THE FUTURE OF POLICY MAKING IS NOW
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.