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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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