Syllabus Insert: Quinncia Privacy and Enviromental Statement
Faculty can paste the text below into a syllabus or course page as written. Replace the bracketed help-article link once the article is published.
Quinncia: AI Career Readiness Tool, Your Privacy, and the Environment
This course uses Quinncia, an AI-powered platform provided through [University Name] that gives you feedback on your resume, mock interviews, LinkedIn profile, and elevator pitch. Quinncia coaches you rather than doing the work for you: it shows you how to improve but doesn’t write your materials or answers.
Quinncia complies with FERPA (Family Educational Rights and Privacy Act) and GDPR (General Data Protection Regulation). It does not sell or share your personal data, and it does not use your data to train outside AI models or its own algorithm. Your data stays within our institution’s instance of Quinncia and is used only to provide the service to you.
Quinncia uses short text-based AI interactions, running on Google’s Gemini model on Google Cloud, and does not generate images or video. Even for external models, Quinncia does not share any user personal data with any external models and will anonymize and mask the data for all interactions.
Based on Google’s published measurements, one resume review uses an estimated half a watt-hour of energy, about half a millilitre of water (roughly 10 drops), and produces about 0.06 grams of carbon emissions. By comparison, one minute of scrolling TikTok on a phone produces roughly 1 gram. Every digital activity uses some energy and water, so use AI where it genuinely helps your work.
To learn more, read How Quinncia Protects Your Privacy or the full Quinncia Privacy Policy. Questions about your data can go to support@quinncia.io.
Sources for environmental figures:
Elsworth, C., et al. (2025). Measuring the environmental impact of delivering AI at Google scale. arXiv:2508.15734. https://arxiv.org/abs/2508.15734
Greenspector. (2023). What is the environmental footprint of social networking applications? 2023 edition. https://blog.greenspector.com/en/what-is-the-environmental-footprint-of-social-networking-applications-2023/