Update ai4good_workshop_2025.md

Author: lexingxie

content/post/ai4good_workshop_2025.md

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-##### Posted by _Yue Liu_ and _Haojie Zhuang_.
+##### Posted by _Yue Liu_ and _Haojie Zhuang_, with edits contributed by _Lexing Xie_. 
 
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 #### **Event Information**
 
-Hosted by the ANU Computational Media Lab in partnership with ANU’s Integrated AI Network, CSIRO NSF Project and Data61 Tech4HSE Research Program, this one‑day in‑person event brings together a distinguished group of researchers and practitioners to explore how artificial intelligence can address critical challenges in climate, environmental, and public and industrial safety. Workshop Program: [https://events.humanitix.com/ai4good-2025](https://events.humanitix.com/ai4good-2025)
+Hosted by the ANU Computational Media Lab in partnership with ANU’s Integrated AI Network, CSIRO NSF Project and Data61 Tech4HSE Research Program, this one‑day in‑person event brings together a distinguished group of researchers and practitioners to explore how artificial intelligence can address critical challenges in climate, environmental, and public and industrial safety. Detailed workshop Program is here [https://events.humanitix.com/ai4good-2025](https://events.humanitix.com/ai4good-2025)
 
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+The Workshop was opened by Prof Tony Hosking, Director of School of Computing at the ANU. He emphasized that 
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+#### **Workshop Highlights**
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+There were two keynote speeches that provided broad and inspiring context to the whole audience. One by Professor Ingmar Weber from Saarland University, who presented the audience with the challenge of measurements and counting at large scale. In particular, his work explored how high-resolution satellite imagery can illuminate societal dynamics such as migration, gender inequality, poverty, and public health. His thought-provoking talk sparked audience discussions on novel applications — from estimating water depth to exploring data sources beyond social media.
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+In the afternoon keynote, Professor Xuemei Bai (ANU Fenner School of Environment & Society) presented research challenges of urbanization under climate change, she discussed how cities can become transformative agents and help each other in the time of change. and asked how AI can help tackle these challenges faced by humanity. Her talk provided context for related junior researcher projects, including those by Dr Sombol Mokhles and Chenyi Du. 
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+<img src="/img/ai4good/DSC05160.jpeg" width="600"/>
+<img src="/img/ai4good/DSC05172.jpeg" width="600"/>
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-#### **Workshop Highlights**
-The AI for Climate, Safety, and Environment Workshop opened with a keynote by Professor Ingmar Weber from Saarland University, who explored how high-resolution satellite imagery can illuminate societal dynamics such as migration, gender inequality, poverty, and public health. His thought-provoking talk sparked audience discussions on novel applications — from estimating water depth to exploring data sources beyond social media.
 
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-Following this, Professor Lexing Xie addressed the information gaps between climate science, policy, and human decision-making. Professor Wenjie Zhang (UNSW) and Professor Jing Jiang showcased how LLM-based systems can support Health, Safety, and Environment (HSE) compliance assessment and training. Professor Liang Zheng demonstrated methods for translating multimodal data into code while preserving source characteristics, and Dr Xiwei Xu shared the commercialization pathway of CSIRO’s Tech4HSE project, highlighting collaboration between academia and industry.
+The first session after morning break provided overview to a number of active projects that underpins this workshop. Professor Lexing Xie addressed the information gaps between climate science, policy, and human decision-making. Professor Wenjie Zhang (UNSW) and Professor Jing Jiang showcased how LLM-based systems can support Health, Safety, and Environment (HSE) compliance assessment and training. Professor Liang Zheng demonstrated methods for translating multimodal data into code while preserving source characteristics, and Dr Xiwei Xu shared the commercialization pathway of CSIRO’s Tech4HSE project, highlighting collaboration between academia and industry.
 
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-The Junior Researcher Spotlight featured diverse projects: Dr Yue Liu and Xiuyuan Yuan presented comparative analyses of complex documents, with case studies on Work Health Safety Regulations and the United Nations Framework Convention on Climate Change. Dr Haojie Zhuang discussed LLM-based assessment of practitioners’ HSE competence via natural language interaction. Ziyu Chen explored AI for classifying moral and human values, while Karen Zhou (University of Chicago) demonstrated an AI tool to help voters make informed decisions. Dr Jieshan Chen (CSIRO’s Data61) examined defenses against deceptive interfaces, and Dr Yonghui Liu shared design and coding approaches for web development.
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-<img src="/img/ai4good/DSC05160.jpeg" width="600"/>
-<img src="/img/ai4good/DSC05172.jpeg" width="600"/>
+The Early-career Researcher Spotlight featured diverse projects: Dr Yue Liu and Xiuyuan Yuan presented comparative analyses of complex documents, with case studies on Work Health Safety Regulations and the United Nations Framework Convention on Climate Change. Dr Haojie Zhuang discussed LLM-based assessment of practitioners’ HSE competence via natural language interaction. Ziyu Chen explored AI for classifying moral and human values, while Karen Zhou (University of Chicago) demonstrated an AI tool to help voters make informed decisions. Dr Jieshan Chen (CSIRO’s Data61) examined defenses against deceptive interfaces, and Dr Yonghui Liu shared design and coding approaches for web development.
 
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-In the afternoon keynote, Professor Xuemei Bai (ANU Fenner School of Environment & Society) discussed how AI supports urban climate action and resilience. Her talk provided context for related junior researcher projects, including those by Dr Sombol Mokhles and Chenyi Du. Attendees were impressed by the breadth of AI applications across disciplines, from social science to environmental monitoring.
 
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-After a short break, participants joined breakout sessions. One group examined challenges faced in their domains, while the other discussed what AI can — and cannot — address. They later reconvened to share key takeaways:
+After a short break, participants joined breakout sessions. One group examined challenges faced in their domains, while the other discussed what AI can — and cannot — address. The whole group later reconvened to share key takeaways:
 
 - AI is applied in diverse areas including remote sensing, environmental monitoring, regulation and policy analysis, and multimodal-to-code translation.