Следене
Marc P Hauer
Заглавие
Позовавания
Позовавания
Година
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
902017
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
79*2020
Diversity in news recommendations
A Bernstein, C De Vreese, N Helberger, W Schulz, K Zweig, C Baden, ...
arXiv preprint arXiv:2005.09495, 2020
562020
KI.(2020). Deutsche Normungsroadmap Künstliche Intelligenz (Autor war Mitglied im Expertenausschuss), DIN, Berlin und DKE, Frankfurt
DIN Roadmap
37*2020
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, ...
33*2022
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
282021
Assuring fairness of algorithmic decision making
MP Hauer, R Adler, K Zweig
2021 IEEE International Conference on Software Testing, Verification and …, 2021
182021
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
122020
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
10*2021
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
92022
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
72020
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
42023
Overview of transparency and inspectability mechanisms to achieve accountability of artificial intelligence systems
MP Hauer, TD Krafft, K Zweig
Data & Policy 5, e36, 2023
32023
Black-Box Testing and Auditing of Bias in ADM Systems
TD Krafft, MP Hauer, K Zweig
Minds and Machines 34 (2), 15, 2024
22024
Anwendungsszenarien - KI-Systeme im Personal- und Talentmanagement
K Zweig, MP Hauer, F Raudonat
https://testing-ai.gi.de/fileadmin/PR/Testing-AI …, 2020
22020
Quantitative study about the estimated impact of the AI Act
MP Hauer, TD Krafft, DA Sesing-Wagenpfeil, P Zweig
arXiv preprint arXiv:2304.06503, 2023
12023
Vertrauen im Kontext–Messung und Operationalisierung
S Wolf, JF Schütte, M Hauer, C Koska
1
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
2024
Are We Still on Track with Our Responsibility Strategy? Introducing an Internal Assessment of Corporate Digital Responsibility Engagement
KV Carl, MP Hauer, T Arnold
INFORMATIK 2024, 1573-1585, 2024
2024
Method handbook: Assurance Cases for fair AI systems
L Kunze, G Leimüller, L Müller-Kress, MP Hauer
https://www.fairbydesign.eu/s/Handbook-for-Assurance-Cases-for-fair-AI …, 2023
2023
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