Artificial Intelligence (AI) is quickly becoming part of everyday operations for Canadian small businesses and nonprofit organizations. From drafting emails and job descriptions to screening resumes, summarizing meetings, and analyzing data, AI tools promise speed and efficiency, often at little or no cost.
But here’s the part many employers overlook: AI creates legal, privacy, HR, and governance risks that still fall squarely on the organization, not the AI technology.
If you are a small business owner or an executive director of a nonprofit, this article answers some of the most common questions we hear about AI and explains how you can help to protect your organization with simple, practical safeguards.
What Are the Biggest AI Risks for Small Businesses and Nonprofits?
AI risks tend to fall into six key categories. These risks apply whether your organization has five employees or 500.
Frequently Asked Questions – AI Risks:
1. Can AI Create Legal and Compliance Issues for Employers?
Yes. AI tools often collect, process, or store personal and employment-related information. In Canada, this can trigger obligations under:
- Federal and provincial employment standards and human rights legislation
- Privacy laws such as PIPEDA, PIPA, FIPPA, PHIPA, and other applicable privacy statutes
- Governance and fiduciary obligations for nonprofit boards
Common risk scenarios include:
- Using AI to screen or rank job candidates without understanding how decisions are made and what prompts need to be added for the task
- Relying on AI-generated recommendations for discipline or termination
- Using AI or software tools that store data outside Canada without proper safeguards or disclosure
Why this matters:
Even if an AI tool makes the recommendation, the employer is still legally responsible for the outcome.
2. Can AI Lead to Bias or Discrimination in Hiring and Management?
Absolutely. AI systems learn from existing data, and that data may reflect historical bias.
This can show up as:
- Resume-screening tools that disadvantage certain age groups, disabilities, or non-traditional career paths
- Performance tools that penalize flexible or accommodation-based work arrangements
- Automated shortlisting without meaningful human review
For Canadian employers:
Human rights complaints can arise even when discrimination is unintentional. AI does not shield an employer from liability.
3. Is Employee and Client Data Safe When Using AI Tools?
Not always. Many AI platforms retain prompts, transcripts, or uploaded content to train their systems or improve performance.
Key privacy risks include:
- Employees entering confidential employee, donor, client, patient, or member information into public AI tools
- AI-assisted meeting recordings capturing sensitive governance or HR discussions
- Lack of clarity around where data is stored, who can access it, and how long it needs to be securely retained and then destroyed
Why this matters:
A single privacy breach can damage trust, trigger reporting obligations, and create reputational harm, especially for nonprofits.
4. Should Employers Rely on AI Outputs for Decisions?
No, at least not without human oversight.
AI-generated content can be inaccurate, outdated, or lack critical context.
Risks of over-reliance include:
- Acting on incorrect legal or HR advice generated by AI
- Treating AI-generated meeting summaries as official records without review
- Assuming AI tools are compliant simply because they are widely used
Bottom line:
AI can assist, but it should never replace professional judgment or accountability.
5. What Happens If There Are No Rules for AI Use at Work?
This is one of the biggest risks we see.
Without clear policies, employees may:
- Use AI inconsistently or in risky ways
- Upload confidential client or company information without realizing the impact
- Record meetings or generate documents without proper authorization or consent
For employers, this could lead to:
- Increased legal and privacy exposure
- The need to initiate and respond to complaints, audits, or investigations
- Governance issues for boards and leadership teams
6. What About the “Shadow AI” Factor?
Many leaders assume that because their organization hasn’t “adopted” AI yet, they aren’t at risk. In reality, your team likely started using it months ago.
This is known as Shadow AI. It’s when employees use personal accounts for tools like ChatGPT, Claude, or Midjourney to help with their daily tasks without official approval. While their intent is usually to be more productive, it creates a “blind spot” for the organization because the organization is unaware of its use.
Common “Shadow AI” Scenarios:
- An employee pastes a messy draft of a donor agreement into a public AI to “fix the grammar,” inadvertently uploading confidential legal terms to a third-party server.
- A staff member uses an AI tool to “summarize” a recorded Zoom call containing sensitive HR discussions, not realizing the transcript is now being used to train a global model.
- Marketing volunteers generate images for a campaign using AI tools that may be infringing on existing copyrights.
Why This Matters:
You cannot manage a risk you don’t know exists. If your organization doesn’t provide a sanctioned, secure way to use AI, or clear rules on what is off-limits, employees will often find their own “workarounds.”
The Fix:
Don’t aim for a total ban; it’s often unenforceable and hurts morale. Instead, foster an “Open Door AI Policy.” Encourage employees to disclose which tools they find helpful so the organization can vet them for privacy compliance and provide “safe” versions where possible.
How Can Canadian Small Businesses and Nonprofits Reduce AI Risk?
You do not need a complex AI strategy to get started.
The most effective first step is setting clear, written expectations about how AI can and cannot be used.
Best practices include:
- Defining acceptable and prohibited uses of AI tools
- Requiring human review for hiring, discipline, investigations, and termination decisions
- Protecting confidential and personal information
- Prohibiting entering private health information or other private information into an AI tool
- Setting rules for AI-assisted meeting recordings and transcripts
- Training employees and volunteers on responsible AI use
Applicable AI Regulations Across Canada
Is AI regulated differently across provinces? What do employers need to know?
As of 2026, Canada does not yet have a comprehensive federal law that governs how private-sector employers must use AI in the workplace. That means there isn’t a single “AI law” you must follow from coast to coast. Instead, employers must rely on a mix of existing laws and emerging provincial rules that affect how AI can be used responsibly at work.
Remember, Even in the Absence of Legislation, Privacy and Human Rights Concerns Apply
This means there isn’t a standalone federal AI regulation that applies to workplaces, and a federal AI bill (Bill C-27) did not pass into law. However:
- Privacy laws, like the Personal Information Protection and Electronic Documents Act (PIPEDA) or other legislation applying to personal or health information, still apply if your organization collects or uses personal information through AI tools. That means you must be transparent about what data you collect and how it’s used.
- Human rights laws at all provincial, territorial, and federal levels still prohibit discrimination based on protected characteristics, including where AI may contribute to biased outcomes.
In other words: even without an AI law, existing privacy, employment, and human rights laws already regulate AI by impact, not by name.
Ontario: Leading the Way on AI Transparency
Ontario is currently the only province to pass a law that directly regulates AI use in the workplace:
- Employers with 25+ employees who use AI to screen, assess, or select applicants must disclose that use in job postings – a requirement that started January 1, 2026.
- Ontario employers with 25+ employees are also required to have an electronic monitoring policy (which can include AI monitoring of productivity or communications) explaining how and why monitoring is done, even if they are not currently monitoring their employees.
- The Ontario Human Rights Commission (OHRC) has also published a Human Rights AI Impact Assessment tool to help organizations evaluate and mitigate bias and discriminatory risks when adopting AI.
Québec: Automated Decision Transparency Under Privacy Law
Québec doesn’t have a specific “AI law,” but its privacy regime under Law 25 has AI implications:
- When a decision is made exclusively through automated processing, individuals have the right to be informed of that fact.
- Québec’s rules also require you to let people request information about the personal data used, and correct it if needed. This can apply to AI decisions affecting candidates or employees, for example, automated screening or automated performance categorization.
Other Provinces: Focus on Existing Laws, Not AI-Specific Rules
Most other provinces do not yet have AI-specific legislation, but employers must still comply with:
- Provincial privacy laws (e.g., Alberta’s and British Columbia’s PIPA) when personal information is processed by AI systems.
- Human rights acts/codes that prohibit discrimination, including outcomes influenced by AI systems.
- Minimum employment/labour standards that apply regardless of how AI is used (e.g., equity in hiring, performance management, accommodations, etc.).
Key Takeaways for Employers and Nonprofit Leaders
- As of 2026, no province or territory regulates AI in workplaces, but Ontario stands out with mandated transparency for AI use in hiring.
- Québec’s privacy regime already affects AI decisions by requiring disclosure and human review rights.
- Across Canada, employers must treat AI use as part of existing privacy, human rights, and employment obligations.
- Even if your organization is small, these rules matter, and stronger policies now will help protect you as laws evolve.
If you are an HR Covered client and need a tailored Artificial Intelligence policy, please write to us at service@hrcovered.com or request a document via the HR Hub.
Final Thoughts for Employers and Executive Directors
AI can absolutely be a competitive advantage for small businesses and nonprofits, but only when it is used responsibly.
Clear policies protect your people, your data, your leadership team, and your board. If your organization is already using AI (or plans to soon), now is the time to formalize expectations.
AI is here to stay. Risk doesn’t have to be.
