The AI SUMMIT Styria is the platform for young researchers, experts, and practitioners engaged with current developments and challenges in artificial intelligence. The focus is on questions related to Large Language Models (LLMs), Generative AI, multi-agent systems, MLOps & LLMOps, as well as software and system architectures for AI applications. In addition, practice-oriented topics such as software engineering, IT security, regulatory frameworks, and ethical guidelines are addressed. Particular attention is given to the integration of GenAI into development processes (SDLC & CI/CD), AI-supported software engineering – from requirements engineering through automated testing to documentation – as well as the safe and responsible use of AI in critical systems.

Submission Guidelines

• PDF format
• Length: 4–12 pages
• Language: English
• Presentation language: German or English

Fundamentals & Infrastructure

• Retrieval-Augmented Generation (RAG)
• LLM-based agent architectures
• Collaboration & self-organization in multi-agent systems
• MLOps & LLMOps for AI systems
• System & software architectures for AI
• Selection, deployment, and roll-out of LLMs & generative AI
• Handling overconfidence and hallucinations
• Evaluation metrics and validation rules

Software Engineering

• Integration of GenAI into SDLC & CI/CD
• AI for requirements engineering & architecture design
• AI-assisted code generation, refactoring & performance optimization
• Context-aware code suggestions
• Automated test case generation & test suite optimization
• Regression testing & coverage analysis
• AI-supported formal verification
• Automated code reviews & defect prediction
• AI for performance testing & monitoring
• Automated code documentation
• Detection of architectural patterns & automated validation
• Specialization of language models on existing codebases

IT Security

• Automated penetration testing & ethical hacking
• Intrusion & anomaly detection (incl. IoT & critical infrastructures)
• Malware & phishing detection with AI
• AI for vulnerability detection in code & patch generation
• AI-assisted secure software architecture & threat modeling
• AI-driven network protocols & anomaly analysis
• Detection of web vulnerabilities (SQLi, XSS, …)
• AI-supported attack prevention & privacy
• Standardized datasets & tools for reproducible research

Interdisciplinary

• Legal frameworks for AI-assisted software development
• Compliance, data protection (GDPR), and liability issues
• Regulatory requirements for critical systems
• Bias prevention and ethical guidelines in development & testing
• Acceptance, trust, and transparency in automated processes
• Cost-benefit analyses for the use of generative AI
• Business models and ROI for AI-driven development and security solutions
• Practical examples of AI integration in enterprises
• Lessons learned from pilot projects in software development and IT security

Venue

The conference will be held in Kapfenberg, Styria

Contact

All questions about submissions should be emailed to ...