This school is held at specific seasonal periods, one every summer, and aims to foster collaboration, knowledge exchange and skills development in a multicultural environment. Its main objectives are:
Interdisciplinary approach
Online educational content, such as explanatory videos, infographics and articles, addressing topics related to AI and cybersecurity. This material could be shared on scientific dissemination platforms and social networks to reach a wider audience, and with the entire UGR-ADIA Lab network.
Multicultural environment
The school welcomes participants from diverse backgrounds, which creates an enriching and stimulating learning environment, including the UGR-ADIA Lab network, allowing to gain a global perspective and develop intercultural skills.
Intensive training programme
This combines keynote lectures, practical workshops, team-building sessions and networking activities. This gives participants the opportunity to acquire new skills, improve their research capacity and strengthen their collaboration skills in a fully immersive environment.
Collaboration on research projects
During the school, the formation of multidisciplinary working groups is encouraged. These groups will work on joint research projects, where they apply the knowledge and skills acquired during the training. This collaboration encourages the exchange of ideas, problem solving and the development of innovative solutions.
Leading speakers and experts
La escuela cuenta con la participación de reconocidos expertos y académicos internacionales, quienes imparten conferencias magistrales y talleres especializados sobre temas de vanguardia y comparten su experiencia en investigación y colaboración internacional.
These theoretical and practical experiences will help consolidate learning and strengthen the practical skills needed to meet the emerging challenges in these evolving fields.
The first edition of this International Summer School on “Trustworthy, Safe, and Governable AI” brought together 52 students, both national and international, for two weeks of training thanks to the participation of researchers in various fields. Held from July 15 to 26 with an ambitious 10-day program delivered by 28 speakers, the event also included group work sessions among participants to solve a series of challenge
This International Summer School took place at the UGR AI building of the University of Granada, home to the DaSCI institute in the Granada Technology Park. In addition, attendees were offered the opportunity to stay at the Residencia Colegio Mayor Isabel la Católica, affiliated with the University of Granada. All of this was complemented by a rich social program that provided time for interaction and networking between students and speakers, sparking discussions on original research topics that participants may
The main learning objectives of the summer school were to provide participants with a comprehensive understanding of the key aspects of AI that contribute to building confidence in its applications. Through a series of lectures and examples, participants explored ethical considerations in AI, the principles of trust and safety, the detection and mitigation of bias, strategies to ensure fairness and address discrimination, as well as the importance of explainability in AI systems. In addition, participants delved into advanced topics such as causal AI and generative AI, understanding their implications for trustworthiness. Privacy and data governance, cybersecurity, and AI governance and regulation have been addressed, with an emphasis on their role in building trust. By the end of the summer school, participants have acquired the knowledge and tools necessary to design technically robust, ethically sound and trustworthy AI systems.
Speakers:
He is Professor of the Department of Computer Science and Artificial Intelligence at the University of Granada and Director of the Andalusian Institute for Research in Data Science and Computational Intelligence (DaSCI). Member of the Royal Academy of Sciences in Spain.
Assistant Professor in the Department of Machine Learning at the Mohamed Bin Zayed University of Artificial Intelligence in Abu Dhabi, United Arab Emirates.
Co-Chair of the United Nations Artificial Intelligence Advisory Body, former Secretary of State for Digitalisation and Artificial Intelligence, Spain.
Director of the 6G Research Centre, Computer and Communications Engineering at Khalifa University of Science and Technology in Abu Dhabi, United Arab Emirates.
Director of the Simons Institute for Computational Theory at the University of California at Berkeley, USA.
ICREA research professor and director of the BCN-AIM at the University of Barcelona, Spain.
GenAI/ML CE Specialist Manager at Google Cloud, Spain.
Director of Innovation at Nazaríes / Intelligenia, Spain.
Head of AI Strategy and Governance at Minsait, Spain.
Professor of Mathematics at the University of Toronto and Director of Risklab in Toronto, Canada.
Research Scientist at Google, USA.
Research Scientist at Google DeepMind, UK.
Global Head of Quantitative R&D at the Abu Dhabi Investment Authority, Professor of Practice at Cornell University's College of Engineering, Research Associate at Lawrence Berkeley National Laboratory (US Office of Science) and Professor of Practice in the Department of Mathematics at Khalifa University, Abu Dhabi, United Arab Emirates.
Scientific Officer at the European Commission, Joint Research Centre.
Researcher at the Barcelona Supercomputing Center, Spain.
Professor at the Faculty of Economics, University of Porto and INESC TEC, Portugal.
Professor of Statistics at the University of Pavia and Professor of Machine Learning at the European University Institute, Italy.
Professor of Computer Science and Artificial Intelligence at the University of A Coruña, Spain.
Advanced Mathematics Advisor at Repsol, Spain.
Senior Scientist in Advanced Mathematics at Repsol, Spain.
Co-founder and CEO of CausaLens, UK.
Senior Research Engineer in AI, Thales, France.
PhD in Computer Science from the University of Granada, Spain. Her research focuses on Natural Language Processing, Deep Learning, Federated Learning and Adversarial Attacks. Member of the postdoctoral team at the Andalusian Institute for Data Science and Computational Intelligence Research (DaSCI), Spain.
Head of quantitative research and development at ADIA Lab, United Arab Emirates.
Professor at the Poznan University of Technology, Institute of Computer Science, and elected member of the Polish Academy of Sciences, Poland.
D. in Computer Science from Oxford University, where he also holds an MSc in Mathematics and Theoretical Foundations of Computer Science. His research focuses on the security and algorithmic efficiency of LLMs, as well as the theoretical foundations of machine learning. Member of the postdoctoral team at the Andalusian Institute for Data Science and Computational Intelligence Research (DaSCI), Spain.
Research Engineer at Acuratio, Donostia-San Sebastián, Spain.
