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The Journey to Responsible AI Begins Here.

RAI is defining responsible AI with an independent, authoritative certification program, and practical guidance on data rights, privacy, security, explainability, and fairness in AI systems. No matter where you are on your AI journey, our programs and services can help. From network, educate, assess, and certify, we have you covered.

A visual description of the Responsible AI tools


Responsible AI Fellowship Program invites multidisciplinary teams of students and professionals to tackle real-world challenges.

This program will support multidisciplinary teams of students and professionals selected from various universities and businesses to work on real-world responsible AI challenges and opportunities. Projects are sourced from RAI Members and external clients who play an important role in structuring project deliverables. Fellows work with domain experts in AI, data science, human-centric design, law, and regulatory policy. Fellows receive training in research skills and data collection, analysis, and presentation to deliver a work product that meets client needs.

Responsible AI Monthly Webinar Series fosters connection with key AI subject matter experts.

This program will enrich members with a reoccurring monthly webinar series with presentations from key AI subject matter experts. We curate our webinar topics based on the latest developments in the world of AI and data science, and offer networking opportunities both with webinar attendees and presenters.

Coming Soon


Responsible AI Design Assistant assesses work in development, to anticipate problems and future-proof AI systems.

Access research and industry best practices to assess key challenges, including data rights and use, privacy, security, explainability, fairness, bias, and robustness.

Responsible AI Industry Heat Map provides realtime examples to where AI is currently in use.

Everyone is talking about AI, but how and where is it actually being used? We've mapped out examples where AI has been harmful and where it's been helpful. Cases are updated weekly and found from various sources such as Awful AI, Upturn, Equal AI, and Charlie Pownall/CPC & Associates.

Responsible AI E-Learning Courses developed in partnership with TIQ Software.

TIQ Software is a leader in work-integrated digital learning software, and together with RAI designed a course to support the public in answering the question, “what is artificial intelligence (AI)?” and to help everyone recognize how AI can be helpful, or harmful, if not developed responsibly.

Responsible AI Community Portal provides access to a curated library of trusted resources.

The Community Portal is an open resource hub providing access to responsible AI standards, models, government policies, open datasets, and open-source software to help members better navigate the AI landscape and directly connect with experts.

RAII Events Calendar connects members to the latest events in responsible AI.

We understand the importance in always staying on top of industry events and happenings, so we’ve curated a calendar of can’t-miss events including conferences, speaker series, awards presentations and more to help. This calendar is updated weekly with upcoming, can’t miss advance.

RAIL Certification Beta is 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, RAIL 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. The result is a measurable, independent, authoritative certification program working across sectors and across regions around the world.