Jun Zhao
Biography
I am 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 the UKRI-funded CHAILD project 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'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
-
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)
-
Perennial Semantic Data Terms of Use for Decentralized Web
Rui Zhao and Jun Zhao
In Proceedings of The 2024 World Wide Web Conference. 2024.
Details about Perennial Semantic Data Terms of Use for Decentralized Web | BibTeX data for Perennial Semantic Data Terms of Use for Decentralized Web
-
Libertas: Privacy−Preserving Computation for Decentralised Personal Data Stores
Rui Zhao‚ Naman Goel‚ Nitin Agrawal‚ Jun Zhao‚ Jake Stein‚ Ruben Verborgh‚ Reuben Binns‚ Tim Berners−Lee and Nigel Shadbolt
September, 2023.
Details about Libertas: Privacy−Preserving Computation for Decentralised Personal Data Stores | BibTeX data for Libertas: Privacy−Preserving Computation for Decentralised Personal Data Stores | DOI (10.48550/arXiv.2309.16365)