Creating a Global Model for Data Sharing and AI-Driven Sustainable Development as a top priority

Francesco Lapenta, the Founding Director of the John Cabot University Institute of Future and Innovation Studies (Rome, Italy), a member of the History of AI Board of AIWS Innovation Network (AIWS.net), comments at the “Framework for Global Law and Accord on AI and Digital” of December 12, 2021:

“We must begin taking critical first steps toward global collaboration and safe AI innovation. One that stands out above the rest is:

• Data and Diplomacy based on Open and FAIR Data Principles and Tools, (Data Stewardship and Data Trusts).

Regulation of data sharing is a critical issue that requires immediate international and national coordination, and with data serving as the only energy source for future AI applications, it is one of the most pressing areas of intervention. In medicine, 85 percent of research data is allegedly “wasted” and never used again. There are quantifiable scientific, social, and economic costs to “data waste” and “reproducing overlapping and duplicate data.” From this perspective, I consider “Open Data as Sustainable Data,” data that can significantly contribute to data waste reduction, the optimization and expediting of scientific discovery, increased social benefits, and contribute to economic growth. I consider creating a Global Model for Data Sharing and AI-Driven Sustainable Development a top priority.”