98824 research outputs found
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Police, Politics and New Technologies
No full textEgbert S. Police, Politics and New Technologies. In: Terpstra JB, de Maillard J, eds. Handbook Politics of Policing. Cheltenham: Edward Elgar; Draft
Predictive policing algorithms: Trends and challenges in forecasting crime risks
No full textEgbert S. Predictive policing algorithms: Trends and challenges in forecasting crime risks. In: Ugwudike P, Fussey P, Oswald M, Bruno F, eds. The Oxford Handbook of Digital Technologies in Criminal Justice. Oxford: Oxford University Press; Draft
Algorithmische Prognosen und das Ende der probabilistischen Vorhersage?
No full textEgbert S. Algorithmische Prognosen und das Ende der probabilistischen Vorhersage? In: Schröder A, Noji E, Vormbusch U, eds. ‚What If‘ – Szenarien und Prognosen in einer nach-probabilistischen Welt. Bielefeld: transcript; Accepted
Krieg und Gerechtigkeit. Ciceros Konzept eines Bellum iustum in De officiis
No full textSauer J. Krieg und Gerechtigkeit. Ciceros Konzept eines Bellum iustum in De officiis. In: Hengelbrock M, ed. Minerva am Theaterwall. Draft
The Routledge International Handbook of Crime Prediction
No full textEgbert S, Leese M, eds. The Routledge International Handbook of Crime Prediction. London/Abingdon: Routledge; Draft
When Bias Backfires: The Modulatory Role of Counterfactual Explanations on the Adoption of Algorithmic Bias in XAI-Supported Human Decision-Making
No full textKuhl U, Bush A. When Bias Backfires: The Modulatory Role of Counterfactual Explanations on the Adoption of Algorithmic Bias in XAI-Supported Human Decision-Making. In: Guidotti R, Schmid U, Longo L, eds. Explainable Artificial Intelligence. Third World Conference, xAI 2025, Istanbul, Turkey, July 9–11, 2025, Proceedings, Part V. Communications in Computer and Information Science. Cham: Springer Nature Switzerland; 2026: 249-273.**Abstract**
Although the integration of artificial intelligence (AI) into everyday tasks improves efficiency and objectivity, it also risks transmitting bias to human decision-making. In this study, we conducted a controlled experiment that simulated hiring decisions to examine how biased AI recommendations - augmented with or without counterfactual explanations - influence human judgment over time. Participants, acting as hiring managers, completed 60 decision trials divided into a baseline phase without AI, followed by a phase with biased (X)AI recommendations (favoring either male or female candidates), and a final post-interaction phase without AI. Our results indicate that the participants followed the AI recommendations 70% of the time when the qualifications of the given candidates were comparable. Yet, only a fraction of participants detected the gender bias (8 out of 294). Crucially, exposure to biased AI altered participants’ inherent preferences: in the post-interaction phase, participants’ independent decisions aligned with the bias when no counterfactual explanations were provided before, but reversed the bias when explanations were given. Reported trust did not differ significantly across conditions. Confidence varied throughout the study phases after exposure to male-biased AI, indicating nuanced effects of AI bias on decision certainty. Our findings point to the importance of calibrating XAI to avoid unintended behavioral shifts in order to safeguard equitable decision-making and prevent the adoption of algorithmic bias. In the interest of reproducible research, study data is available at:
https://github.com/ukuhl/BiasBackfiresXAI2025
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Global existence for a Leibenson type equation with reaction on Riemannian manifolds
No full textMeglioli G, Oliva F, Petitta F. Global existence for a Leibenson type equation with reaction on Riemannian manifolds. Nonlinear Analysis. 2026;263: 113967.We show a global existence result for a doubly nonlinear porous medium type equation of the form u(t )= Delta(p)u(m )+ u(q) on a complete and non-compact Riemannian manifold M of infinite volume. Here, for 1 = 1, m > 1 and q > m(p - 1) . In particular, under the assumptions that M supports the Sobolev inequality, we prove that a solution for such a problem exists globally in time provided q > m(p - 1) + p/N and the initial datum is small enough; namely, we establish an explicit bound on the L-infinity norm of the solution at all positive times, in terms of the L-1 norm of the data. Under the additional assumption that a Poincar & eacute;-type inequality also holds in M, we can establish the same result in the larger interval, i.e. q > m(p - 1). This result has no Euclidean counterpart, as it differs entirely from the case of a bounded Euclidean domain due to the fact that M is non-compact and has infinite measure
Scene-Aware Prediction of Diverse Human Movement Goals
No full textYang Q, Weber A, Jung M, AI-Hamadi A, Wachsmuth S. Scene-Aware Prediction of Diverse Human Movement Goals. In: Röning J, Filipe J, eds. Robotics, Computer Vision and Intelligent Systems. 5th International Conference, ROBOVIS 2025, Porto, Portugal, February 25–27, 2025, Proceedings. Communications in Computer and Information Science. Cham: Springer Nature Switzerland; 2026: 312-327
Humanes-Herpesvirus-8-Infektionen
No full textNadal D, Härtel C, Huzly D, Paioni P, Sauerbrei A, Soler Wenglein J. Humanes-Herpesvirus-8-Infektionen. In: Berner R, Bialek R, Brinkmann F, et al., eds. DGPI Handbuch. Infektionen bei Kindern und Jugendlichen. Stuttgart: Georg Thieme Verlag KG; 2026
Chantal Mouffe: Über das Politische
No full textFlügel-Martinsen O. Chantal Mouffe: Über das Politische. In: Brocker M, Strömel S, eds. Das politische Denken der Gegenwart. Berlin: Suhrkamp; Accepted