This interdisciplinary Summer School explores how Artificial Intelligence can be designed, developed, and implemented to prioritize human values, foster inclusion, and promote equity across diverse social contexts. It brings together a broad range of participants and speakers from the member universities of the Circle U. Alliance, creating a dynamic and collaborative learning environment. Participants will engage in lectures, workshops, case studies, and hands-on group projects, gaining both theoretical knowledge and practical tools to design AI systems that are inclusive, equitable, and human-centered. Collaborative sessions will encourage interdisciplinary exchange, creative thinking, and critical reflection on the societal role of AI.
Level / Target group
This Summer School is tailored for:
- PhD students in computer science, computer engineering, data science, law, and social sciences
- Postdoctoral researchers
- Early-career researchers
- Professionals working on ethical and responsible AI
- Policymakers and practitioners involved in AI governance and social impact
Reasons to apply
- Gain in-depth knowledge of human-centered, inclusive, and equitable AI design
- Work in an interdisciplinary, international setting
- Participate in collaborative projects and peer exchange
- Learn from leading academics and practitioners from Circle U. partner universities
- Enhance your academic and professional profile with a focus on ethical and responsible AI
Key topics
- Human-AI interaction and participatory design
- Algorithmic bias, fairness, and accountability
- Responsible and explainable AI
- AI policy, regulation, and societal impacts
The programme includes
- 35 hours of in-person lectures, workshops, and group work
- 15 hours of preparatory reading
- Final group presentations and reports (10 hours)
Read the final programme (pdf)
How to apply
- Application deadline: 30 June 2025
- No preselection or nomination process is required.
Application has to be submitted via Alice portal following the instructions of the “How to apply” page.
Costs and funding
- Fees: No participation fees
- Included: Daily breaks and lunches
- Not included: Travel and accommodation (to be covered by participants)
Participants are encouraged to check with their home institutions for possible funding opportunities.
Admission requirements
- Background in relevant academic fields (AI, computer science, social sciences, law, etc.)
- Interest or experience in topics related to ethical, inclusive, and human-centered AI
Lecturers
- Prof. Francesco Marcelloni, Università di Pisa – Academic Director of the Knowledge Hub on Artificial Intelligence
- Additional lecturers and guest speakers from Circle U. partner universities and professional networks
