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RAIE@ICSE 2024: Lisbon, Portugal
- Proceedings of the 2nd International Workshop on Responsible AI Engineering, RAIE 2024, Lisbon, Portugal, 16 April 2024. ACM 2024, ISBN 979-8-4007-0572-4
- Lennard Helmer, Claudio Martens, Dennis Wegener, Maram Akila, Daniel Becker, Sermad Abbas:
Towards Trustworthy AI Engineering - A Case Study on integrating an AI audit catalog into MLOps processes. 1-7 - Bernhard Schenkenfelder, Ulrich Brandstätter, Lukas Fischer, Rudolf Ramler, Dominik Laister, Martin Hartl, Markus Wurm:
Responsible AI Engineering: The Case of an Inclusive Image Annotation Team in a Global Technology Company. 8-15 - Umm-e-Habiba, Justus Bogner, Stefan Wagner:
Towards Explainability as a Functional Requirement: A Vision to Integrate the Legal, End-User, and ML Engineer Perspectives. 16-19 - Maximilian Pintz, Daniel Becker, Michael Mock:
PARMA: a Platform Architecture to enable Automated, Reproducible, and Multi-party Assessments of AI Trustworthiness. 20-27 - Jiawen Wen, Dong Yuan, Lei Ma, Huaming Chen:
Code Ownership in Open-Source AI Software Security. 28-35 - Muneera Bano, Didar Zowghi, Vincenzo Gervasi:
A Vision for Operationalising Diversity and Inclusion in AI. 36-43 - Teresa Scantamburlo, Paolo Falcarin, Alberto Veneri, Alessandro Fabris, Chiara Gallese, Valentina Billa, Francesca Rotolo, Federico Marcuzzi:
Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge. 44-51 - Samarth Sikand, Rohit Mehra, Vibhu Saujanya Sharma, Vikrant Kaulgud, Sanjay Podder, Adam P. Burden:
Do Generative AI Tools Ensure Green Code? An Investigative Study. 52-55
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