AIS26 – AI SUMMIT Styria 2026

We warmly invite you to submit contributions from industry and academia that describe original and unpublished results from applied research on Generative AI and its application in software engineering and IT security.

Topics & Tracks

 An exemplary list of possible topics can be found here:

Foundations & 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

  • Integrating 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-assisted formal verification
  • Automated code reviews & defect prediction
  • AI for performance testing & monitoring
  • Automated code documentation
  • Detecting architectural patterns & automated validation
  • Specializing language models for existing codebases

IT Security

  • Automated penetration testing & ethical hacking
  • Intrusion & anomaly detection (incl. IoT & critical infrastructure)
  • AI-based malware & phishing detection
  • AI for vulnerability detection in code & patch generation
  • AI-assisted secure software architecture & threat modeling
  • AI-assisted 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-supported software development
  • Compliance, data protection (GDPR), and liability issues
  • Regulatory requirements for critical systems
  • Bias mitigation and ethical guidelines in development & testing
  • Acceptance, trust, and transparency in automated processes
  • Cost–benefit analyses for deploying Generative AI
  • Business models and ROI for AI-supported development and security solutions
  • Practical examples of AI integration in companies
  • Lessons learned from pilot projects in software engineering and IT security

Submission

Submitted papers will undergo a peer-review process and will be evaluated based on originality, timeliness, correctness, and relevance to the conference. Previously published papers cannot be submitted.
Accepted papers will be published in the AIS26 Conference Proceedings.
Submissions via: EasyChair Submission.

Template

Please use the following template for your submission:

Submissions must meet the following requirements:

Format: PDF

Length: 4–12 pages

Language: English

Presentation language: German / English

– Length of the abstract for poster contributions: 2–4 pages

Timeline

Full Paper Submission (talks & poster): 29 May 2026

Author Notification: 30 June 2026

Camera-Ready Submission: 11 September 2026

Main Conference: 22–23 October 2026

Patrick Ratheiser

Patrick Ratheiser ist ein führender Experte für Künstliche Intelligenz, Unternehmer und Keynote-Speaker. Mit über 170 real umgesetzten KI-Projekten und mehr als 250 Auftritten als Vortragender macht er KI für Unternehmen praxisnah und verständlich nutzbar. Er hat Betriebswirtschaft (MSc) und Informatik (Dipl.-Ing.) studiert, war Gründer und CEO eines international erfolgreichen KI-Startups und ist heute Director und Head of AI bei EY Österreich. Zudem lehrt er als freier Universitätslektor zu KI-Strategie und Entrepreneurship und ist Vorstandsmitglied bei AI Austria. Patrick Ratheiser wurde vom Forbes Magazin als einer der führenden KI-Experten Österreichs ausgezeichnet.