Bingyi Han
PhD Researcher in Human-Computer Interaction
University of Melbourne
Email: bingyi.han@unimelb.edu.au |LinkedIn | Twitter
University of Melbourne
Email: bingyi.han@unimelb.edu.au |LinkedIn | Twitter
ABOUT ME
Hello! I am a final-stage PhD Candidate in the Human-Computer Interaction at the University of Melbourne, exploring AI in Education and AI Ethics. My Phd project was supervised by Prof. George Buchanan, A/Prof Dana Mckay, Dr Simon Coghlan, and Prof. Wally Smith.
My research focuses on exploring the ethical challenges and social-technical implications of emerging AI technologies in sensitive settings such as education. My enthusiasm lies in unveiling the complexities of human factors in AI adoption. This includes addressing humanistic concerns, revealing the unintended consequences of adopting AI, safeguarding human users from ethical risks, and contributing to building a safer future with emerging technology. Additionally, I am keenly interested in the sociocultural underpinnings that shape people's perceptions and attitudes towards values and concerns towards technology. Understanding these cultural dimensions is vital for a grounded, ethical discourse in AI adoption.
My idealism drives my research, fueling a deep-seated desire to make a meaningful impact. This motivation is why I've relished the journey thus far and continue to find excitement in my work!
Keywords of my interests: AI Ethics, Digital Ethics, User Behaviour, AI in Education (AIEd).
EDUCATION BIO
2021-2024 PhD in Human-Computer Interaction University of Melbourne, Australia
2018-2020 Master of Information Systems (with Distinction) University of Melbourne, Australia
2016-2017 Academic Visiting Lancaster University, United Kingdom
2012 - 2016 Bachelor of Information Systems University of Science & Technology Beijing, China
This study investigates the ethical and sociotechnical implications of adopting AI in education (AIEd). The study employs speculative story completion, in-depth interviews, and online user experiments using visual prototypes. The findings provide empirical insights to inform human-centred, context-sensitive, and ethically aligned design and governance of AIEd.
This project is conducted in collaboration with the Melbourne School of Population and Global Health and the Bowel Cancer Screening Program. It explores how collectivistic families living together in Australia, particularly those with older adults, seek health information and make decisions around bowel cancer screening. Using focus groups and in-depth interviews, this qualitative research offers insights to inform inclusive, culturally sensitive public health strategies.
This research is funded by Australia's National Health and Medical Research Council (NHMRC). The project is supervised by Prof Shanton Chang.
This project is under Validitron SimLab, and conducted in collaboration with Austin Health. It evaluates the implementation of a hospital-wide digital patient portal. The research examines patient experiences and the effectiveness of digital health service delivery. It involves the fieldwork observation at the hospital, interviews with clinicians, and heuristic evaluation of the portal website and mobile platforms. The study provides evidence-based recommendations for improving digital health usability and patient engagement.
This project was supervised by Dr Kit Huckvale.
Bingyi Han, Simon Coghlan, George Buchanan, and Dana McKay. 2025. The Values of Academic Integrity in the Era of Surveillance AI in Classrooms. Chapter 8 on AI2—Artificial Intelligence (AI) and Academic Integrity (AI) - Navigating Ethical Challenges of AI in Education. Springer. [Publication in Process] https://www.amazon.com/Artificial-Intelligence-Academic-Integrity-Navigating/dp/9819518741#detailBullets_feature_div
Rashika Bahl & Bingyi Han. Before the beginning: International students negotiating the transition to life in Australia through the use of Reddit or Xiaohongshu. Transitions: Journal of Transient Migration 9. (2025) https://doi.org/10.1386/tjtm_00074_1
Bingyi Han, Simon Coghlan, George Buchanan, and Dana McKay. 2025. Who is Helping Whom? Student Concerns about AI-Teacher Collaboration in Higher Education Classrooms. Proc. ACM Hum.-Comput. Interact. 9, 2, Article CSCW206 (May 2025), 32 pages. https://doi.org/10.1145/3711104
Bingyi Han, Sadia Nawaz, George Buchanan, and Dana Mckay. 2025. Students’ Perceptions: Exploring the Interplay of Ethical and Pedagogical Impacts for Adopting AI in Higher Education. International Journal of Artificial Intelligence in Education. Jan 2025:1-26. https://doi.org/10.1007/s40593-024-00456-4
Bingyi Han, Sadia Nawaz, George Buchanan, and Dana Mckay. 2023. Ethical and Pedagogical Impacts of AI in Education. In: Wang, N., Rebolledo-Mendez, G., Matsuda, N., Santos, O.C., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2023. Lecture Notes in Computer Science, vol 13916. Springer, Cham. https://doi.org/10.1007/978-3-031-36272-9_54
Bingyi Han, George Buchanan, and Dana Mckay. 2023. Learning in the Panopticon: Examining the Potential Impacts of AI Monitoring on Students. In Proceedings of the 34th Australian Conference on Human-Computer Interaction (OzCHI '22). Association for Computing Machinery, New York, NY, USA, 9–21. https://doi.org/10.1145/3572921.3572937
University of Melbourne 2022-2025, Academic Tutor
Postgraduate Subject - COMP90087 The Ethics of Artificial Intelligence. This subject introduces students to established ethical theories and concepts and their application to artificial intelligence and emerging technologies. It covers practical approaches and ethical frameworks for the responsible design, development and deployment of technology. Key topics include fairness, equity, and discrimination in automated decision making, accountability, explainability, and transparency in AI.
Postgraduate Subject - ISYS90118 – Skills for IS Research and Development (IS Research Method). This subject provides foundational research skills for information systems and system development projects. It covers the design of research questions, critical literature review, selection of appropriate methodologies, and comparison of different approaches that are appropriate for primary research or development.
I worked as a research intern at the Ali Research Institute of Alibaba Group in 2022, supervised by Dr Zhong Su.
I worked on AI ethics in the Group of Emerging Technology of the Department of Government Affairs. I led two research projects: 1) Ethical implications of emerging technology, especially AI and big data. 2) Industrial research regarding Privacy-Preserving Computing.
Media Coverage
Information Cocoon, Privacy Leakage…: How to Deal with the Ethical Risks Brought by Artificial Intelligence? By Bingyi Han and Zhong Su, Sep 5th, 2022, Published on Digital Technology Insights. Ali Research Institute https://mp.weixin.qq.com/s/Ok2f4SKKxSc6Nehr4-aBEg
Privacy-Preserving Computing: Privacy Protection in the Digital Age. By Bingyi Han and Zhong Su, Dec 9th, 2022, Published on Digital Technology Insights. Ali Research Institute https://mp.weixin.qq.com/s/W03RJK5alvg02hY5V0ftSQ
I worked as an intern at the Department of IT Advisory of KPMG China, involved in the Mercedes-Me-Connect project for Daimler.
Deutscher Akademischer Austauschdienst (DAAD) NetAI 2023 Fellow - Human-centered AI.
2023 PhD Thinker of the Kathleen Fitzpatrick ARC Laureate Fellowship PhD Thinker Program.
Best Paper Award - OzCHI Conference 2022
Communications & Social Media Chair, MUM Conference 2025
Proceedings of the ACM on Human-Computer Interaction (CSCW)
The International Journal of Artificial Intelligence in Education (IJAIEd)
ACM Designing Interactive Systems Conference (DIS)
Australian Conference on Human-Computer Interaction (OZCHI)
Journal of Artificial Intelligence in Education (AIIE)
Member of CAIDE Research Academy. CAIDE is organised by the Centre for AI & Digital Ethics of the University of Melbourne.
Member of PhD Students in AI Ethics.
Ph.D. Representative of Human Factors & Ergonomics Society of Australia (HFESA) 2022-2023.
The Asia-Pacific Regional Representative and Membership Committee of The International Learning Sciences Student Association (ILSSA) since 2022-2023.
Co-Founder and Executive Officer of Melbourne Information Systems Graduate Association, 2018- 2019.
Australian Conference on Human-Computer-Interaction (OzCHI) 2021
Keynote speaker, Workshop on Fairness and Ethics in AI for Education, AIEd Conference, Palermo, Italy, 26th Jul 2025
Presenter, “Ethical and Sociotechnical Implications of AI in Education”, PhD Thinker Program, Adelaide, Australia, 11th Oct 2023
Presenter, “Ethical Challenges of AI in Education”, AI Ethics Summer Academy in Centre for AI & Digital Ethics, Melbourne, Australia, 9th Dec 2021.
Presenter, “Impacts of Adopting AI in Education”, Ph.D. in AI Ethics Roundtable Workshop on Responsible AI, Online, 19th Oct 2021.
Conference Presentations
Presenter, “Ethical and Pedagogical Impacts of AI in Education”, International Conference on Artificial Intelligence in Education, Tokyo, Japan, 29th Jun 2023.
Presenter, “Learning in the Panopticon: Examining the Potential Impacts of AI Monitoring on Students”, the 34th Australian Conference on Human-Computer Interaction (OzCHI ’22), Canberra, Australia, 29th Nov 2022.
Presenter, “Emotional Experience of AI in Education”, CHI 2022 Workshop on The Future of Emotion in Human-Computer Interaction, Online, 13th Apr 2022.
Public Events
Presenter, “Potential Impacts of Implementing AI Monitoring in Higher Education”, ML/AI Meetup Talk Melbourne, Australia, 16th Oct 2023.
Media Coverage:
- Magazine report, Information Cocoon, Privacy Leakage…: How to Deal with the Ethical Risks Brought by Artificial Intelligence? By Bingyi Han and Zhong Su, Sep 5th, 2022, Published on Digital Technology Insights. Ali Research Institute https://mp.weixin.qq.com/s/Ok2f4SKKxSc6Nehr4-aBEg
- Magazine report, “Privacy-Preserving Computing: Privacy Protection in the Digital Age.” By Bingyi Han and Zhong Su, Dec 9th, 2022, Published on Digital Technology Insights. Ali Research Institute https://mp.weixin.qq.com/s/W03RJK5alvg02hY5V0ftSQ