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Policy Feedback on The Personal Information Protection and Electronic Documents Act (PIPEDA)

TORONTO, October 15, 2021

Dr. Kweku Opoku-Agyemang provided written feedback to the Office of the Privacy Commissioner of Canada (OPC) on The Personal Information Protection and Electronic Documents Act (PIPEDA), which focuses on facial recognition guidelines. It was submitted on October 15, 2021 to assist with the feedback collection of the Office from the community. The response does not represent the perspective of the Office of the Privacy Commissioner of Canada or Machine Learning X Doing but the opinion of Kweku Opoku-Agyemang. This written feedback should not be taken to imply that Kweku Opoku-Agyemang or Machine Learning X Doing are federal or provincial contractors. It was an open notice of consultation and call for comments submitted by the OPC to all Canadians.

A link for Dr. Kweku Opoku-Agyemang’s comments on the OPC draft guidelines can be found here.


Solve your Policy

Public and International Policy Making for the Twenty-first Century. Policy in the language of algorithms to close the gap between good intentions and social impact

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 with contexts such as AI social impact, algorithmic fairness, privacy and others

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.

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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.