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Expert Panel on AI and Sustainability
Monday, January 30, 2023
11:15 am - 12:15 pm 
Online Webinar
The world faces major challenges in meeting existing climate goals: is AI the solution? Or is it part of the problem, given its potential for high energy consumption? A panel of global AI experts will discuss the cost/benefit analysis of working with large language models (GPT-3 or MT-NLG), the trajectory of modern AI, and the role AI will play as a key driver of the Fourth Industrial Revolution.
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Phil Blunsom
Chief Scientist at Cohere.AI, Professor at Oxford, formerly the NLP lead at Google DeepMind
Blunsom’s research interests lie at the intersection of machine learning and natural language processing. He is a pioneer in the adoption of deep learning to natural language processing and machine translation, and the developer of a large number of breakthrough architectures and benchmark datasets.
Daniela Rus
Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science, and the Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT.
Rus’ research interests are in robotics, mobile computing, and data science. Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering, and the American Academy for Arts and Science.
Eric Xing
MBZUAI President and University Professor
Xing’s research interests focus on the development of machine learning and statistical algorithms, and large-scale computational systems and architectures, for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in artificial, biological, and social systems.
Timothy Baldwin
MBZUAI Acting Provost, Associate Provost for Academic Affairs, Acting Department Chair of Natural Language Processing, and Professor of Natural Language Processing
Baldwin’s primary research focus is on natural language processing (NLP), including deep learning, algorithmic fairness, computational social science, and social media analytics.
Meet the panelists
Phil Blunsom
Chief Scientist at Cohere.AI, Professor at Oxford, formerly the NLP lead at Google DeepMind
Blunsom’s research interests lie at the intersection of machine learning and natural language processing. He is a pioneer in the adoption of deep learning to natural language processing and machine translation, and the developer of a large number of breakthrough architectures and benchmark datasets.
Daniela Rus
Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science, and the Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT.
Rus’ research interests are in robotics, mobile computing, and data science. Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering, and the American Academy for Arts and Science.
Eric Xing
MBZUAI President and University Professor
Xing’s research interests focus on the development of machine learning and statistical algorithms, and large-scale computational systems and architectures, for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in artificial, biological, and social systems.Moderated by
Timothy Baldwin
MBZUAI Acting Provost, Associate Provost for Academic Affairs, Acting Department Chair of Natural Language Processing, and Professor of Natural Language Processing
Baldwin’s primary research focus is on natural language processing (NLP), including deep learning, algorithmic fairness, computational social science, and social media analytics. Venue
Online Webinar