Machine Learning X Doing Policy

Public and International Policy Making for the Twenty-first Century

Machine learning and AI offer governments at every level ways to be more effective and accountable to their people. In addition to emphasizing ethics, innovation should empower the public sector to serve the needs of people better than ever before

Machine Learning X Doing Policy is an approach that brings a technical political economy perspective to improving government programs and services at the city, province, region, national or international levels

What we need to change the world is AI based on what it means to be human

The future of work is now. The economy cannot wait.

AI must create new opportunities for the people and realize the potential of governance to significantly improve the human condition.

That potential is here now. Next-level AI


It is up to us all to make the world a better place, starting with the impact of your institutions and policies

Introducing the next-generation of AI, designed around the fundamental question of what it means to be human

Together, we will inspire change in the world, by first introducing your organization to its true potential



Kweku Opoku-Agyemang, Ph.D.

Kweku Opoku-Agyemang, Ph.D., is former faculty at the University of California, Berkeley in development economics and a former computer science researcher at Cornell University. He has advised Google scientists, given talks at Facebook, presented to government officials from 12 countries and others.

A former session Chair at the Canadian Economic Association, Kweku believes that his next-generation Machine Learning x Doing approach can help organizations and countries to do better by their people by meeting or exceeding their potential. He is based in Toronto, Canada.