This section acts as a personal living document highlighting policy documents and relevant developments to AI policy across the globe. It is by no means comprehensive and will be updated regularly. If you use this resource please cite it.

Send me a message if you spot any pressing updates and errors, or if you'd like to contribute otherwise. Quoted text is generally directly from the linked resources.

Government Reports and Initiatives

National and Digital Data Consultation:

A new Space Strategy for Canada (involving AI):​

Build the next-generation AI-enabled deep-space robotic system: Leveraging the heritage of the Canadarms, our leadership in artificial intelligence (AI), and significant actions by the Government to cement that advantage through the Innovation Superclusters Initiative and the $125 million Pan-Canadian AI Strategy, Canada will remain a world leader in the domain of AI-enabled space robotics. To do so, Canada will invest $1.9 billion to develop and contribute an advanced, next-generation, AI-enabled deep-space robotic system."

International Panel on AI (formerly France-Canadian initiative):

"The mission of the International Panel on Artificial Intelligence (IPAI) will be to support and guide the responsible adoption of AI that is human-centric and grounded in human rights, inclusion, diversity, innovation and economic growth. The International Panel on AI will facilitate international collaboration in a multistakeholder manner with the scientific community, industry, civil society, related international organizations, and governments."


Pan-Canadian Strategy (CIFAR led):

In partnership with three newly established AI institutes – the Alberta Machine Intelligence Institute (AMII) in Edmonton, the Vector Institute in Toronto and MILA in Montreal. 

  • To increase the number of outstanding artificial intelligence researchers and skilled graduates in Canada.

  • To establish interconnected nodes of scientific excellence in Canada’s three major centres for artificial intelligence in Edmonton, Montreal and Toronto-Waterloo.

  • To develop global thought leadership on the economic, ethical, policy and legal implications of advances in artificial intelligence.

  • To support a national research community on artificial intelligence.

AI Supercluster Initiative:


Canada-France Statement on Artificial Intelligence*:


In advance of the 2018 G7 Summit, Canada and France agreed to create an international study group on inclusive and ethical AI. The two countries agreed to establishing a task force, which will release a report on the structure of the study group by the end of 2018.


CIFAR’s AI & Society Program*:


This program examines the questions AI poses for society, including economic, ethical, policy, and legal topics. CIFAR recently launched a Call for Workshops that will provide funding and support to bring together international and interdisciplinary teams exploring how AI will affect the world. 

G7 Statement on AI:

Non-Governmental Reports

Univ. of Montreal, Montréal Declaration for Responsible AI draft principles:  

Toronto Declaration:

The document focuses on the obligation to prevent machine learning systems from discriminating, and in some cases violating, existing human rights law. The declaration was announced as part of the RightsCon conference, an annual gathering of digital and human rights groups.

Ethics by design: Canada adopts AI ethics and data protection declaration:

Interesting Reading
Accessible mainstream literature

Canadian AI ecosystem 2018:​

Ethics by design: Canada adopts AI ethics and data protection declaration

A group of Canada's top artificial intelligence institutions aunched, a web platform to showcase Canada's leadership in the field of artificial intelligence. will serve as a hub of information about the research being done in Canada, the leading startups and companies in the AI space, and events happening across the country.

Quebec proposing international AI observatory:

AI Funding:

•     That money will go to three academic centres: the Montreal Institute for Learning Algorithms (MILA), the Alberta Machine Intelligence Institute (AMII) in Edmonton, and the new Vector Institute for Artificial Intelligence, based in Toronto. In return, the three organizations are to hire more scientists, do more research, train more students and – the important bit – nourish a growing ecosystem that will provide Canadian jobs, products and services based on artificial intelligence, or AI.

*    By itself, that money is not a huge sum. However, the Quebec government has allocated additional $100 million to its AI community in Montreal, while the Ontario government provided $50 million for the VectorInstitute. Over 30 private sector companies also invested over $80 million in the Vector Institute. In in September 2016, the Canada First Research Excellence Fund also gave $93.6 million to a trio of universities – Université de Montréal, Polytechnique Montréal and HEC Montréal – for cutting-edge research in an area of AI called deep learning.

Mapping the Canadian Ecosystem:


Miniseries on AI in Canada:

LG to open Research Lab in Toronto:

Names of public policy workers focused on AI governance (as of March 2018):

* thanks to Tim Dutton for adding / editing these

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© 2020 Charlotte Stix.