FIGHT CRIME WITH ALGORITHMIC FAIRNESS NOW
Science for effective and fair service, protection and algorithmic justice reform
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UNDERSTAND. INNOVATE. SOLVE.
Innovate and be data-driven
Policy Feedback on The Personal Information Protection and Electronic Documents Act (PIPEDA) Guidelines for Police Agencies in Canada
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 for Canadian police agencies. It was submitted on October 15, 2021. 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. 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.
THE FUTURE OF THE FIGHT AGAINST CRIME
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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
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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
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Hi.
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.
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