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33 Publications
2026 | Book Chapter | LibreCat-ID: 65061 | 
Rohlfing, Katharina J., et al. “Responsibilities in SXAI.” Social Explainable AI, Springer Nature Singapore, 2026, pp. 157–77, doi:10.1007/978-981-96-5290-7_9.
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2026 | Book Chapter | LibreCat-ID: 65064 |
Alpsancar, Suzana, and Michael Klenk. “The Risk of Manipulation and Deception in SXAI.” Social Explainable AI, Springer Nature Singapore, 2026, pp. 583–616, doi:10.1007/978-981-96-5290-7_30.
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2026 | Book (Editor) | LibreCat-ID: 65065 |
Rohlfing, Katharina J., et al., editors. Social Explainable AI. Springer Nature Singapore, 2026, doi:10.1007/978-981-96-5290-7_1.
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2026 | Conference Paper | LibreCat-ID: 63031
Menne, Anna Lena, and Christian Schulz. “Social Context in Human-AI Interaction (HAI): Towards a Theoretical Framework Based on Multi-Perspectival Imaginaries.” HCI International 2026 Posters: 28th International Conference on Human-Computer Interaction, HCI 2026, Montreal, Canada, July 26-31, 2026, Proceedings, edited by Constantine Stephanidis et al., Springer International Publishing.
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2026 | Journal Article | LibreCat-ID: 64789
Beer, Fabian, and Christian Schulz. “AI Has Never Been ‘Inherently Interpretable’: On a Paradoxical Origin of EXplainable AI (XAI).” RESET Journal (Recherches Sciences Sociale Sur Internet) Special Issue: Towards New Social and Historical Studies of Artificial Intelligence, Open Edition Journals.
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2026 | Book Chapter | LibreCat-ID: 55598
Schulz, Christian. “Feeds. Ein zentrales Strukturprinzip sozialer Medien.” Handbuch Social Media: Geschichte – Kultur – Ästhetik, edited by Robert Dörre and Anna Tuschling, 1st ed., Metzler Verlag.
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2025 | Journal Article | LibreCat-ID: 54667
Schulz, Christian. “On ‘Super Likes’ and Algorithmic (In)Visibilities: Frictions Between Social and Economic Logics in the Context of Social Media Platforms.” Digital Culture & Society , vol. 2/2023, 2025, pp. 45–68, doi:https://doi.org/10.14361/dcs-2023-0204.
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2025 | Conference Paper | LibreCat-ID: 61229
Muschalik, Maximilian, et al. “Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks.” The Thirteenth International Conference on Learning Representations (ICLR), 2025.
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2025 | Conference Paper | LibreCat-ID: 61232
Visser, Roel, et al. “Explaining Outliers Using Isolation Forest and Shapley Interactions.” Proceedings of the European Symposium on Artificial Neural Networks (ESANN), 2025.
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2025 | Conference Paper | LibreCat-ID: 61231
Fumagalli, Fabian, et al. “Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory.” Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), vol. 258, PMLR, 2025, pp. 5140–48.
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2024 | Book Chapter | LibreCat-ID: 51745
Schulz, Christian. “Vernakulärer Code oder die Geister, die der Algorithmus rief - digitale Schriftlichkeit im Kontext von sozialen Medienplattformen.” Digitale Schriftlichkeit – Progammieren, Prozessieren und Codieren von Schrift, edited by Martin Bartelmus and Alexander Nebrig, 1st ed., transcript , 2024, doi:https://doi.org/10.1515/9783839468135-009.
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2024 | Book Chapter | LibreCat-ID: 51746
Schulz, Christian. “Vom foto-sozialen Graph zum Story-Format: Über die Institutionalisierung sozialmedialer Infrastruktur aus dem Geiste der Fotografie.” Die Fotografie und ihre Institutionen. Von der Lehrsammlung zum Bundesinstitut , edited by Anja Schürmann and Kathrin Yacavone, 1st ed., Reimer Verlag, 2024, doi:doi.org/10.5771/9783496030980.
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2024 | Conference Paper | LibreCat-ID: 57250
Schütze, Christian, et al. “Static Socio-Demographic and Individual Factors for Generating Explanations in XAI: Can They Serve as a Prior in DSS for Adaptation of Explanation Strategies?” HAI ’24: Proceedings of the 12th International Conference on Human-Agent Interaction, ACM, 2024, pp. 141–49, doi:10.1145/3687272.3688300.
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2024 | Journal Article | LibreCat-ID: 58708
Fisher, Josephine Beryl, et al. “ Explain with, Rather than Explain to: How Explainees Shape Their Own Learning.” Interaction Studies, vol. 25, no. 2, John Benjamins, 2024, pp. 244–55, doi:doi.org/10.1075/is.23019.fis.
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2024 | Conference Paper | LibreCat-ID: 58224
Kenneweg, Philip, et al. “No Learning Rates Needed: Introducing SALSA - Stable Armijo Line Search Adaptation.” 2024 International Joint Conference on Neural Networks (IJCNN), 2024, pp. 1–8, doi:10.1109/IJCNN60899.2024.10650124.
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2024 | Conference Paper | LibreCat-ID: 53073
Muschalik, Maximilian, et al. “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.” Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 38, no. 13, 2024, pp. 14388–96, doi:10.1609/aaai.v38i13.29352.
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2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki, Patrick, et al. “SVARM-IQ: Efficient Approximation of Any-Order Shapley Interactions through Stratification.” Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), vol. 238, PMLR, 2024, pp. 3520–3528.
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2024 | Conference Paper | LibreCat-ID: 58223
Fumagalli, Fabian, et al. “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.” Proceedings of the 41st International Conference on Machine Learning (ICML), vol. 235, PMLR, 2024, pp. 14308–14342.
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2024 | Conference Paper | LibreCat-ID: 61228
Muschalik, Maximilian, et al. “Shapiq: Shapley Interactions for Machine Learning.” Advances in Neural Information Processing Systems (NeurIPS), vol. 37, 2024, pp. 130324–130357.
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2024 | Conference Paper | LibreCat-ID: 61230
Kolpaczki, Patrick, et al. “Approximating the Shapley Value without Marginal Contributions.” Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 38, no. 12, 2024, pp. 13246–13255.
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