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.
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.
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.
Data Privacy and Security: Know which types of data can be used with a specific software tool.
Intellectual Property: Take all reasonable steps to ensure that the submitted input and generated content does not violate third-party intellectual property rights.
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 GenAI@wlu.ca.
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Generative Artificial Intelligence