Our research team explores the integration of Artificial Intelligence into public services, learning systems, and democratic processes. We are particularly interested in how AI can support personalization, automation, and decision-making, while maintaining accountability and transparency.

• Chatbots and conversational agents in e-services
• Natural Language Processing for policy and deliberation analysis
• Machine learning for predictive public services
• Responsible and explainable AI (XAI) in the public sector
• AI-supported learning analytics and personalization

We monitor emerging trends such as generative AI in education and government, hybrid human-AI decision-making, and AI for social good. Our team contributes to ongoing discussions on AI ethics, bias mitigation, and governance, recognizing the importance of building AI systems that are inclusive, trustworthy, and human-centered.