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Laurier faculty and staff use generative AI to augment their work in a responsible, ethical, transparent, and educated manner that is compliant with applicable policy and legislation.

Use of Generative AI

Generative artificial intelligence (AI) refers to a category of artificial intelligence (AI) tools that generate new outputs, similar in characteristic to the data on which they have been trained, in the form of images, text, audio, and more.

Organizations, including Wilfrid Laurier University, have been using AI for years, mainly in the form of analytical AI, in which the AI system is designed to recognize patterns and make predictions. With analytical AI, the input data are known and the predictions are replicable. Generative AI systems, however, are built on large sets of training data that Laurier has had no input in assembling nor knowledge of the content. The training data wholly influences the content that is generated, and if the data are biased, the output is likely to be biased as well. Generative AI systems may generate content that is not factual and/or that offers correct surface-level facts or analysis while struggling with extended questioning. A generative AI tool will provide multiple different answers to the same question.

Laurier’s principles of use for generative AI align with the institutional expectations of use for all types of software, with the understanding that generative AI has characteristics that require enhanced caution and care.

Principles of Use


Take responsibility, within all reasonable efforts, for the accuracy of the inputs and generated content and any decisions that the content informs.


Ensure that the generated content and decisions that it informs complies with human rights and accessibility obligations and does not include or amplify biases.


Clearly acknowledge the use of generative AI as a primary content generator and/or as a support for decision making.

Laurier will be transparent with faculty and staff about the institutionally approved tools in which generative AI is embedded and the extent to which faculty and staff can control the use of generative AI in their daily work.


Understand the strengths and limitations of generative AI and know how to responsibly and effectively use the tools.

Compliance with Applicable Policy and Legislation

Data Privacy and Security: Know which types of data can be used with a specific software tool.

  • If a generative AI tool does not have PSIA-approval from the university, only Type 1 data can be submitted and faculty and staff cannot use their Laurier credentials (Laurier email address and Laurier password) if sign-in is required. You can create an account using your Laurier email address but you must use a different password than you use for your Laurier account.
  • Software that uses generative AI that is PSIA-approved by the university will be approved for Type 1, Type 2, and/or Type 3 data.

Intellectual Property: Take all reasonable steps to ensure that the submitted input and generated content does not violate third-party intellectual property rights.

  • Generated content may draw from third-party sources, including protected intellectual property.
  • Generative AI tools do not include citations or references, and generated content may directly plagiarize from third-party sources.

Before using generative AI tools in your work, we encourage you to connect with your manager, supervisor, chair, coordinator, or dean. For any questions regarding the use of generative AI in your work, contact

Generative AI Resources

Teaching and Learning

Explore the possibilities and realities of generative AI in teaching and learning. This comprehensive guide on the integration of generative AI in the classroom outlines its potential to support your teaching experience. It examines how generative AI can enhance traditional educational approaches and offers insights into how educators at Laurier can leverage the technology.

View the updated guidelines for instructors.

Transparency and Citing Generative AI Tools

This guide on citing artificial intelligence sources helps navigate the intricacies of referencing AI-related materials. Whether you're a student, researcher or professional, this resource offers instructions on citing AI sources effectively.

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Generative Artificial Intelligence