Wednesday, August 22, 2018 - 1:30PM - 6:00PM (ICC Capital Suite Room 7+12 - Level 3)
AI is becoming mainstream research driving the new industrial revolution. This is the opportune time for creating roadmaps of understanding the impact of AI on the society and the world. Many countries in the last few years have made national wide initiatives on AI development. In this session, we invited the key players in several national initiatives to discuss on the subject: how we create policies around investment in AI research and education, social policies such as in security, privacy and safety issues of AI. The session is chaired by Dame Wendy Hall, the Regius Professor of Computer Science at the University of Southampton, and the co-chair of the UK government’s AI Review.
Agenda
Session 1: Global AI Initiatives
1:30PM - 4:50PM, ICC Capital Suite Room 7+12
Format: 20 minute presentations with 5 minutes of Q&A.
| Timeslot | Detail |
|---|---|
| 1:30PM - 1:40PM | Welcome and Opening: Wendy Hall |
| 1:40PM - 2:05PM | UK AI Initiative: Sana Khareghani |
| 2:05PM - 2:30PM | US AI Initiative: William Carter |
| 2:30PM - 2:55PM | China AI Initiative: Bo Zhang |
| 2:55PM - 3:20PM | Netherlands AI Initiative: Maarten de Rijke |
| 3:30PM - 4:00PM | Coffee Break |
| 4:00PM - 4:25PM | Singapore AI Initiative: Tze-Yun Leong |
| 4:25PM - 4:50PM | Estonia AI Initiative: Ott Velsberg |
Session 2: Panel Discussion
5:00PM - 6:00PM, ICC Capital Suite Room 7+12
Chair: Wendy Hall
Subject: How we create policies around investment in AI research and education, social policies such as in security, privacy and safety issues of AI.
Panelists: Sana Khareghani, Ed Felton, William Carter, Bo Zhang, Maarten de Rijke, Tze-Yun Leong, Ott Velsberg
Speakers and Panelists
 | Wendy Hall Dame Wendy Hall, DBE, FRS, FREng is Regius Professor of Computer Science, Pro Vice-Chancellor (International Engagement) at the University of Southampton and is the Executive Director of the Web Science Institute. With Sir Tim Berners-Lee and Sir Nigel Shadbolt she co-founded the Web Science Research Initiative in 2006 and is the Managing Director of the Web Science Trust, which has a global mission to support the development of research, education and thought leadership in Web Science. She became a Dame Commander of the British Empire in the 2009 UK New Year’s Honours list and is a Fellow of the Royal Society. She has previously been President of the ACM, Senior Vice President of the Royal Academy of Engineering, a member of the UK Prime Minister’s Council for Science and Technology, a founding member of the European Research Council and Chair of the European Commission’s ISTAG 2010-2012, and a member of the Global Commission on Internet Governance.
She was co-Chair of the UK government’s AI Review, which was published in October 2017, and has recently been announced by the UK government as the first Skills Champion for AI in the UK. |
 | Sana Khareghani Sana Khareghani is the Deputy Director Head of Office for Artificial Intelligence. She is responsible for running the new joint Office for Artificial Intelligence for Department for Digital, Culture, Media and Sport (DCMS) and Business, Energy and Industrial Strategy (BEIS). |
 | William Carter William A. Carter is the Deputy Director of the Technology Policy Program at CSIS, and leads the Center’s research on artificial intelligence. His research focuses on international cyber and technology policy issues, including artificial intelligence, cyber conflict and deterrence, surveillance and privacy, data localization, financial sector cybersecurity, and law enforcement and technology, including encryption. He has testified before the U.S. Congress and spoken at events and conferences around the world, and has participated in Track 2 dialogues on cyber and technology policy issues with China, Russia and Australia. Before joining CSIS, he worked at Goldman Sachs, where he studied on geopolitics and international affairs and their impact on markets. He previously worked at the Council on Foreign Relations and at Caxton Associates, a New York hedge fund. He graduated from New York University with a B.A. in economics. |
 | Bo Zhang Bo Zhang is now a professor of Computer Science and Technology Department of Tsinghua University, the dean of Institute for Artificial Intelligence, the fellow of Chinese Academy of Sciences. In 2011, Hamburg University awarded him Honorary Doctor of Natural Sciences. He is now the member of Technical Advisory Board of Microsoft Research Asia. He is engaged in the research on artificial intelligence, artificial neural networks, machine learning, and so on. And he also is engaged in the research applying technology that applies the theories mentioned above into pattern recognition, knowledge engineering, and robotics. In these fields, he has published over 200 papers and 5 monographs. His academic achievement won ICL European Artificial Intelligence Prize, etc. In addition, he took part in building up the State Key Lab of Intelligent Technology and Systems and served as director of the lab from 1990 to 1996.
Recently, he found research group for cognitive computation and multimedia information processing. The group has got some important results in artificial intelligence, machine learning, image and video analysis and retrieval. |
 | Maarten de Rijke Maarten de Rijke is professor of Information Retrieval in the Informatics Institute at the University of Amsterdam. He is a member of the Royal Netherlands Academy of Arts and Sciences (KNAW) and a recipient of a Pioneer Personal Innovation grant, the 2017 Tony Kent Strix Award, industrial grants from Bloomberg, Criteo, Google, Microsoft, and Yahoo as well as a large number of grants from the Netherlands Organization for Scientific Research (NWO).
De Rijke leads the Information and Language Processing Systems group, one of the world’s leading academic research groups in information retrieval. His research focus is at the interface of information retrieval and artificial intelligence, with projects on online and offline learning to rank, recommender systems, and conversational search.
He is the director of the newly established Innovation Center for Artificial Intelligence, an open collaboration between academic and industrial partners aimed at innovation and talent development in AI. |
 | Tze Yun Leong Tze Yun Leong is Director of AI Technology at AI Singapore. She is Professor of Practice of Computer Science at the School of Computing, National University of Singapore. She is an elected Fellow of the American College of Medical Informatics (ACMI) and a founding Member of the International Academy of Health Sciences Informatics (IAHSI). Tze Yun received her SB, SM, and PhD degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT), USA. Her research interests include decision-theoretic artificial intelligence, cognitive modeling, machine learning, adaptive computing and biomedical and health informatics. She has served on editorial boards and program committees of leading international journals and conferences in artificial intelligence and biomedical informatics. She has contributed to panels and committees that advise on the R&D directions and education in Computer Science, Artificial Intelligence and Biomedical and Health Informatics in Singapore and abroad. She is also a technopreneur and participates in the technology start-ups ecosystem. |
 | Ott Velsberg Ott Velsberg’s current position is with the Estonian government, working as the Chief Data Officer. As a CDO, his mission is to promote and support the use of open data and artificial intelligence in the public sector. He is also a PhD researcher in the department of Informatics at Umeå University and Uppsala University. Much of his research has concentrated on the use of information systems in the public sector, with a special focus on the use of the Internet of Things (IoT). |
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KDD 2018 - London, United Kingdom. 19 - 23 August 2018
The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.
