ADIA Lab Summer School Returns to Granada!
Join us for the third edition of the ADIA Lab Summer School, organized together with the University of Granada. This program is designed for top master’s, PhD students, and young professionals, and will explore the forefront of responsible AI in the generative and agentic AI era. The summer school will be held in combination with the IEEE Conference in Granada (May 8–10), offering participants a unique opportunity to engage with cutting-edge research, international experts, and hands-on learning experiences.
To get a better sense of the format, atmosphere, and what the experience is like, we encourage you to watch the two short videos from our previous summer schools in Granada.
ADIA Lab Summer School: Responsible AI in the Generative and Agentic AI Era, in collaboration with the University of Granada, Spain
May 04-14, 2026 | Granada, Spain
Program Overview
The 2026 course program is organized around four clusters, each exploring a key aspect of generative and agentic AI. These clusters shape the structure of the summer school and guide the detailed agenda. A summary of the clusters is provided below, and the full agenda is available through the link. You can also access the session bios and short abstracts to learn more about the speakers and the topics they will cover.
We look forward to a dynamic and interactive program, where each session—led by experts in their fields—will provide participants with valuable insights, practical knowledge, and a deeper understanding of responsible AI in today’s generative and agentic era.
Cluster 1: Generative and Agentic AI – Capabilities and Technical Foundations
- Understanding generative and agentic AI at a technical level: foundational models, agents, tools, and environments.
- Architectures, training, tool use, and agent orchestration.
- Current technical limitations: reasoning, reliability, generalisation, scaling, and coordination between agents.
- Key research challenges shaping the technical agenda for the coming years.
Cluster 2: Building Trustworthy Generative and Agentic Systems
- Generative and agentic systems engineering: designing, implementing, and deploying trustworthy systems in real environments.
- Technical evaluation: benchmarks, red-teaming, and continuous evaluation and monitoring in production.
- Transparency and technical control: explainability, documentation (model and system cards), and traceability of data and decisions.
- Best development practices: testing, MLOps for agents, feedback loops, and responsible updating.
Cluster 3: Responsible Governance, Societal Impact, and Emerging Risks
- Responsible AI frameworks: security, fairness, transparency, privacy, sustainability, and inclusion.
- Governance and regulation: AI Act, standards, soft law, organisational models, audits, and accountability.
- Emerging risks of the generative and agentic era: disinformation, manipulation, mismanaged autonomy, concentration of power, and social and economic dependence.
- Societal impact: effects on work, inequality, democracy, and fundamental rights; mechanisms for public participation and oversight.
Cluster 4: Applications of Generative and Agentic AI in Finance, Health, and Beyond
- Finance: risk management, fraud detection, regulatory compliance, advisory services, and process automation through agents.
- Health: clinical support, medical assistants, data analysis, drug discovery, and research support.
- Other domains: public sector, education, science, creative industries, and advanced services.
- Case studies, lessons learned, and best practices for responsible deployment across different sectors.
Application Requirements & What’s Included
Click below to fill out the application form and attach your CV and a short motivation letter.
Program Cost: €250
Requirements: open to master’s students, PhD candidates, postdoctoral researchers and young professionals with a strong background in AI, machine learning, or related fields.
Application Deadline: Sunday, March 15. We will review applications as they come in and inform accepted participants as soon as possible to allow time for travel arrangements.
What's Included:
Lectures, workshops, and collaborative projects.
Course material, networking and social activities in Granada.
Daily lunch and coffee breaks
What's Not Included:
Participants are responsible for travel, accommodation, and personal expenses.
For accommodation, a student residence option is available through the University of Granada. You can book this option or arrange your own.
Location
The summer school will take place in the charming city of Granada, known for its rich history, stunning architecture, and vibrant culture. The school will be held on the campus of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), part of the University of Granada, located in the south of the city, approximately 15 minutes from the city center by public transportation.
The modern campus offers excellent facilities for lectures and group work, with breakout rooms designed for collaboration. Coffee breaks and lunches will be held in the spacious lobby, and there are also several local restaurants nearby. The campus is easily accessible by public transportation or car.
For convenience, students have the option to book accommodation just a few steps away from the lecture hall, ensuring a comfortable and seamless experience.
Beyond the academic program, participants will have the opportunity to explore Granada’s historic landmarks, including the Alhambra Palace and Generalife Gardens, which provide a unique and inspiring backdrop for the summer school.
