ACM Keynote: AI for Social Good: What Next?

The international community has had a lot of discussions about the beneficial use of AI as well as about principles which should govern new social norms and legislation about its use, but we have yet to see more than good will declarations. How do we move forward to more concrete next steps? We discuss some of the topics which could use international collaboration, in areas of data sharing, drug discovery, social media, and international collaborative projects.

Speakers, Panelists and Moderators

    Founder and Scientific Director
    Mila - Quebec AI Institute
    Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. Since 1993, he has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. He is the founder and scientific director of Mila, the Quebec Institute of Artificial Intelligence, the world’s largest university-based research group in deep learning. He is a member of the NeurIPS board and co-founder and general chair for the ICLR conference, as well as program director of the CIFAR program on Learning in Machines and Brains and is Fellow of the same institution. In 2018, Yoshua Bengio ranked as the computer scientist with the most new citations, worldwide, thanks to his many publications. In 2019, he received the ACM A.M. Turing Award, “the Nobel Prize of Computing”, jointly with Geoffrey Hinton and Yann LeCun for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. In 2020 he was nominated Fellow of the Royal Society of London.
    President of ACM
    Gabriele Kotsis is full professor in computer science at Johannes Kepler University (JKU), Linz, Austria, leading the Department of Telecommunication and the division of Cooperative Information Systems. Both, her Master Thesis (1991) and her Phd (1995), which she received from the University of Vienna, have been awarded for scientific excellence by the Austrian Computer Society. Her scientific contributions include seminal work in the field of workload characterisation for parallel and distributed systems and in performance management of computer systems with a specific focus on mobile and ubiquitous computing environments. Gabriele Kotsis was vice-rector for Research at JKU, and longstanding chairwoman of Universities Austria's Policy Committee on Research. She is a distinguished member and current president of the Association for Computing Machinery (ACM).
    Chief Innovation Officer; Chair of the AI for Good Programme Committee
    My general focus is on identifying and developing emerging and transformative technologies that can impact society in significant and exponential ways. I do this by helping create interdisciplinary frameworks for understanding and planning new developments and the funding required to bring new innovations to market. I help start, grow, and run innovative ventures, and focus on working with startups and growth-oriented companies on products and initiatives that could trigger significant breakthrough with substantial economic and societal impact. Particular emphasis on machine learning and predictive systems, IoT, knowledge sharing and crowdsourcing, Education, and digital health. I usually help teams on initial market opportunity validation, product roadmap strategy, pricing and business model, go-to-market operations, fundraising and mentorship, Mergers and high-growth partnerships. I also have managed a few private and public technology investment and venture capital funds and know how to establish fund operations and their overall strategies and requirements. I enjoy teaching and have been a guest lecturer and adjunct professor at UC Berkeley, HEC Paris, Chapman University, Claremont McKenna College, and UC Irvine.


29 Sep 2020


CEST, Geneva
17:00 - 17:45