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What is it
Discover how AI can aid in decision-making through generation of intelligent situation reports for addressing natural or man-made disasters.
When
01/12/2023 12:00pm - 1:00pm
Where

Melbourne Connect, The Forum (Level M)

Free
Register here

AI at Melbourne Colloquium Series: AI for Disaster Reporting and Forecasting

Discover how AI can aid in decision-making through generation of intelligent situation reports for addressing natural or man-made disasters.



History has a way of repeating itself. Emerging events like the COVID pandemic, require a time-sensitive comprehensive understanding of the situation to allow for appropriate decision-making and effective action response.

Join Professor Heng Ji from the University of Illinois Urbana-Champaign as she introduces SmartBook, an innovative framework for automated report generation that goes beyond the capabilities of existing AI models like ChatGPT. Professor Ji proposes that SmartBook can create a structured situation report with factual evidence through claim detection, fact-checking, and misinformation detection. Additionally, she will explore how SmartBook can serve as a unique news event simulator or an intelligent predictor, foreseeing conditions and dimensions related to a disaster scenario.

This is the AI at Melbourne Colloquium Series, a program of talks on the future of Artificial Intelligence at The University of Melbourne.

Event Details

  • 12:00-1:00pm: Presentation and Q&A
    The Forum, Mezzanine Level

  • 1:00-2:00pm: Refreshments and Networking
    The Forum, Mezzanine Level

  • Venue: Melbourne Connect
    700 Swanston St Carlton 3053

About the Speaker

Heng Ji is a professor at Computer Science Department of University of Illinois Urbana-Champaign. She is an Amazon Scholar. She is the Founding Director of Amazon-Illinois Center on AI for Interactive Conversational Experiences (AICE). She received her B.A. and M.A. in Computational Linguistics from Tsinghua University and her M.S. and Ph.D. in Computer Science from New York University. Her research interests focus on Natural Language Processing, especially on Multimedia Multilingual Information Extraction and Knowledge-enhanced Large Language Models. Some awards include “Young Scientist” by World Laureates Association in 2023; "Young Scientist" and a member of the Global Future Council on the Future of Computing by the World Economic Forum in 2016 and 2017; “Women Leaders of Conversational AI” (Class of 2023) by Project Voice; "AI's 10 to Watch" Award by IEEE Intelligent Systems in 2013, NSF CAREER award in 2009; Best Demo Paper Awards at ACL2020 and NAACL2021.

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