UB Chair on Artificial Intelligence and the Media
Transforming the Media with AI: Towards Innovative Creation, Effective Distribution and Responsible Use.
Director
Presentation
The UB Chair on Artificial Intelligence and the Media was created with the aim of exploring and analysing the impact of artificial intelligence technologies in the creation, distribution and consumption of content through public broadcasting.
The main objective of the chair is to understand how these technologies can transform the processes of content production, optimize information distribution and customise the user’s experience. It also aims to promote the training of professionals with the skills to lead this transformation and contribute to the dissemination of the knowledge created.
From the perspective of the academic framework, the chair will promote collaboration between researchers, professionals in the field and students, offering a space for discussion and the exchange of knowledge and expertise. Other training activities will also be carried out, such as seminars, conferences, workshops and specialized courses to promote a more detailed understanding of AI and its potential in communication media.
The UB Chair on Artificial Intelligence and the Media aims to make a significant contribution to the digital transformation of the media and the development of a more informed, critical and connected society.
Team
Jordi Vitrià joined the University of Barcelona (UB) in 2007 as Full Professor of Computer Languages and Systems. He teaches the introductory course on Algorithms and Data and several advanced courses on Data Science, Deep Learning and Ethics for Data Science. From April 2011 to January 2016 he was the head of the Department of Applied Mathematics and Analysis of the UB. He is currently a member of the new Department of Mathematics and Computer Science. He is also the director of the Master’s Degree in Fundamental Principles of Data Science and the co-director of the postgraduate course in Data Science and AI of the UB.
Oriol Pujol Vila is a full professor at the University of Barcelona in the Department of Mathematics and Computer Science (since 2007). He teaches the course in Agile Project Development Processes, Image Processing and Machine Learning. His research is focused on automatic learning algorithms, specifically on supervised learning and classification, and he is a specialist in computer vision.
Santi Seguí is an associate professor at the University of Barcelona. He has a long scientific trajectory in the fields of computer vision and automatic learning. He completed a PhD in Computer Science in 2011 at the Universitat Autònoma de Barcelona and has spent several periods abroad at leading universities, such as Carnegie Mellon University and the University of Toronto. He has collaborated with several companies in the development of AI solutions to real-world problems. He is also the co-founder of the postgraduate course in Data Science and AI at the University of Barcelona.
