This project is led by Prof See-Kiong Ng and conducted by the leading international and inter-disciplinary AI and data science researchers in the institute’s new Trusted Collaborative Machine Learning (Trusted CollabML) Lab. The CollabML Lab is a collaboration between the Institute of Data Science, the Department of Computer Science, and the Department of Electrical and Computer Engineering at the National University of Singapore (NUS), the School of Law at the Singapore Management University (SMU), as well as the Departments of Electrical Engineering and Computer Science at University of California, Berkeley (UC Berkeley) and Massachusetts Institute of Technology (MIT). The project team will design and develop a trustable, operational and legally-compliant model-centric sharing platform, validated with real-world data and applications provided by industry partners. Such a platform will be instrumental for powering a data-driven AI innovation ecosystem for a vibrant digital economy through trusted self-interest-driven sharing of learned machine intelligence.