On 6 July 2023, UNU will host “The Future of Artificial Intelligence”, a conversation with Professor Marc Deisenroth, DeepMind Chair of Machine Learning and Artificial Intelligence at University College London (UCL), and the Deputy Director of the UCL Centre for Artificial Intelligence (AI). This event will start at 18:30 in the 2F Reception Hall at UNU Headquarters in Tokyo.
The UN Sustainable Development Goals describe a set of society's grand challenges that need to be tackled for a better future. Rapid advancement of AI technologies in recent years has led some to suggest AI can help to accelerate progress towards achieving SDG targets, but concerns remain that AI may in fact exacerbate some of our global challenges.
Professor Marc Deisenroth will join UNU Executive Officer Sabine Becker-Thierry for a conversation exploring the role of AI in sustainable development. How can we take advantage of AI to achieve the 2030 SDG targets, particularly in areas of climate change, oceans and clean energy? How do we build capacity and skills for artificial intelligence in the context of the SDGs? Will widespread adoption of AI reduce, or in fact increase, gaps between the global North and South?
The UNU Conversation Series aims to foster audience participation; you are encouraged to engage with the speakers during the conversation and at the reception that will follow, where all event attendees are invited to enjoy hors d’oeuvres and drinks while exchanging ideas and making new contacts.
Please note that this event will be in English. Advance registration (by 5 July) is required. Please click on the REGISTER button above to access the online registration page.
Please also note that entry into the venue will not be allowed after 18:45. Additionally, please be prepared to present identification at check-in.
About the speaker
Professor Marc Deisenroth is the DeepMind Chair of Machine Learning and Artificial Intelligence at University College London and the Deputy Director of the UCL Centre for Artificial Intelligence. He also holds a visiting faculty position at the University of Johannesburg. Marc leads the Statistical Machine Learning Group at UCL. His research interests center around data-efficient machine learning, probabilistic modeling and autonomous decision making with applications in climate/weather science and robotics.
In 2018, Marc received The President’s Award for Outstanding Early Career Researcher at Imperial College. He is a recipient of a Google Faculty Research Award and a Microsoft PhD Grant.
In 2018, Marc spent four months at the African Institute for Mathematical Sciences (Rwanda), where he taught a course on Foundations of Machine Learning as part of the African Masters in Machine Intelligence. He is co-author of the book "Mathematics for Machine Learning" (2020), published by Cambridge University Press.