Equitable algorithms through representation, research, and reliability.
Serving schools, public bodies, and businesses
Equitable algorithms through representation, research, and reliability.
Serving schools, public bodies, and businesses
Independent reviews of your models for fairness, privacy, and safety. This includes algorithmic impact work in Canada, bias checks for machine learning models, and written findings on model fairness with priority fixes.
Keep AI used in international development aligned with human rights and social justice. We match project delivery with global ethical standards and responsible practice, and support capacity building for AI governance in low- and middle-income countries.
Industry-led ethical certification for AI teams and tools that meet high standards in fairness, accountability, and privacy.
We partner with schools, nonprofits, and companies to raise AI literacy. Options include AI ethics training in Canada, board sessions on governance, and introductory AI ethics courses offered online or blended.
Determine ethics: Stakeholder goals and impact review, grounded in local context and shared values.
Create Goals: Clear outcomes measured through meaningful indicators and representative inputs.
Generate Drivers: Actionable steps for AI teams to reach those outcomes, from AI risk assessment work to policy updates.