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X-WR-CALNAME:AIREA - Artificial Intelligence Education and Research Alliance
X-ORIGINAL-URL:https://airea.eduhk.hk
X-WR-CALDESC:Events for AIREA - Artificial Intelligence Education and Research Alliance
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TZID:Asia/Hong_Kong
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260212T100000
DTEND;TZID=Asia/Hong_Kong:20260212T110000
DTSTAMP:20260820T052759Z
CREATED:20260210T092617Z
LAST-MODIFIED:20260820T052759Z
UID:7024-1770890400-1770894000@airea.eduhk.hk
SUMMARY:Differential Privacy in LLM Fine-Tuning: What It Protects\, What It Costs\, and What It Doesn’t
DESCRIPTION:  \n\n\n\nDate\n12 February 2026 (Thursday)\n\n\nSpeaker\nProf. Yang CAO\nAssociate Professor\nInstitute of Science Tokyo\n\n\nSeminar Title\nDifferential Privacy in LLM Fine-Tuning: What It Doesn’t\n\n\nSpeaker’s Bio\nYang Cao is an Associate Professor at the Department of Computer Science\, Institute of Science Tokyo (Science Tokyo\, formerly Tokyo Tech)\, and directing the Trustworthy Data Science and AI (TDSAI) Lab. He is passionate about studying and teaching on algorithmic trustworthiness in data science and AI. Two of his papers on data privacy were selected as best paper finalists in top-tier conferences IEEE ICDE 2017 and ICME 2020. He was a recipient of the IEEE Computer Society Japan Chapter Young Author Award 2019\, Database Society of Japan Kambayashi Young Researcher Award 2021. His research projects were/are supported by JSPS\, JST\, MSRA\, KDDI\, LINE\, WeBank\, etc.\n\n\nAbstract\nLarge language models are often fine-tuned on small and sensitive datasets\, where individual training examples can strongly influence model behavior and lead to memorization and privacy leakage. This talk focuses on differential privacy in LLM fine-tuning and explains how DP acts as a learning constraint that limits the influence of individual samples\, thereby mitigating such risks. We introduce the core intuition behind DP without assuming prior background\, review practical DP fine-tuning mechanisms\, and discuss how privacy and utility should be evaluated together. We also clarify what DP fine-tuning can and cannot protect\, and outline open challenges in privacy-aware LLM adaptation.\n\n\nVenue\nC-LP-06\n\n\n\n 
URL:https://airea.eduhk.hk/calendar/differential-privacy-in-llm-fine-tuning-what-it-protects-what-it-costs-and-what-it-doesnt/
LOCATION:C-LP-06 (STEM Innovation Hub)
CATEGORIES:AIREA Seminar
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260212T110000
DTEND;TZID=Asia/Hong_Kong:20260212T120000
DTSTAMP:20260820T052440Z
CREATED:20260210T092705Z
LAST-MODIFIED:20260820T052440Z
UID:7028-1770894000-1770897600@airea.eduhk.hk
SUMMARY:人工智能通识教育实践与赋能教育未来
DESCRIPTION:Date\n12 February 2026 (Thursday)\n\n\nSpeaker\nProf. Chunying LI \nVice Dean\, Professor \nSchool of Computer Science \nGuangdong Polytechnic Normal University\n\n\nSeminar Title\nPractices of General AI Education and AI Empowerment for the Future of Education\n\n\nSpeaker’s Bio\nChun Ying\, PhD\, Professor\, Doctoral Supervisor. She currently serves as Vice Dean of the School of Computer Science\, Guangdong Polytechnic Normal University\, and Director of the Joint Laboratory for Intelligent Education (University-Enterprise Cooperation). \nShe is a Distinguished Member of China Computer Federation (CCF)\, Member of CCF Guangzhou Committee\, and Executive Member of CCF Technical Committee on Collaborative Computing. She holds a number of social appointments including Peer Review Expert for projects supported by the National Natural Science Foundation of China\, Project Review Expert of the Department of Science and Technology of Guangdong Province\, Expert of the Expert Committee for Digital Guangdong Development\, and Member of the Guangdong Working Group for Computer Discipline under the Ministry of Education’s “101 Plan”. \nIn recent years\, her research and teaching focus on intelligent education\, community detection\, knowledge graphs and recommendation algorithms. She has published more than 50 papers\, compiled and published 4 textbooks\, and filed/obtained over 20 intellectual property rights. She has presided over more than 10 research and teaching projects including those funded by the National Natural Science Foundation of China. In the past five years\, as the sole recipient or the first-ranked contributor\, she has won over 10 honors such as the Excellent Textbook Award (Higher Education Category) of Guangdong Province and the First Prize of Scientific and Technological Progress Award issued by Guangdong Artificial Intelligence Industry Association.\n\n\nAbstract\nAgainst the backdrop of an era where artificial intelligence serves as the core driving force spearheading a new round of technological revolution and industrial transformation\, strengthening general education in artificial intelligence carries vital strategic significance for fostering students’ digital literacy and computational thinking. Taking the practice of AI literacy education at Guangdong Polytechnic Normal University as an example\, this report elaborates on an innovative teaching model for general artificial intelligence courses. Centered on personalized competency cultivation\, the model relies on platforms as carriers and knowledge graphs as links. It demonstrates major practices of tiered teaching for students from diverse majors\, offering replicable and promotable valuable experience for the development of AI general education courses in various educational institutions. \nOn this basis\, centering on the core theme of “AI Empowering the Future of Education”\, the report analyzes the profound transformative potential of AI in education from four dimensions: targeted innovation of teaching models\, upgrading of talent cultivation objectives\, collaborative evolution of educational ecosystems\, and two-way empowerment of technology and ethics. Meanwhile\, it addresses practical challenges including rapid technological iteration\, balanced resource allocation and ethical norms\, and proposes countermeasures such as dynamic curriculum updates\, popularization of lightweight tools and diversified collaborative governance. The findings provide theoretical references and practical guidance for advancing high-quality development of AI general education and constructing a new paradigm of AI-enabled education.\n\n\nVenue\nC-LP-06\n\n\n\n 
URL:https://airea.eduhk.hk/calendar/%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e9%80%9a%e8%af%86%e6%95%99%e8%82%b2%e5%ae%9e%e8%b7%b5%e4%b8%8e%e8%b5%8b%e8%83%bd%e6%95%99%e8%82%b2%e6%9c%aa%e6%9d%a5/
LOCATION:C-LP-06 (STEM Innovation Hub)
CATEGORIES:AIREA Seminar
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260319T090000
DTEND;TZID=Asia/Hong_Kong:20260319T170000
DTSTAMP:20260729T033652Z
CREATED:20260306T074440Z
LAST-MODIFIED:20260729T033652Z
UID:7383-1773910800-1773939600@airea.eduhk.hk
SUMMARY:5th AI and Education Forum
DESCRIPTION:
URL:https://airea.eduhk.hk/calendar/airea-5th-ai-and-education-forum/
LOCATION:E-P/F-04 (Conference Centre)\, Tai Po Campus\, The Education University of Hong Kong (EdUHK)
CATEGORIES:AIREA Forums
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260323
DTEND;VALUE=DATE:20260328
DTSTAMP:20250801T020234Z
CREATED:20250731T035224Z
LAST-MODIFIED:20250801T020234Z
UID:6591-1774224000-1774655999@airea.eduhk.hk
SUMMARY:Artificial Intelligence for Education Track of the 41st ACM/SIGAPP Symposium on Applied Computing
DESCRIPTION:Dates: March 23–27\, 2026\nLocation: Thessaloniki\, Greece\nConference: ACM SAC 2026 – Artificial Intelligence for Education\nConference Website: https://www.sigapp.org/sac/sac2026/\nTrack Website: https://sites.google.com/view/aied-26/home\nTrack Call-for-Paper Page: https://sites.google.com/view/aied-26/cfp\n\n\nTrack Description: \n\nArtificial intelligence (AI) has demonstrated significant potential in addressing various challenges within the education sector. For example\, it can customize learning materials\, sequence activities\, provide individualized feedback\, predict learning outcomes\, and identify students at risk—enabling more responsive and effective teaching and learning. Despite these benefits\, the use of AI in education has faced criticism for overlooking essential learning processes such as motivation\, emotion\, and (meta)cognition. Many systems are developed without meaningful involvement from domain experts and stakeholders. There is also a widespread reliance on unreliable explainable AI methods to interpret black-box models\, while ethical concerns—such as data inconsistencies and algorithmic bias—are often ignored. Moreover\, current AI systems tend to overemphasize automated\, individualized instruction\, frequently neglecting the cultivation of metacognitive and self-regulated learning skills. Nonetheless\, even amid these shortcomings\, AI technologies—including machine learning\, natural language processing\, image processing\, and expert systems—are increasingly being incorporated into public education systems. Given the growing importance of AI in society and supporting education and the existing challenges in their applications\, this technical track focuses on AI for education. \n\nSubmissions \n\nThe AI for education track accepts regular (full) papers and posters. Selected papers\, not accepted as full papers\, may be accepted as poster papers. These will be presented at a poster session during the Symposium and will be published as three-page extended abstracts in the Proceedings. Additionally\, graduate students are invited to submit research abstracts to the Student Research Competition. Accepted papers in all categories will be published in the ACM SAC 2025 proceedings and published in the ACM digital library\, indexed by Thomson ISI Web of Knowledge and Scopus.
URL:https://airea.eduhk.hk/calendar/artificial-intelligence-for-education-track-in-the-41st-acm-sigapp-symposium-on-applied-computing/
LOCATION:Thessaloniki\, Greece
CATEGORIES:Conferences for Members
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260708
DTEND;VALUE=DATE:20260709
DTSTAMP:20260317T064711Z
CREATED:20260204T094152Z
LAST-MODIFIED:20260317T064711Z
UID:6956-1783468800-1783555199@airea.eduhk.hk
SUMMARY:AIREA 2nd International Competition on AI in Education 2026
DESCRIPTION:
URL:https://airea.eduhk.hk/calendar/airea-2nd-international-ai-in-education-2026/
LOCATION:Tai Po Campus\, The Education University of Hong Kong (EdUHK)
CATEGORIES:AIREA International Competitions on AI in Education
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20260918T160000
DTEND;TZID=Asia/Hong_Kong:20260918T170000
DTSTAMP:20260902T055626Z
CREATED:20260819T065518Z
LAST-MODIFIED:20260902T055626Z
UID:8179-1789747200-1789750800@airea.eduhk.hk
SUMMARY:Smart Apps to Smarter AI: The Evolution of Psychoeducation
DESCRIPTION:Registration Link:\nhttps://eduhk.au1.qualtrics.com/jfe/form/SV_0f8m5pG7EOm8U9U\n\n\n\nTitle:\nSmart Apps to Smarter AI: The Evolution of Psychoeducation\n\n\nDate:\n18 September 2026 (Friday)\n\n\nTime:\n4:00 to 5:00 pm (UTC+8\, Hong Kong Time)\n\n\nMode:\nHybrid (Face-to-face and Online via Zoom)\n\n\nVenue:\nC-LP-06\, STEM Innovation Hub and Zoom Meeting\n\n\nSpeaker:\nProfessor Yasser Khazaal\nProfessor of Addiction Psychiatry in the Department of Addiction Medicine and the Faculty of Biology and Medicine\, The University of Lausanne\, Switzerland.\n\n\nYasser Khazaal (ORCID: 0000-0002-8549-6599) is Full Professor of Addiction Psychiatry at the University of Lausanne\, Switzerland\, and Associate Professor at the University of Montreal\, Canada. He is a member of the board of Addiction Medicine at Lausanne University Hospital and directs the WHO Collaborating Centre for innovation in the prevention and treatment of substance use disorders and behavioural addictions. Among his current research interests are digital well-being\, problematic smartphone and social media use\, and the design and evaluation of digital and AI-supported tools for mental health.\n\n\n\nModerator:\nProfessor Guandong Xu\nChair Professor of Artificial Intelligence\,\nAssistant Vice President (AI and Education Innovation)\,\nDirector of University Research Facility of Data Science and Artificial Intelligence\,\nThe Education University of Hong Kong\n\n\nAbstract:\nSmartphones\, apps and social media now mediate how young people learn\, connect and pay attention\, and are where they turn for support with mental health and everyday difficulties — even as some patterns of use undermine well-being. Taking digital well-being as its case\, this talk traces how psychoeducation has evolved in response. It revisits digital well-being as more than the absence of digital ill-being\, drawing on recent work clarifying which of its dimensions matter most\, then reviews today’s mHealth applications and psychoeducational supports. It closes on AI-enabled psychoeducation: how artificial intelligence is shifting the way people are supported in using digital technologies for\, rather than against\, their own well-being\, what this demands of user-centred design\, and which research questions now sit at the intersection of education\, technology and health.\n\n\nKeywords:\ndigital well-being; problematic smartphone use; psychoeducation; mHealth; EdTech; artificial intelligence\n\n\nPoster:
URL:https://airea.eduhk.hk/calendar/20260918/
LOCATION:Hybrid (C-LP-06\, STEM Innovation Hub and Zoom Meeting)
CATEGORIES:AIREA Seminar
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20270701
DTEND;VALUE=DATE:20270702
DTSTAMP:20260903T045152Z
CREATED:20260903T045152Z
LAST-MODIFIED:20260903T045152Z
UID:8216-1814400000-1814486399@airea.eduhk.hk
SUMMARY:AIREA 3rd International Competition on AI in Education 2027
DESCRIPTION:
URL:https://airea.eduhk.hk/calendar/airea-3rd-international-competition-on-ai-in-education-2027/
LOCATION:Tai Po Campus\, The Education University of Hong Kong (EdUHK)
CATEGORIES:AIREA International Competitions on AI in Education
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