AISyS 2027 conference tracks:

Core AI-features
AI concepts, methodology and algorithms (agents, environments, expert systems, neural networks, deep thinking)
AI support (Big Data, Machine learning, Deep learning)
AI stages (narrow, general, super)
AI types (reactive machines, limited memory, theory of mind, self-awareness)
Generative AI
AI Uncertainty
(Trustability, Responsibility, Uncertainty) in AI
Transparency and interpretability of AI-based applications
AI-based system explainability
Responsible AI ( fairness, transparency, explainability, security, privacy)
Ethics and personalized data

AI-based systems
AI-based policies for designing, deploying, and maintaining complex systems
AI for Industry 4.0/5.0
AI-based for precision agriculture
AI-based for precision medicine
AI-based tracking systems
AI-driven transportation systems
AI-predicting emergency events in 5G and 6G systems
AI-based cyber-systems resiliency
AI-human-centered cybersecurity
AI-based natural language processing systems

AI-based societal services
Impact of AI on society and humans: services, advantages, and risks
Governmental regulations over the AI development lifecycle
Application/corporation certification
Economic paradigms
Financial services, (investment optimization, transactional fraud detection)
Education services for society awareness
Human-in-the-loop decisions; decide vs. assist paradigms
Manipulations and bias in AI-based services
Data governance and citizens data sharing
AI-planed regulations in USA and EU