The Canadian AIA is a mandatory risk assessment tool intended to support the Treasury Board’s Directive on Automated Decision-Making. It is organized according to Government of Canada’s policy, ethical, and administrative law considerations of automated decision system risk areas as established through the Treasury Board of Canada Secretariat’s consultations with academia, civil society, and other public institutions.
This collection of case studies aims to serve as compass and inspiration for future projects and to foster fruitful debates. They were collected during the development of the initiative.
Canada & Brazil
A tool kit that visually represents the alternatives to procure innovation under Brazilian Law.
The AI4Good Lab is an introductory program to AI for those with some programming background and intermediate to no experience in machine learning.
Center for AI, a joint initiative held by University of São Paulo, IBM and FAPESP (Research Agency of the State of São Paulo).
It is a research program that focuses on Responsible Innovation in Health (RIH) and conducts research in Canada (Québec, Ontario) and in Brazil (State of São Paulo). The program offers assessment tools and user guides.
Based at Concordia University in Tiohtià:ke (Montreal), the Indigenous Futures Research Centre (IFRC) explores how Indigenous people are imagining the future of their communities.
A collective endeavour that aims to steer the development of AI to support the common good, and guide social change by making recommendations with a strong democratic legitimacy.
Université de Laval’s research project on health data sets and consent.
The CHUM Center for the Integration and Analysis of Medical Data (CITADEL) is one of the initiatives adopted by the University of Montreal Health Centre (CHUM). The project was born to structure (and validate) data sources (clinical, administrative, financial, management, research) in order to use them for research and improvement of health interventions.
Santa Casa de Misericórdia de Porto Alegre (SCMPA) used Laura, an artificial intelligence platform, to alert care team professionals of patients at risk of clinical deterioration to reduce the mortality rate and improve the provider’s operational processes.
Public health online platform that allows São Paulo citizens to access telemedicine by APP, phone call, or chat bot (virtual assistant). It is an example of data integration and telemedicine at the municipal level.
COVID-19 Data Sharing/BR is Brazil’s first repository of anonymized demographic, clinical and laboratory data regarding patients tested for COVID-19 in the state of São Paulo. The purpose of the platform is to enable sharing of patient data to support scientific research on the disease in various knowledge areas. The repository will initially hold open-access anonymized data.
The First Nations Data Centre is a Knowledge Translation resource from FNIGC that provides access to published, unpublished, and record-level data from our respected national survey work.
Canada's platform for action across academia, industry, clinical practice, government, and community.
An online platform to buy and sell innovations or find innovation business opportunities.
International Observatory on the Societal Impacts of AI and Digital Technology.
The Toronto Public Library promotes workshops with the public to improve data literacy and skills.
Open North exploration of Québec civil law data trust (control without ownership, purpose first). It includes a “Definition and Implementation of Data Trusts in Québec Civil Law” and workshop takeaways.
Free public WIFI program coordinated by the Municipal Department of Innovation and Technology (SMIT) in São Paulo, designed in collaboration with other stakeholders.
The Command Centre is a highly advanced, data-driven ‘mission control’ situated at the heart of Humber River Hospital. The 4,500 square foot facility enables us to monitor and manage the flow of our patients at every stage of their care journey with us.
The innovation hub of the São Paulo government.
Québec AI Institute and their global consultation on the ethics of AI.
The AI Futures Policy Lab is a full-day workshop for policy innovators to explore the intersection between public policy and artificial intelligence.
A set of actionable procurement guidelines to enable decision-making that can also be evaluated, this World Economic Forum project provides a guidebook designed to unlock public-sector adoption of AI through government procurement and a set of complementary tools to demonstrate the global consensus on the responsible deployment of AI technologies.
A summary and guidelines, published in 2020 by the United Kingdom government, of best practices addressing specific challenges of acquiring Artificial Intelligence technologies in government.
Guidelines developed by the World Economic Forum Centre for the Fourth Industrial Revolution, in consultation with a multistakeholder community in 2019.
Framework for the Classification of AI Systems, which is divided into four parts (context, data and input, AI model, task and output) and has been designed to give policymakers clarity.
OPTIC’s roadmap and report on “Artificial intelligence, solidarity and insurance in Europe and Canada” featuring examples and case studies
Pioneering Government Laboratory in Latin America focusing on public innovation.
Report “Preparing the healthcare workforce to deliver the digital future” and what has been developed in terms of training following the publication of the Topol Review in the UK NHS.
The Algorithmic Justice League’s mission is to raise awareness about the impacts of AI, equip advocates with empirical research, build the voice and choice of the most impacted communities, and galvanize researchers, policy makers, and industry practitioners to mitigate AI harms and biases.
Fast track process to assess digital health applications (DiGA) that can be prescribed to patients. The Fast Track-procedure defines a full set of requirements for DiGA. It is based on the assumption that digital applications must be safe and easy to use to be successfully established in healthcare, aiming for a successful link between privacy and information security on the one hand and user friendliness and high performance on the other hand.
Multidisciplinary firm that brings together experts in Data protection law, Cybersecurity, AI Ethics and Technology to work on AI assessment.
An initiative that aims to empower stakeholders to advance health care by fostering responsible and high-quality digital health innovation.
AI literacy online course designed by the University of Helsinki.
The NHS AI Lab Skunkworks programme aims to find new ways to use AI for driving forward the early adoption of technology to support health, in both clinical and business contexts.
The Topol Programme for Digital Fellowships in Healthcare provides health professionals with time, support and training to lead digital health transformations and innovations in their organizations.
The Health Data Hub includes an international benchmark in 11 countries, multiple case studies, and a report about data access platforms.
Based in Berlin, the Hub will benefit from WHO’s presence in more than 150 countries. By linking local and global initiatives together, the WHO Hub aims to foster a collaborative environment for innovators from across a spectrum of disciplines, allowing it to leverage the best technology and anchoring its work in the needs of stakeholders around the world.
Funding to support civil society organizations, including a Policy and Advocacy Core Grant.