Maximilian Poretschkin

12 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A global scale comparison of risk aggregation in AI assessment frameworks.
AI Ethics
Anna Schmitz, Michael Mock, Rebekka Görge, Armin B. Cremers, Maximilian Poretschkin
2025 — ed.
Symposium on Scaling AI Assessments, SAIA 2024, Cologne, Germany, September 30 - October 1, 2024
SAIA
Rebekka Görge, Elena Haedecke, Maximilian Poretschkin, Anna Schmitz
2025 J jnl
Textual Data Bias Detection and Mitigation - An Extensible Pipeline with Experimental Evaluation.
CoRR
Rebekka Görge, Sujan Sai Gannamaneni, Tabea Naeven, Hammam Abdelwahab, Héctor Allende-Cid, Armin B. Cremers, Lennard Helmer, Michael Mock, Anna Schmitz, Songkai Xue, Elif Yildirir, Maximilian Poretschkin, Stefan Wrobel
2024 J jnl
AITA: AI trustworthiness assessment.
AI Ethics
Bertrand Braunschweig, Stefan Buijsman, Faïcel Chamroukhi, Fredrik Heintz, Foutse Khomh, Juliette Mattioli, Maximilian Poretschkin
2024 J jnl
Developing trustworthy AI applications with foundation models.
CoRR
Michael Mock, Sebastian Schmidt, Felix Müller, Rebekka Görge, Anna Schmitz, Elena Haedecke, Angelika Voss, Dirk Hecker, Maximilian Poretschkin
2024 — conf
LLMs and Memorization: On Quality and Specificity of Copyright Compliance.
AIES (1)
Felix B. Mueller, Rebekka Görge, Anna K. Bernzen, Janna C. Pirk, Maximilian Poretschkin
2024 J jnl
LLMs and Memorization: On Quality and Specificity of Copyright Compliance.
CoRR
Felix Müller, Rebekka Görge, Anna K. Bernzen, Janna C. Pirk, Maximilian Poretschkin
2024 J jnl
Standardizing fairness-evaluation procedures: interdisciplinary insights on machine learning algorithms in creditworthiness assessments for small personal loans.
AI Ethics
Sergio Genovesi, Julia Maria Mönig, Anna Schmitz, Maximilian Poretschkin, Maram Akila, Manoj Kahdan, Romina Kleiner, Lena Krieger, Alexander Zimmermann
2023 J jnl
Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog.
CoRR
Maximilian Poretschkin, Anna Schmitz, Maram Akila, Linara Adilova, Daniel Becker, Armin B. Cremers, Dirk Hecker, Sebastian Houben, Michael Mock, Julia Rosenzweig, Joachim Sicking, Elena Schulz, Angelika Voss, Stefan Wrobel
2022 J jnl
A Survey on Uncertainty Toolkits for Deep Learning.
CoRR
Maximilian Pintz, Joachim Sicking, Maximilian Poretschkin, Maram Akila
2022 J jnl
The why and how of trustworthy AI.
Autom.
Anna Schmitz, Maram Akila, Dirk Hecker, Maximilian Poretschkin, Stefan Wrobel
2021 J jnl
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.
CoRR
Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle