University of Melbourne, Australia. 2021-2025 

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. 

University of Melbourne, Australia. 2023-2025

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. 

Research Output: https://www.medrxiv.org/content/10.1101/2025.10.14.25338024v1 

University of Melbourne, Australia, 2023.

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.

GOOGLE SCHOLAR

• 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 

• Bingyi Han, Shanton Chang, Dana McKay, Carlene Wilson, Joyce Jiang, Jennifer McIntosh, Mark Jenkins. 2025. Collective Health Decision-Making: Exploring Examples from Chinese Families in Australia. Preprint version published on MedRxiv: https://doi.org/10.1101/2025.10.14.25338024 

• 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.

2022 Ali Research Institute of Alibaba Group

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
 

2018-2019 KPMG China

I worked as an intern at the Department of  IT Advisory of KPMG China, involved in the Mercedes-Me-Connect project for Daimler.