Jun Zhao
Dr Jun Zhao
Wolfson Building, Parks Road, Oxford OX1 3QD
Biography
I am an Oxford Martin Fellow, an Official Fellow of Reuben College, and a Senior Researcher in the Department of Computer Science at Oxford University. My research focuses on investigating the impact of algorithm-driven decision makings upon our everyday lives, with a particular emphasis on families and young children. For this, I take a human-centred approach, focusing on understanding real users' needs, in order to design technologies with tangible, real-world impacts.
Currently, I am leading several projects, including the UKRI-funded CHAILD project, the IAA and Innovate UK-funded Ethical Design programme, and Oxford Martin School's EWADA project. I work closely with schools, children, families as well as technologists for children, to understand the technological, societal and regulatory challenges that we are facing, to inform national and international policymakers, technology designers and families.
I am frequently invited to speak at national and international venues on designing ethical AI systems for children. I am currently serving on the advisory boards of Oxford AIEOU and the Oxford Reuben College's Generation AI programe.
For further information about my research activities, latest outputs and invited talks please see my external web page.
Recent awards
- CHI'25 HONORABLE MENTION: FamiData Hub: A Speculative Design Exploration with Families on Smart Home Datafication
- CHI'24 HONORABLE MENTION: CHAITok: A Proof-of-Concept System Supporting Children's Sense of Data Autonomy on Social Media
- ConPro’23 BEST PAPER: Before and after China’s new data laws: privacy in apps
- CHI'23 BEST PAPER: Treat me as your friend, not a number in your database
- CHI'23 HONORABLE MENTION: 12 Ways to Empower: Designing for Children's Autonomy
- CSCW'23 HONORABLE MENTION: ‘Don’t make assumptions about me!’: Understanding Children’s Perception of Datafication Online
- CSCW'23 RECOGNITION AWARD: ‘Don’t make assumptions about me!’: Understanding Children’s Perception of Datafication Online
- CHI'22 HONORABLE MENTION: Informing Age−Appropriate AI: Examining Principles and Practices of AI for Children.
See also
Selected Publications
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Editorial for the special issue on child−centred AI
Jun Zhao‚ Grace Lin‚ Jason Yip‚ Zhen Bai‚ Ayca Atabey‚ Ge Wang and Kaiwen Sun
In International Journal of Human Computer Studies. Vol. 211. 2026.
Details about Editorial for the special issue on child−centred AI | BibTeX data for Editorial for the special issue on child−centred AI | DOI (https://doi.org/10.1016/j.ijhcs.2026.103777)
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Agency in Child–AI Interaction: A Review of How It Is Conceptualised‚ Studied‚ and Supported in HCI
Isobel Voysey‚ Vidminas Vizgirda‚ Sarah Turner‚ Leslye Denisse Dias Duran‚ Zaki Pauzi‚ Manolis Mavrikis‚ Carina Prunkl and Jun Zhao
In Proceedings of the 25th Annual ACM Interaction Design and Children Conference. Pages 573 − 587. 2026.
Details about Agency in Child–AI Interaction: A Review of How It Is Conceptualised‚ Studied‚ and Supported in HCI | BibTeX data for Agency in Child–AI Interaction: A Review of How It Is Conceptualised‚ Studied‚ and Supported in HCI
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Attitudes‚ Imagined Roles‚ and Governance Boundaries for AI in Decentralized Social Media
Zhilin Zhang‚ Jun Zhao‚ Ge Wang‚ Sruthi Viswanathan‚ Tala Jo Ross‚ Samantha−Kaye Johnston‚ Diyi Liu‚ Hayoun Noh‚ Max Van Kleek and Nigel Shadbolt
In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. 2026.
Details about Attitudes‚ Imagined Roles‚ and Governance Boundaries for AI in Decentralized Social Media | BibTeX data for Attitudes‚ Imagined Roles‚ and Governance Boundaries for AI in Decentralized Social Media | DOI (https://dl.acm.org/doi/abs/10.1145/3772318.3790295)