The world’s first independent, accredited certification program of its kind.
Developed under the Global AI Action Alliance for the World Economic
Forum (WEF), along with a diverse community of leading experts, RAI
certification is based on objective assessments of fairness, bias,
explainability, and other concrete metrics of responsibly built AI
systems. The Schwartz Reisman Institute for Technology and Society
(SRI) at University of Toronto is serving as a business partner on the
development phase of the initiative.
Certification of AI Systems
Our certification program looks comprehensively across the data,
systems, and the context which the AI system are being used.
Build on existing frameworks and regulations
Provide a practical and unified framework that translates across
already-existing work from the industry. We are not trying to
re-inventing the wheel.
Assessments specific to system type
Assessment criteria will be customized based on the type of AI system
being assessed (e.g., Intelligent process automation, Image & Object
recognition, Text & Speech Analysis, Advanced data analytics, NLP &
Assessments specific to domain and region
In order to have meaningful substance, assessment criteria will also
cover specific application domains (e.g., credit & collections,
healthcare diagnostics, etc.), and regions.
Automated Diagnosis and Treatment
Health recommendation systems