BETTER CARE FOR HEALTH PROVIDERS, INDUSTRIES AND POLICY MAKERS NOW
Science for effectiveness in healthcare
TORONTO. MARCH 2022. Computational Ethics, by Kweku Opoku-Agyemang and collaborators was published in Trends in Cognitive Sciences. The work offers a way to merge algorithms with human morals, using tools from cognitive science. The paper is available here.
A healthier economy.
Partner for a Healthier Economy
WE PARTNER WITH INDUSTRIAL, HEALTH AND ACADEMIC PARTNERS TO DEPLOY A TRULY 21ST CENTURY HEALTH CARE, BUILT FOR ECONOMIC, BEHAVIORAL AND SOCIAL IMPACT.
WE ARE HERE TO CONDUCT VITAL RESEARCH AND INNOVATION FOR ENHANCING WELL-BEING FOR ALL
UNDERSTAND EACH OTHER. SOLVE YOUR PROBLEMS
Innovate and be data-driven
ENHANCING THE HEALTH OF THE ECONOMY
Machine Learning X Doing Health Economics
Effective medical staff and healthier patients can come with better well-being for the economy as a whole. However, that takes the best technology possible and innovation in every sense of the word. What if record performance made medical workers better off in terms of their work conditions and well-being?
Algorithmic fairness and responsibility for heightened effectiveness and social impact
Empowering health innovation, improving community safety and maximizing social impact throughout the health care process
Humans and AI should be complements, not substitutes.
It is up to us all to make the world a better place, starting with the effectiveness and well-being of your health care systems
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 founder and director of Machine Learning X Doing. An economist, he has independently advised several stakeholders in the technology industry; given seminars at the world’s best universities such as Stanford University and presented to government officials from several countries and many others, such as the World Bank.
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 and taking their culture to its real potential. He is based in Toronto, Canada.