2. Who can apply
1. Eligible applicants
| If you are a business | If you are a not-for-profit organization providing services to businesses | |
|---|---|---|
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To be eligible, your business must:
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To be eligible, your organization must:
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Responsible development and use of AI
Your AI/AI-driven solution is or has been developed in a manner that complies with current and anticipated legislative requirements and industry standards, and you have a plan to align your project with principles of responsible AI such as:
- Cybersecurity – Data, any IP, AI systems and underlying infrastructure are protected from cyber threats, a pre-requisite to data privacy.
- Human oversight and accountability – Humans exercise meaningful oversight and regular monitoring of AI systems, and there are accountability frameworks in place with respect to performance, impacts and compliance with ethical, technical, and legal requirements/standards.
As relevant:
- Data governance and privacy – Policies, practices and roles are in place to ensure sound stewardship and quality of data used for the training or operation of AI systems. If the data involved is personal/sensitive, sound governance will ensure lawful, consent-based access, collection and use of only data that is needed for the intended purpose, as well as the proper retention, disclosure, and deletion of this data to prevent unauthorized access. Privacy is a fundamental right in Canada.
- Safety – Risks of harm (physical, psychological, financial, etc.) to individuals or society are identified and mitigated.
- Fairness and equity – AI systems do not reinforce or create bias against specific groups of people.
- Accuracy and authenticity – AI systems produce results that are reliable, correct and original, and are based on data that are accurate, authentic, relevant and unbiased, etc.
2. Eligible projects:
| If you are a business | If you are a not-for-profit organization | |
|---|---|---|
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The AI Adoption pillar supports projects focused on the purchase and installation of AI or AI-driven solutions (beyond the purchase of commonly available AI tools) within business operations with the aim to scale, improve process efficiency, and/or increase productivity and competitiveness. Examples of supportable activities could include:
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The AI Adoption pillar supports projects focused on strengthening regional or sectoral productivity and competitiveness by supporting businesses with the adoption or integration of AI solutions within their operations (beyond the purchase of commonly available AI tools). Examples of supportable activities could include:
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