There is no AI without data, and that to be trustworthy, AI requires trustworthy data. An obvious manifestation the Data Divide is the separation between the data "have" and "have not" organizations. Put another way, organizations possessing relevant, clean data sets stored in modern, AI-addressable data technologies enjoy a massive advantage in what AI can do for them, and in how quickly they can bring it to bear in service of the challenges they face. This is fast becoming a critical asset for organizations. The next couple of years will see a stark separation in fortunes for these have and have not organizations.

The Center for Trustworthy AI has been established by technology and legal partners with contributions from experts around the world because the achievement of Trustworthy AI is an effort that must be taken on by every user, every leader, and every organization that wishes to survive and thrive in the coming age. The Center for Trustworthy AI is the guiding beacon for organizations navigating this unprecedented wave of AI innovation.

Can we trust artificial intelligence? In today’s world of all-too-often declining trust in institutions, governments, and humanity writ large, can we trust AI to be applied and used for the good of our colleagues, our neighbors, and of all humankind? How do we realize AI’s transformative potential in the realms of science, medicine, engineering, and productivity across the economy while not sacrificing our institutions, our culture, our communities, our human rights to its use?

In the public and humanitarian domain—as in business and commerce—it is the fabric of data, security, apps, and, increasingly, artificial intelligence that makes possible much of what society takes for granted. An ecosystem of interwoven technologies, often invisible to the end recipient of any service, orchestrate the vast, historically unthinkable systems through which students are educated, police are assigned to duty, the hungry are fed, and the most vulnerable migrants are transported from conflict, housed, and treated for their injuries.

We’ll make the concepts of Ecosystem-Oriented Architecture (EOA) and mapping your cloud ecosystem real in context of Public Sector organizations. To do so, we spend some time speaking less about technology and begin describing workloads that incorporate functions and scenarios upon which a typical agency might rely on its cloud ecosystem to perform.