Sky Sheng

Sky (Kehan) Sheng

AI Bias Researcher | Data Scientist | AI Applications for Animal Welfare
PhD Candidate, the University of British Columbia

I'm passionate about using AI to empower minorities and marginalized communities in gaining technical skills, and developing AI solutions to address real-world challenges. As a PhD candidate at the University of British Columbia, I conduct interdisciplinary research bridging AI Bias and Applications, Data Science, and Animal Welfare Science. While I don't have all the right answers to biases in AI, I wish to foster more diverse representation and perspectives in AI development. I believe it's crucial that we don't lose the voices of those not in power and making them invisible behind numeric machines through coded gaze. I recognize that ethical AI application includes knowing not using AI is also an option.

News

๐ŸŒŸ The erasure of intensive livestock farming in text-to-image generative AI
Sheng, K., Tuyttens, F.A.M., von Keyserlingk, M.A.G.
ACM conference on Fairness, Accountability, and Transparency (FAccT), Athens, Greece, 2025 | Oral presentation
๐Ÿ‘ฉโ€๐Ÿซ Sessional Lecturer at UBC Master of Data Science
University of British Columbia Master of Data Science Program, Fall 2025
Appointed as Sessional Lecturer to teach DSCI 522: Reproducible and Trustworthy Data Science Workflows, and DSCI 571: Supervised Machine Learning.
๐ŸŽ‰ Redefining the Future of Canadian Dairy: When Cows Meet Data & AI
UBC Dairy Education and Research Centre, August 2025
Celebrating Farm Credit Canada's $1M donation to UBC DERC's integrated data hub for the future of Canadian dairy. Served as student representative presenting about how data science and AI can advance animal welfare research.
๐Ÿ“œ AI for One Welfare: the role of animal welfare scientists in developing valid and ethical AI-based welfare assessment tools
Foris, B., Sheng, K., Dรผrnberger, C., Oczak, M., Rault, J.L.
Frontiers in Veterinary Science, 2025
๐Ÿค Collaborator at UBC TrustML
University of British Columbia Trustworthy Machine Learning
Joined as a collaborator at UBC TrustML, contributing to research on building reliable, secure, explainable, and ethical AI systems.