The evolution of AI fairness has come a long way.
Started as interdisciplinary research involving philosophy, cognitive science and computer science, FAIRLY is now at the forefront of commercializing these research results into actionable protocols.
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OUR MISSION
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To make AI work for everyone.​
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OUR VISION
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To automate AI governance, risk and control protocols in day-to-day engineering and in the entire end-to-end model lifecycle.​
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OUR TECHNOLOGY
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For organizations that have prioritized AI projects to create business value, Fairly is an API-driven toolkit that runs independent enterprise-scale, governance, risk, and control protocols. If you don’t manage your AI ethical risk alongside your financial risk, you are guaranteed to fail. Fairly extends model risk management to AI by incorporating protocols for ethical risks with a focus on Fairness, Accountability, Transparency and Explainability. (F.A.T.E.)
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FAIRLY is platform agnostic and receives data from all major technologies. We have direct integrations into Kubeflow and Google AI Platform and will soon release integrations with AWS SageMaker and Azure Machine Learning.
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OUR PEOPLE
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Based in Canada, in the Toronto-Waterloo innovation corridor, our team has decades of experience in providing enterprise technology solutions at Fortune 500 companies in addition to expertise in data science, model risk management and AI ethics.
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FOUNDING TEAM
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David Van Bruwaene
David did his PhD studies at Cornell for Philosophy and Cognitive Science and was a visiting scholar at Berkeley. He taught business ethics at the University of Waterloo before becoming the lead data scientist and CEO at an AI startup using NLP to detect cyberbullying on social media. From his unique experience as an academic, practicing data scientist, C-level executive and as a father, he truly understands the gap that exists and is determined to bring oversight to keep AI safe for everyone.
Fion Lee-Madan
Fion is a technologist and B2B product marketing expert with 20+ years of experience in the enterprise software space. She has double majored in computer science and human biology at the University of Toronto and completed her part-time MBA degree from Boston University. She was the technical team lead in product marketing at ATG when it was acquired by Oracle in 2010. Having lived in 6 different countries, she has seen first-hand the disparity between developing and first world countries. It is one of her goals to make sure AI does not create more inequalities in the world.
ADVISORS
Debora Bielecki
Member, Board of Directors
Bank of Canada
Mary Komor
2 patents & 10 publications
Data governance & streaming applications
Wendy Robertson
CEO/Co-Founder
Kneebone SaaS
Jon Hill, Ph.D.
Adjunct Professor, Model Risk
NYU Financial Risk Engineering
Pamela Jasper, PMP
AI Ethicist
FAIR Framework for AI Risk
Jason Boud
CEO/Co-Founder
RegTech Associates
Yaping Jiang, Ph.D.
Managing Director, FRM
JW Matrix
Girish Kumar
CTO/Investor
Enterprise software and startups
