This talk presents several applied AI systems designed to augment human capability in education and healthcare. Rather than replacing human judgement, each system operationalises a human-AI hybrid philosophy: AI handles scalable, structured analysis while humans remain in control of interpretation and decision‑making.

About Jingyun Wang

Jingyun Wang is a faculty member in the Department of Computer Science at Durham University, a core member of Artificial Intelligence and Human Systems Research Group, and the Centre for Neurodiversity & Development. Prior to joining Durham, she served as Assistant Professor (2014–2020) at the Research Institute for Information Technology and as an associate faculty member at the Learning Analytics Center, Kyushu University, Japan.

Her research lies at the intersection of Artificial Intelligence and Human-Computer Interaction, with a strong focus on driving innovation in education and digital health. She has established a sustained record of high-impact scholarship, evidenced by over 80 peer-reviewed publications in leading international venues, including top-tier journals such as Computers & Education, BMC Medical Education, International Journal of Human-Computer Interaction, Interactive Learning Environments, and Computers & Education: Artificial Intelligence, as well as premier conferences such as WWW, AIED, and LAK., etc. She has served as Principal Investigator or Co-Investigator on multiple research projects, securing competitive funding from a range of prestigious national and international bodies, including the Japan Society for the Promotion of Science (JSPS), the Japan Science and Technology Agency (JST), the National Institute of Information and Communications Technology (NICT) in Japan, Innovate UK, as well as direct industry partnerships.

This event will be conducted in English