Search Engines: From the Lab to the Engine Room, and Back
Prabhakar Raghavan is a Senior Vice President at Google, where his responsibilities include Google Search, Assistant, Geo, Ads, Commerce and Payments. Prabhakar is one of the foremost authorities on Search and is the co-author of two widely-used graduate texts on algorithms and on search: Randomized Algorithms and Introduction to Information Retrieval. He has over 20 years of research spanning algorithms, web search ,and databases, has published over 100 papers, and holds 20 issued patents, including several on link analysis for web search.
Prior to joining Google in 2012, he founded and led Yahoo! Labs, served as CTO at Verity, and held various leadership positions at IBM Research. Prabhakar holds a Ph.D. from U.C. Berkeley in Electrical Engineering and Computer Science and a Bachelor of Technology from the Indian Institute of Technology, Madras.
He is a member of the National Academy of Engineering; a Fellow of the ACM and IEEE; a former editor in chief for the Journal of the ACM; and was a Consulting Professor of Computer Science at Stanford University. In 2009, he was awarded a Laurea honoris causa from the University of Bologna.
Responsible AI: From Principles To Action
Virginia Dignum is Professor of Responsible Artificial Intelligence at Umeå University, Sweden and associated with the TU Delft in the Netherlands. She is the director of WASP-HS, the Wallenberg Program on Humanities and Society for AI, Autonomous Systems and Software, the largest Swedish national research program on fundamental multidisciplinary research on the societal and human impact of AI.
She is a member of the Royal Swedish Academy of Engineering Sciences, and a Fellow of the European Artificial Intelligence Association (EURAI). Her current research focus is on the specification, verification and monitoring of ethical and societal principles for intelligent autonomous systems.
She is committed to policy and awareness efforts towards the responsible development and use of AI, as member of the European Commission High Level Expert Group on Artificial Intelligence, the working group on Responsible AI of the Global Partnership on AI (GPAI), the World Economic Forum’s Global Artificial Intelligence Council, lead for UNICEF’s guidance for AI and children, the Executive Committee of the IEEE Initiative on Ethically Aligned Design, and as founding member of ALLAI, the Dutch AI Alliance. Her book “Responsible Artificial Intelligence: developing and using AI in a responsible way” was published by Springer-Nature in 2019.
How the Web Will Shape the Hybrid Work Era
Jaime Teevan is Chief Scientist and Technical Fellow at Microsoft, where she is responsible for driving research-backed innovation in the company’s core products. Jaime is an advocate for finding smarter ways for people to make the most of their time, and believes in the positive impact that breaks and recovery have on productivity. She leads Microsoft’s future of work initiative, which brings researchers from Microsoft, LinkedIn, and GitHub together to study how the pandemic has changed the way people work.
Previously she was Technical Advisor to CEO Satya Nadella and led the Productivity team at Microsoft Research. Jaime has received numerous awards for her research, including the Technology Review TR35, Borg Early Career, Karen Sparck Jones, and SIGIR Test of Time awards. She holds a Ph.D. in AI from MIT and a B.S. from Yale, and is affiliate faculty at the University of Washington.