OASIcs, Volume 126, SAIA 2024

• Rebekka Görge, Elena Haedecke, Maximilian Poretschkin, and Anna Schmitz OASIcs, Volume 126, SAIA 2024, Complete Volume 10.4230/OASIcs.SAIA.2024
• Rebekka Görge, Elena Haedecke, Maximilian Poretschkin, and Anna Schmitz Front Matter, Table of Contents, Preface, Conference Organization 10.4230/OASIcs.SAIA.2024.0
• Afef Awadid and Boris Robert On Assessing ML Model Robustness: A Methodological Framework (Academic Track) 10.4230/OASIcs.SAIA.2024.1
• Marc-André Zöller, Anastasiia Iurshina, and Ines Röder Trustworthy Generative AI for Financial Services (Practitioner Track) 10.4230/OASIcs.SAIA.2024.2
• Ronald Schnitzer, Andreas Hapfelmeier, and Sonja Zillner EAM Diagrams - A Framework to Systematically Describe AI Systems for Effective AI Risk Assessment (Academic Track) 10.4230/OASIcs.SAIA.2024.3
• Daniel Weimer, Andreas Gensch, and Kilian Koller Scaling of End-To-End Governance Risk Assessments for AI Systems (Practitioner Track) 10.4230/OASIcs.SAIA.2024.4
• Joachim Iden, Felix Zwarg, and Bouthaina Abdou Risk Analysis Technique for the Evaluation of AI Technologies with Respect to Directly and Indirectly Affected Entities (Practitioner Track) 10.4230/OASIcs.SAIA.2024.5
• Dominik Eisl, Bastian Bernhardt, Lukas Höhndorf, and Rafal Kulaga SafeAI-Kit: A Software Toolbox to Evaluate AI Systems with a Focus on Uncertainty Quantification (Practitioner Track) 10.4230/OASIcs.SAIA.2024.6
• Christoph Tobias Wirth, Mihai Maftei, Rosa Esther Martín-Peña, and Iris Merget Towards Trusted AI: A Blueprint for Ethics Assessment in Practice (Academic Track) 10.4230/OASIcs.SAIA.2024.7
• Adrian Seeliger AI Readiness of Standards: Bridging Traditional Norms with Modern Technologies (Practitioner Track) 10.4230/OASIcs.SAIA.2024.8
• Sergio Genovesi Introducing an AI Governance Framework in Financial Organizations. Best Practices in Implementing the EU AI Act (Practitioner Track) 10.4230/OASIcs.SAIA.2024.9
• Sergio Genovesi, Martin Haimerl, Iris Merget, Samantha Morgaine Prange, Otto Obert, Susanna Wolf, and Jens Ziehn Evaluating Dimensions of AI Transparency: A Comparative Study of Standards, Guidelines, and the EU AI Act (Academic Track) 10.4230/OASIcs.SAIA.2024.10
• Oliver Müller, Veronika Lazar, and Matthias Heck Transparency of AI Systems (Practitioner Track) 10.4230/OASIcs.SAIA.2024.11
• Elisabeth Pachl, Fabian Langer, Thora Markert, and Jeanette Miriam Lorenz A View on Vulnerabilites: The Security Challenges of XAI (Academic Track) 10.4230/OASIcs.SAIA.2024.12
• Benjamin Fresz, Danilo Brajovic, and Marco F. Huber AI Certification: Empirical Investigations into Possible Cul-De-Sacs and Ways Forward (Practitioner Track) 10.4230/OASIcs.SAIA.2024.13
• Susanne Kuch and Raoul Kirmes AI Certification: An Accreditation Perspective (Practitioner Track) 10.4230/OASIcs.SAIA.2024.14
• Carmen Frischknecht-Gruber, Philipp Denzel, Monika Reif, Yann Billeter, Stefan Brunner, Oliver Forster, Frank-Peter Schilling, Joanna Weng, and Ricardo Chavarriaga AI Assessment in Practice: Implementing a Certification Scheme for AI Trustworthiness (Academic Track) 10.4230/OASIcs.SAIA.2024.15