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Canada's Directive on Automated Decision-making
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Canada's Directive on Automated Decision-making
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This project adapts CANChat, a secure federal generative AI tool, into a customisable resource for HICC. Models are being fine-tuned, and internal knowledge repositories are being built to streamline departmental workflows. The project is built with accessibility in mind, ensuring that these powerful AI insights are inclusive and fully available to all staff who need them.
SOPHOS is an AI‑enabled language learning tool designed for use across the Government of Canada. It was first developed to support Canadian diplomats by providing adaptive training in more than 15 foreign languages aligned with the Interagency Language Roundtable (ILR) scale. The application is now being expanded to offer English and French training that meets federal official languages requirements, helping public servants across all regions access consistent, affordable learning.
The AI Agent for Travel is an artificial intelligence assistant that gives public service employees quick, clear answers about travel rules and expense claims. It was created by government staff to reduce the large number of emails, delays, and confusion caused by complex travel policies. The assistant provides answers in seconds, saves staff time, and lowers administrative costs.
The Canada Revenue Agency (CRA) integrated a generative AI tool into its Service Feedback Program to help employees review cases and prepare correspondence more efficiently. The tool uses internal guidance documents to support daily tasks. It was introduced to reduce manual work, improve quality, and speed up service to clients while keeping employees in control of decisions.
The Canada Revenue Agency (CRA) launched a public generative AI chatbot to help people find tax information quickly and easily. It answers common questions using official CRA website content. The chatbot was developed to improve digital service, make information easier to access, and reduce pressure on phone and in-person services.
It applies ML techniques to identify and flag anomalous patterns in large volumes of bridge sensor data from HICC-owned major bridges. The initiative focuses on improving data quality by detecting irregular, missing or inconsistent sensor readings, thereby producing cleaner datasets. These cleaned datasets can be used by engineers and analysts to support monitoring activities related to structural integrity, infrastructure safety and long-term asset management, including lifespan extension.
GeoMatch is an algorithmic tool that generates personalised recommendations on locations to settle in Canada based on client preferences and outcomes of past immigrants with similar characteristics. This tool is being tested with a subset of Express Entry applicants to identify preferred, high-opportunity settlement locations with the strongest economic outcomes based on applicants’ career-related skill sets, complementing other sources of information at their disposal.
Alberta is advancing a coordinated set of policies and frameworks to ensure AI is used transparently, ethically, and safely across government, protecting Albertans while enabling responsible innovation.
The Government of Newfoundland and Labrador’s Responsible Use of Artificial Intelligence Policy sets clear rules for how AI can be used safely and responsibly across government. It ensures AI is approved, transparent, and subject to human oversight, while protecting privacy, fairness, and public trust. The policy supports responsible innovation and consistent decision-making across departments.
The AI Strategy lays out a plan for how the government will move forward with AI from 2025–2027. It highlights the importance of coordinating across federal departments, learning from collective experiences, and supporting departments of all sizes and maturity as they explore this technology. It also sets out the role of leaders in adapting AI to their organisations’ mandates. This role includes ensuring strong data foundations and the use of agile practices.