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2020 – today
- 2024
[j5]Tobias D. Krafft
, Marc P. Hauer, Katharina Anna Zweig:
Black-Box Testing and Auditing of Bias in ADM Systems. Minds Mach. 34(2): 15 (2024)- [c6]Kim Valerie Carl, Marc P. Hauer, Thomas Arnold:
Are We Still on Track with Our Responsibility Strategy? Introducing an Internal Assessment of Corporate Digital Responsibility Engagement. INFORMATIK 2024: 1573-1585 - [i5]Djalel Benbouzid, Christiane Plociennik, Laura Lucaj, Mihai Maftei, Iris Merget, Aljoscha Burchardt, Marc P. Hauer, Abdeldjallil Naceri, Patrick van der Smagt:
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems. CoRR abs/2405.13191 (2024) - 2023
- [c5]Marc P. Hauer, Lena Müller-Kress, Gertraud Leimüller, Katharina Anna Zweig:
Using Assurance Cases to assure the fulfillment of non-functional requirements of AI-based systems - Lessons learned. ICSTW 2023: 172-179 - [i4]Marc P. Hauer, Tobias D. Krafft, Andreas Sesing-Wagenpfeil, Katharina Anna Zweig:
Quantitative study about the estimated impact of the AI Act. CoRR abs/2304.06503 (2023) - 2022
- [j4]Hanna Hoffmann, Verena Vogt, Marc P. Hauer, Katharina Anna Zweig:
Fairness by awareness? On the inclusion of protected features in algorithmic decisions. Comput. Law Secur. Rev. 44: 105658 (2022) - 2021
- [j3]Marc P. Hauer, Johannes Kevekordes, Maryam Amir Haeri:
Legal perspective on possible fairness measures - A legal discussion using the example of hiring decisions. Comput. Law Secur. Rev. 42: 105583 (2021) - [j2]Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Anna Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Möller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, Theresa Zueger:
Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482). Dagstuhl Manifestos 9(1): 43-61 (2021) - [c4]Marc P. Hauer, Rasmus Adler, Katharina Anna Zweig:
Assuring Fairness of Algorithmic Decision Making. ICST Workshops 2021: 110-113 - [c3]Lisa Jöckel, Thomas Bauer, Michael Kläs, Marc P. Hauer, Janek Groß:
Towards a Common Testing Terminology for Software Engineering and Data Science Experts. PROFES 2021: 281-289 - [i3]Marc P. Hauer, Johannes Kevekordes, Maryam Amir Haeri:
Legal perspective on possible fairness measures - A legal discussion using the example of hiring decisions (preprint). CoRR abs/2108.06918 (2021) - [i2]Lisa Jöckel, Thomas Bauer, Michael Kläs, Marc P. Hauer, Janek Groß:
Towards a Common Testing Terminology for Software Engineering and Artificial Intelligence Experts. CoRR abs/2108.13837 (2021) - 2020
- [j1]Marc P. Hauer, Xavier C. R. Hofmann, Tobias D. Krafft, Katharina Anna Zweig:
Quantitative analysis of automatic performance evaluation systems based on the h-index. Scientometrics 123(2): 735-751 (2020) - [c2]Tobias D. Krafft, Marc P. Hauer, Katharina Anna Zweig:
Why Do We Need to Be Bots? What Prevents Society from Detecting Biases in Recommendation Systems. BIAS 2020: 27-34 - [i1]Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Anna Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Möller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, Theresa Zueger:
Diversity in News Recommendations. CoRR abs/2005.09495 (2020)
2010 – 2019
- 2017
- [c1]Eduard C. Groen, Sylwia Kopczynska, Marc P. Hauer, Tobias D. Krafft, Jörg Dörr:
Users - The Hidden Software Product Quality Experts?: A Study on How App Users Report Quality Aspects in Online Reviews. RE 2017: 80-89
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