AI-SS 2026 - 1st International Workshop on AI Safety and Security

Topics of interest include but are not limited to:
- Foundations of AI safety, reliability, and assurance
- Secure and resilient machine learning
- LLM safety, security and privacy
- Adversarial robustness and mitigation strategies
- AI-driven cyber security risk analysis
- Formal verification and validation of AI models
- Trustworthy AI in safety-critical systems (e.g., autonomous vehicles, nuclear industry, healthcare and finance)
- Human–AI interaction safety and cognitive trust
- Legal and regulatory aspects of AI safety and security
- Ethical, fairness and transparency aspects of AI safety and security
- AI for dependability enhancement and system resilience
- Federated learning and privacy-preserving AI
- AI incident analysis and failure recovery mechanisms
- New datasets and benchmarks for AI safety and security
- Comparative studies of AI safety and security