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The Web Search Revolution
August 17 @ 9:30 am - 4:30 pm AEST
Join us for a symposium in Melbourne and online on the past, present and future of web search - Google, ChatGPT, Bing, and beyond.
The world of search has undergone a remarkable transformation, from simple keyword queries to a complex, all-pervasive automated decision-making system.
With this year marking two important anniversaries: 25 years since Google’s founding and 30 years since the release of the first web search engine, JumpStation, it’s a timely opportunity to reflect on the profound impact of search on society. The rise in prominence of ChatGPT and other generative AI systems also offers an opportunity to examine the future of information access.
Join us for the The Web Search Revolution: The Past, Present, and Future of Web Search – Google, ChatGPT, Bing, and Beyond, a one-day interdisciplinary event that will delve into the history, evolution, and future of search. Our speakers, including distinguished researchers in the field of search engines and industry experts, will explore the following questions:
- What has been the societal impact of this near-ubiquitous technology?
- What lessons can we learn from the success and pitfalls of introducing search to large-scale platforms?
- How will generative AI shape the future of information access?
The event will culminate in a lively evening debate: Generative AI Should Be Stopped! (Register separately here).
Don’t miss this unique opportunity to engage with leading thinkers and gain new insights into one of the defining technologies of our time.
Dr Susan Dumais
Technical Fellow & Managing Director
Microsoft Research New England
Susan Dumais is a Technical Fellow at Microsoft, directing Research Labs in Cambridge, New York City, and Montréal, and an adjunct professor at the University of Washington. Before, she was at Bell Labs where she developed Latent Semantic Analysis, an early word embedding technique for search. Her current research focuses on large-scale language modeling, behavioral log analysis, personalization, and email search. Susan has published widely in information retrieval (IR), human-computer interaction (HCI), and cognitive science. Susan contributed to search innovations across Microsoft Bing, Windows, SharePoint, and Office. She is an ACM Fellow, was elected to the CHI and SIGIR Academies, the National Academy of Engineering (NAE), and the American Academy of Arts and Sciences (AAAS). Her outstanding contributions in IR have been recognized with SIGIR Gerard Salton Award and Tony Kent Strix Award. Her pioneering work in computer science and HCI has awarded the ACM Athena Lecturer, SIGCHI Lifetime Research Awards, Lifetime Achievement Award from Indiana University’s Department of Psychological and Brain Science.
Prof Chirag Shah
Information and Computer Science
University of Washington
Chirag Shah is Professor of Information and Computer Science at University of Washington (UW) in Seattle. He is the Founding Director for InfoSeeking Lab and Founding Co-Director of Center for Responsibility in AI Systems & Experiences (RAISE). He works in the area of intelligent information access systems, focusing on task-oriented search, proactive recommendations, and conversational systems. He is also engaged in work with generative AI, specifically in information access and image classification problems. In addition to creating AI-driven information access systems that provide more personalized reactive and proactive recommendations, he is also focusing on making such systems transparent, fair, and free of biases.
Shah is a Distinguished Member of Association of Computing Machinery (ACM) as well as Association for Information Science & Technology (ASIS&T). He is the recipient of the 2019 Microsoft BCS/IRSG Karen Spärck Jones Award. He has published nearly 200 peer-reviewed articles and authored seven books, including text books on data science and machine learning. He also works closely with industrial research labs on cutting-edge problems, typically as a visiting researcher. The most recent engagements included Spotify (2018), Amazon (2019), MSR AI (2020), Getty Images (2021), and Microsoft Research (2023).