Machine Learning X Doing Service

Strengthening strategy. Turbo-charging efficiency, while enhancing public confidence in the police service. Machine Learning X Doing Service is an approach that emphasizes human dignity, transparency and brings responsible AI to the call to serve and protect.

Algorithmic fairness for social impact

Empowering innovation, improving community safety and maximizing social impact


It is up to us all to make the world a better place, and help law enforcement keep us all safe

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 city, 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.