irgens; Paul Lukowicz; Catelijne Muller; Francesca Rossi; John Shawe-Taylor; Andreas Theodorou; Ricardo Vinuesa

   From Fear to Action: AI Governance and Opportunities for All}

   In: Frontiers in Computer Science, Vol. 5, Pages 0-0, Frontiers Media, 5/2023.

8. Michael Backenköhler; Paula Linh Kramer; Joschka Groß; Gerrit Großmann; Roman Joeres; Azat Tagirdzhanov; Dominique Sydow; Hamza Ibrahim; Floriane Odje; Verena Wolf; Andrea Volkamer

   TeachOpenCADD goes Deep Learning: Open-source Teaching Platform Exploring Molecular DL Applications

   In: ChemRxiv, Vol. ChemRxiv Online, ChemRxiv.org, 5/2023.

9. Gerrit Großmann; Julian Zimmerlin; Michael Backenköhler; Verena Wolf

   Unsupervised relational inference using masked reconstruction

   In: Applied Network Science, Vol. 8, No. 18, Pages 1-21, Springer, 4/2023.

10. Wentong Cai; Philipp Andelfinger; Luca Bortolussi; Christopher Carothers; Dong Kevin Jin; Till Köster; Michael Lees; Jason Liu; Margaret Loper; Alessandro Pellegrini; Wen Jun Tan; Verena Wolf

    Intelligent Modeling and Simulation Lifecycle

    In: Dagstuhl-Seminar Report 22401. Dagstuhl Seminare/Workshops, Computer Science Methods for Effective and Sustainable Simulation Studies, October 3-7, Schloß Dagstuhl, Germany, Pages 44-46, Dagstuhl Seminar Report, Vol. 22401, Schloss Dagstuhl-Leibniz-Zentrum für Informatik, 2023.

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