Machine Learning by doing
At its best, work is about putting people first and changing lives.
Canada invented modern AI that has changed lives, but it will take more than automation to save our families and economy from the disruptions of the COVID-19 (coronavirus) and other crises impacting the manufacturing, aviation and other industries.
We need a new AI that puts people first for the best possible future of work in Canada and the world.
Machine Learning x Doing: PEOPLE-ORIENTED AI
Machine Learning by Doing is next-generation AI that meets or exceeds existing productivity, work and profit standards
Identify AND SOLVE YOUR needs
Get your economic problems identified and solved with new AI
Cutting-edge algorithmic fairness, transparency and social impact
Maximum effectiveness for a new and globally-competitive Canada
Kweku Opoku-Agyemang, Ph.D.,
DIRECTOR oF THE
what is our social impact?
You may be feeling overwhelmed by ongoing events and struggling to understand your impact in your complex world that can only accept AI that is socially responsible and fair.
This question is more important than ever before. Machine Learning by Doing can help.
HOW CAN we be more effective and responsible?
By giving equal rigor to how computers and people learn in your environment, Machine Learning by Doing can help you understand how to effectively impact the experiences and comfort of your travelers, workers, staff and/or other stakeholders.
IS YOUR BACKGROUND SUITED TO HELping solve my complex problem(S)?
I am uniquely placed to help you with your multidisciplinary problem(s). I have 8 years of post-PhD research expertise in both economics and computer science departments (all at the University of California, Berkeley, often cited as having the best department in economics and in computer science in the world). I am an international research affiliate of the algorithmic fairness working group that externally advises Google and other scientists on Responsible AI research. I have given research presentations on various technical work to the World Bank, Facebook, Members of Parliament from 11 countries and public policy stakeholders such as the former Obama Administration Social and Behavioral Sciences Team. I was invited Chair of a session of the Canadian Economics Association at the University of Calgary.
HOW CAN we arrange a consulting?
Fill out the form, then send an email about your problem to machinelearningxdoing[at]gmail.com.
ML XD 🤖😆 🖥️💪