Artificial intelligence is no longer a future workplace issue. Many Ontario employers are already using AI tools to draft documents, summarize emails, screen applications, schedule meetings, analyze data, generate marketing copy, or support customer service. Employees may also be using public generative AI tools on their own, even when the employer has not formally approved them.
This creates a practical challenge. AI can improve efficiency, but it can also introduce new legal, operational, and reputational risks. Without clear workplace policies, employers may not know how AI is being used, what information is being uploaded, whether employees are relying on inaccurate outputs, or whether hiring and performance decisions are being influenced by automated tools.
A workplace AI policy does not need to stop innovation. Its purpose is to create guardrails. For Ontario employers, a clear policy can help employees understand when AI use is allowed, when it is prohibited, who must approve it, and how human oversight fits into workplace decisions.
AI Is Already Part of the Workplace
Generative AI tools can produce text, images, code, summaries, spreadsheets, presentations, research notes, and customer responses. In some workplaces, these tools are formally approved and integrated into operations. In others, employees may be using free or personal AI platforms without the employer’s knowledge.
That informal use can create uncertainty. An employee might upload confidential business information to an external platform. A manager might rely on an AI-generated performance summary without checking the underlying records. A recruiter might use an automated screening tool without fully understanding how it ranks candidates.
These examples show why AI use should not be treated as only an IT issue. It can affect employment standards compliance, privacy, human rights, workplace investigations, discipline, confidentiality, intellectual property, and the quality of workplace decision-making.
Why an AI Policy Matters
A written AI policy helps define acceptable and unacceptable uses of workplace technology. It can also help reduce inconsistent practices across departments. Without a policy, one team may use AI for client communications, another for HR screening, and another may ban it altogether.
For employees, a policy provides clarity. It can explain whether AI tools may be used for drafting, research, translation, note-taking, data analysis, or internal communications. It can also identify tasks where AI use is restricted because of confidentiality, accuracy, privacy, or human rights concerns.
For employers, a policy creates a framework for training, supervision, and accountability. It can set expectations before a problem occurs, rather than leaving the organization to respond after sensitive information has been shared, a flawed decision has been made, or a complaint has been raised.
Confidentiality and Data Protection Risks
One of the most immediate risks of generative AI is the handling of confidential information. Employees may be tempted to upload documents, contracts, client information, employee records, medical notes, financial data, or internal strategy materials into AI platforms to summarize or rework them.
Depending on the tool and its settings, uploaded information may be stored, reviewed, processed, or used in ways the employer did not intend. Even where a platform offers stronger privacy controls, employees may not understand the difference between an approved enterprise system and a public tool accessed through a personal account.
An AI policy can address what information must never be entered into external AI systems. This may include personal employee information, customer data, trade secrets, legal documents, proprietary business records, and any information subject to confidentiality obligations. The policy can also require employees to use only approved tools for work-related purposes.
Accuracy, Verification, and Human Oversight
AI-generated content can sound confident even when it is incomplete, outdated, or incorrect. This creates risk when employees rely on AI outputs without reviewing them. In a workplace context, inaccurate AI content could affect reports, customer communications, safety materials, job descriptions, employment letters, investigations, or management decisions.
A workplace AI policy can make clear that AI is a tool, not a substitute for employee judgment. Employees may be required to verify AI-generated information before using it, check source materials, confirm calculations, and ensure that the final work product is accurate and appropriate.
Human oversight is especially important where AI is used in decisions affecting employees or applicants. Hiring, discipline, performance management, promotion, accommodation, and termination decisions should not be left to automated tools without meaningful review. A policy can confirm who is responsible for final decisions and what records must be maintained.
AI in Hiring and Recruitment
AI use in hiring deserves particular attention. Employers may use automated systems to screen resumes, rank applicants, assess video interviews, search for keywords, or generate candidate shortlists. These tools may appear efficient, but they can also create transparency and human rights concerns.
In Ontario, employers must now disclose in publicly advertised job postings if they use artificial intelligence to screen, assess, or select applicants. This underscores the importance of employers understanding whether AI is used at any stage of recruitment, including through third-party platforms or external recruiters.
An AI policy can require HR staff, hiring managers, and outside vendors to identify when AI tools are being used. It can also require reviewing job postings before publication, overseeing screening criteria, and documenting how candidates are assessed. This can help employers avoid treating AI as a hidden part of the hiring process.
Human Rights and Bias Concerns
AI systems may reflect bias in the data used to train them, the criteria selected by users, or the way outputs are interpreted. In employment settings, this can raise concerns under Ontario human rights law if AI tools disadvantage applicants or employees on the basis of protected grounds, such as disability, age, race, sex, family status, creed, or other Code-protected characteristics.
For example, a resume screening tool may favour candidates with certain career patterns. A video assessment tool may create barriers for applicants with disabilities. A scheduling tool may produce outcomes that affect employees with caregiving obligations. Even if the employer did not intend a discriminatory result, the impact of the tool may still matter.
A workplace AI policy can require human rights review before AI tools are used in hiring, promotion, scheduling, performance management, or accommodation processes. It can also require employees to report concerns about biased or unfair AI outputs so the employer can review the issue.
AI and Electronic Monitoring
Some AI tools may also involve electronic monitoring. Employers may use software to track productivity, analyze communications, monitor keystrokes, review customer interactions, assess call quality, or evaluate employee performance. Where AI is layered onto monitoring systems, employees may not always understand what information is being collected or how it is being used.
Ontario employers with 25 or more employees are required to have a written electronic monitoring policy if they meet the statutory threshold. That policy must address whether the employer electronically monitors employees and, if so, describe how and in what circumstances monitoring may occur and the purposes for which information may be used.
An AI policy should align with the employer’s electronic monitoring policy. If AI tools are being used to analyze employee activity, productivity, communications, or performance, the employer should consider whether existing monitoring disclosures remain accurate and complete.
Employee Work Product and Intellectual Property
AI can also raise questions about ownership and originality. Employees may use generative AI to draft marketing copy, software code, policies, presentations, training materials, or other work products. This may create uncertainty about whether the content is original, includes third-party material, and can be used commercially.
An AI policy can address when employees may use AI to create workplace materials and whether disclosure is required. It can also require review before AI-generated content is published, sent to clients or customers, used in legal or regulatory documents, or incorporated into products or services.
Employers may also want to address prompts and outputs. Prompts can contain confidential information, while outputs may require review for accuracy, originality, tone, accessibility, and compliance with internal standards.
Training Employees on Responsible AI Use
A policy is most useful when employees understand it. AI tools are evolving rapidly, and employees may not appreciate the risks of copying sensitive information into a chatbot or of relying on a generated answer without verification.
Training can help employees understand approved tools, prohibited uses, confidentiality rules, accuracy checks, reporting obligations, and escalation procedures. It can also clarify that employees remain responsible for their work, even where AI assisted with the first draft or initial analysis.
Managers may need additional training. They are often the people making decisions about hiring, performance, discipline, scheduling, and accommodation. If managers use AI in those areas, they should understand the tool’s limits and the need for human review.
What an Ontario Workplace AI Policy May Include
The content of an AI policy will depend on the employer’s size, industry, workforce, technology, and risk profile. However, many policies address several core issues.
A policy may define AI and generative AI, identify approved tools, prohibit the use of unapproved platforms for work tasks, and restrict the upload of confidential or personal information. It may also require employees to verify outputs, disclose AI use in certain work products, and obtain approval before using AI for hiring, performance management, discipline, or other employment-related decisions.
The policy may also explain how AI use connects with existing policies, including confidentiality, privacy, cybersecurity, workplace harassment, accommodation, electronic monitoring, social media, intellectual property, and discipline policies. This helps avoid gaps or contradictions between workplace rules.
Reviewing Vendor and Third-Party Tools
Many employers use software created by third-party vendors. These systems may include AI functions even if they are marketed as HR, scheduling, productivity, payroll, applicant tracking, or customer management tools. Employers may not always know when AI has been added through a software update or optional feature.
Before adopting a new tool, employers may wish to review what the tool does, what data it collects, where information is stored, whether outputs can be explained, and whether the vendor provides safeguards for privacy and human rights concerns.
Vendor review is especially important for recruitment, monitoring, performance management, and scheduling tools. An employer may still face workplace consequences if it relies on a third-party system that produces inaccurate, unfair, or discriminatory outcomes.
Keeping the Policy Current
AI policies should not be one-time documents. Technology, workplace practices, and legal requirements continue to develop. A policy that works today may become outdated as new tools are adopted or new rules come into force.
Employers can build in regular review periods and require employees to seek approval before using new AI platforms. HR, management, legal, privacy, cybersecurity, and operations teams may all have a role in reviewing how AI is used across the organization.
The goal is not to predict every future development. The goal is to create a practical structure that helps the workplace identify AI use, assess risk, and respond consistently.
AI Policy Development Is a Workplace Governance Issue
AI can be useful, but it should not operate in the background without oversight. In Ontario workplaces, AI use may affect transparency in hiring, employee privacy, human rights, confidentiality, electronic monitoring, and workplace decision-making.
A clear AI policy helps employers communicate expectations before disputes arise. It can also help employees use new tools responsibly while preserving human judgment, accountability, and legal compliance.
As AI becomes more common in day-to-day work, Ontario employers may benefit from reviewing whether their existing workplace policies are ready for the technology employees are already using.
Baker & Company: Managing Employer Risks in Artificial Intelligence and Electronic Monitoring
For Ontario employers, workplace AI policies are becoming an important part of employment law compliance, HR management, and risk reduction. Our experienced employment lawyers at Baker & Company can assist employers with reviewing existing workplace policies, developing AI use guidelines, updating electronic monitoring policies, and addressing employment standards, human rights, privacy, and workplace investigation concerns connected to artificial intelligence. To discuss workplace AI policies, employee handbooks, or Ontario employment law compliance, contact the firm at 416-777-0100 or visit us online to arrange a consultation.
