AIRoV 2026 Workshop • 3 hours
AI Certification, Fairness and Regulations
Organizers
Bernhard Nessler*, Michal Lewandowski*, Simon Schmid*, Gregor Aichinger*, Iana Kazeeva*, Rania Wazir#
* Software Competence Center Hagenberg – SCCH
# leiwand.ai
Workshop Description
Artificial Intelligence systems are increasingly deployed in high-impact domains, including healthcare, public administration, finance, mobility, and industrial automation. With the entry into force of the EU AI Act and related regulatory frameworks, the focus has shifted from purely technical performance to trustworthiness, compliance, and certifiability of AI systems.
Since its introduction at AIRoV in 2024, the workshop on AI Certification, Fairness and Regulations has evolved into a recurring forum for interdisciplinary exchange between technical researchers, legal scholars, and practitioners in conformity assessment. The 2026 edition builds upon this foundation and shifts the focus towards the operationalisation of certification: how can legal and ethical requirements be translated into measurable, testable, and statistically valid system properties?
A central challenge lies in the notion of functional trustworthiness: the systematic alignment between an AI system’s intended purpose, its operational context, and verifiable performance and risk criteria. Beyond static evaluation, certification increasingly requires lifecycle-oriented methodologies that account for robustness, reproducibility, and statistical validity over time.
Submissions are encouraged across a broad range of topics, including but not limited to:
- Certification methodologies for ML and AI systems
- Functional trustworthiness and application domain definition
- Statistical testing, sequential testing, and online hypothesis testing
- Multiple testing control and lifecycle risk management
- Robustness, adversarial resilience, and safety evaluation
- Bias, fairness, and discrimination assessment
- Explainability and transparency verification
- Privacy-preserving AI and differential privacy
- Standardisation and harmonised standards under the EU AI Act
- Conformity assessment procedures and auditability
- Benchmarking, reproducibility, and evaluation protocols
- Continuous monitoring and post-market surveillance
Workshop Schedule
| Time | Title | Speaker |
|---|---|---|
| 14:00–14:10 | Opening Remarks | Organizers |
| 14:10–14:30 | Invited Talk: GDPR-compliant Machine Learning and the Use of Personal Data in Large Language Models (15 min + 5 min Q&A) | Gregor Aichinger |
| 14:30–14:50 | D02: Conversational Agents in Multi-User Environments (15 min + 5 min Q&A) | Umut Tanriverdi, Tobias Halmdienst |
| 14:50–15:10 | D03: Safety Driven Hardware and Control Architecture for Automated Surface Vessel Systems (15 min + 5 min Q&A) | Önder Hamamcioglu, Viktor Komyshan |
| 15:10–15:30 | D05: Explainable Selection of Machine Learning Algorithms in Social Sciences (15 min + 5 min Q&A) | Dijana Oreski |
| 15:30–16:00 | Coffee Break | |
| 16:00–16:30 | Invited Talk: The Current State of the AI Standardisation Process in CEN/CENELEC (20 min + 10 min Q&A) | Rania Wazir |
| 16:30–16:50 | D01: Stochastic Application Domain Definition for Functional Trustworthiness Certification of AI Systems (15 min + 5 min Q&A) | Simon Schmid |
| 16:50–17:10 | D04: Anthropomorphic Terminology in Artificial Intelligence (15 min + 5 min Q&A) | Iana Kazeeva |
| 17:10–17:20 | General Discussion | All |
| 17:20–17:30 | Closing Remarks and Outlook | Organizers |