Marc P Hauer
Cited by
Cited by
Users—the hidden software product quality experts?: A study on how app users report quality aspects in online reviews
EC Groen, S Kopczyńska, MP Hauer, TD Krafft, J Doerr
2017 IEEE 25th international requirements engineering conference (RE), 80-89, 2017
From Principles to Practice-An interdisciplinary framework to operationalise AI ethics
T Krafft, M Hauer, L Fetic, A Kaminski, M Puntschuh, P Otto, C Hubig, ...
iRights. Lab, Tech. Rep., 2020
Diversity in news recommendations
A Bernstein, C De Vreese, N Helberger, W Schulz, K Zweig, C Baden, ...
arXiv preprint arXiv:2005.09495, 2020
KI.(2020). Deutsche Normungsroadmap Künstliche Intelligenz (Autor war Mitglied im Expertenausschuss), DIN, Berlin und DKE, Frankfurt
DIN Roadmap
KI.(2022). Deutsche Normungsroadmap Künstliche Intelligenz 2.0 (Autor war Mitglied im Expertenausschuss), DIN, Berlin und DKE, Frankfurt
S Maack, P Benner, M Kröll, J Prager, W Daum, R Casperson, T Heckel, ...
Legal perspective on possible fairness measures–A legal discussion using the example of hiring decisions
MP Hauer, J Kevekordes, MA Haeri
Computer Law & Security Review 42, 105583, 2021
Assuring fairness of algorithmic decision making
MP Hauer, R Adler, K Zweig
2021 IEEE International Conference on Software Testing, Verification and …, 2021
Quantitative analysis of automatic performance evaluation systems based on the h-index
MP Hauer, XCR Hofmann, TD Krafft, KA Zweig
Scientometrics 123 (2), 735-751, 2020
Towards a Common Testing Terminology for Software Engineering and Data Science Experts
L Jöckel, T Bauer, M Kläs, MP Hauer, J Groß
Product-Focused Software Process Improvement: 22nd International Conference …, 2021
Why do we need to be bots? what prevents society from detecting biases in recommendation systems
TD Krafft, MP Hauer, KA Zweig
International Workshop on Algorithmic Bias in Search and Recommendation, 27-34, 2020
Fairness by awareness? On the inclusion of protected features in algorithmic decisions
H Hoffmann, V Vogt, MP Hauer, K Zweig
Computer Law & Security Review 44, 105658, 2022
Using Assurance Cases to assure the fulfillment of non-functional requirements of AI-based systems-Lessons learned
MP Hauer, L Müller-Kress, G Leimüller, K Zweig
2023 IEEE International Conference on Software Testing, Verification and …, 2023
Black-Box Testing and Auditing of Bias in ADM Systems
TD Krafft, MP Hauer, K Zweig
Minds and Machines 34 (2), 15, 2024
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems
D Benbouzid, C Plociennik, L Lucaj, M Maftei, I Merget, A Burchardt, ...
arXiv preprint arXiv:2405.13191, 2024
Quantitative study about the estimated impact of the AI Act
MP Hauer, TD Krafft, D Sesing-Wagenpfeil, P Zweig
arXiv preprint arXiv:2304.06503, 2023
Overview of transparency and inspectability mechanisms to achieve accountability of artificial intelligence systems
MP Hauer, TD Krafft, K Zweig
Data & Policy 5, e36, 2023
Method handbook: Assurance Cases for fair AI systems
L Kunze, G Leimüller, L Müller-Kress, MP Hauer …, 2023
Fairness by awareness? Zur Einbeziehung geschützter Merkmale in algorithmische Entscheidungen
H Hoffmann, V Vogt, MP Hauer, K Zweig
Information und Recht 87, 191-220, 2022
Rechtliche Bewertung möglicher Fairnessmaße
J Kevekordes, MP Hauer, MA Haeri
Information und Recht 87, 141-190, 2022
Dagstuhl Reports, Vol. 9, Issue 1 ISSN 2193-2433
B Berendt, F Gandon, S Halford, W Hall, J Hendler, KE Kinder-Kurlanda, ...
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