Collaborative AI lab
The Collaborative AI Lab (CAIL) was established through a strategic partnership between SDA Bocconi School of Management and the Department of Computing Sciences at Bocconi University. The Lab aims to foster the convergence of expertise, stakeholders, and technologies to address complex problems through advanced scientific research and cutting-edge industrial applications.
CAIL promotes close and integrated collaboration between researchers and professionals from partner companies. Within a shared environment, the Lab develops advanced AI research, leveraging high computational capacity while consistently safeguarding data privacy, security, and ownership.
CAIL is part of Bocconi University’s broader education and research initiative on AI, in collaboration with Fondazione Compagnia di San Paolo.
Mission
The mission of CAIL is to facilitate the convergence of:
- Advanced research: promoting scientific innovation in the most advanced fields of AI.
- Cutting-edge technologies: leveraging High Performance Computing (HPC) resources and state-of-the-art technologies.
- Outstanding expertise: integrating researchers, engineers, students, domain experts, and companies.
- Academic and industrial interests: translating fundamental research into real-world applications.
- Multidisciplinary approaches: bringing together computer science, data science, economics, ethics, law, and behavioral sciences.
The Collaborative AI Lab aims to become a platform for cooperation and partnership, capable of generating sustainable innovation and high-impact applications for businesses, institutions, and society.
Modern AI research and deployment must be grounded in ethics, privacy, and security. At the Collaborative AI Lab, we develop advanced cryptographic solutions to ensure that all data is processed securely, enabling trustworthy collaboration and real-world impact.
State-of-the-art AI requires specialized engineering expertise and extensive computational infrastructure, whether for fundamental research or practical applications. If we want to preserve autonomy from the few major AI platforms, it is vital for our institutions to acquire those capabilities. The ...
Highlight
The Collaborative AI Lab stands out for its ability to bring together expertise, technologies, and perspectives from different worlds. The Lab’s strength lies in the integration of scientific excellence and advanced industrial applications: researchers, students, and companies collaborate daily in a shared environment where ideas and data can converge securely and safely.
This is further enhanced by access to high-performance computing resources and the expertise of the Department of Computing Sciences at Bocconi University, enabling the Lab to tackle complex problems with state-of-the-art tools. The Lab’s approach is deeply multidisciplinary: artificial intelligence engages with economics, ethics, management, and other disciplines to develop innovative, responsible, and truly applicable solutions.
Objectives
CAIL was founded with the ambition of contributing to the advancement of artificial intelligence both scientifically and in terms of applications. Its primary objective is to promote cutting-edge research spanning from fundamental AI to scalable solutions for businesses, creating a strong bridge between theory and practice.
The Lab also seeks to strengthen the role of Europe and Italy in the global AI competition, offering an environment in which universities and companies can cooperate to generate sustainable innovation. At the same time, CAIL positions itself as a hub for attracting and developing top talent in the field, fostering growth paths that support a new generation of specialists, researchers, and technology leaders.
Finally, through partnerships, events, and outreach activities, the Lab aims to create an ecosystem capable of disseminating knowledge, strengthening skills, and generating a positive impact on businesses, institutions, and society.
Audience and target
The Collaborative AI Lab addresses a broad and diverse range of stakeholders. Companies seeking to better understand the potential of AI or to develop advanced applications find in the Lab a scientific and operational partner with whom to explore new opportunities.
At the same time, managers, professionals, and policymakers interested in AI, security, and governance can access up-to-date content, informational initiatives, and tools to navigate a rapidly evolving technological landscape.
In this way, the Lab creates a meeting place for anyone wishing to contribute to the development of advanced, responsible, and socially beneficial artificial intelligence.
Membership
CAIL offers various corporate membership models, characterized by flexible and scalable benefits and levels of access. Each model includes scientific activities, events, access to research results, student engagement, and dedicated advisory sessions.
Activities
- Research areas
CAIL’s research focuses on:
- Deep learning, reinforcement learning, generative AI.
- Security, privacy, and cryptography applied to AI.
- HPC technologies for AI.
- Cross-industry AI applications.
- Methods for responsible and trustworthy AI.
- Special initiatives
- Customized and pilot projects with participating companies.
- Development of advanced privacy and security protocols.
- Cryptography-for-AI initiatives conducted with the Department of Computing Sciences.
- Events
• Research Talks throughout the year on cutting-edge topics.
• Presentations of results from applied projects and tailored initiatives.
• Annual Event at SDA Bocconi to share developments, perspectives, and build a national AI community.
Output
The Lab produces:
- Results in fundamental AI research.
- Scientific papers and publications.
- Application solutions and prototypes for companies.
- Reports and deliverables related to tailored initiatives.
- Contributions on security, privacy, cryptography, and responsible AI.
People
Discover the team of researchers, scholars, and professionals serving on the Strategic Board.
Partner
Discover the partner companies and leading organizations cooperating with the Collaborative AI Lab to carry out advanced scientific research and cutting-edge industrial applications.
