Jun Zhao
Biography
I am an Oxford Martin Fellow and Senior Research Associate 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.
Selected Publications
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Governance of Generative AI in Creative Work: Consent‚ Credit‚ Compensation‚ and Beyond
Asia J. Biega Lin Kyi Amruta Mahuli M. Six Silberman Reuben Binns Jun Zhao
In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. 2025.
Details about Governance of Generative AI in Creative Work: Consent‚ Credit‚ Compensation‚ and Beyond | BibTeX data for Governance of Generative AI in Creative Work: Consent‚ Credit‚ Compensation‚ and Beyond
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FamiData Hub: A Speculative Design Exploration with Families on Smart Home Datafication
Ge Wang‚ Jun Zhao‚ Max Van Kleek‚ Roy Pea and Nigel Shadbolt
In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. 2025.
Details about FamiData Hub: A Speculative Design Exploration with Families on Smart Home Datafication | BibTeX data for FamiData Hub: A Speculative Design Exploration with Families on Smart Home Datafication
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Challenges and opportunities in translating ethical AI principles into practice for children
Ge Wang‚ Jun Zhao‚ Max Van Kleek and Nigel Shadbolt
In Nature Machine Intelligence. 2024.
Details about Challenges and opportunities in translating ethical AI principles into practice for children | BibTeX data for Challenges and opportunities in translating ethical AI principles into practice for children | DOI (https://doi.org/10.1038/s42256-024-00805-x)