GenAI Tools and Privacy Impact Assessment (PIA)
Under British Columbia’s Freedom of Information and Protection of Privacy Act, a Privacy Impact Assessment (PIA) is required for university tools and initiatives that handle personal information. At UBC, PIAs are conducted on a case-by-case basis, with a focus on proactively mitigating privacy risks associated with information handling. Please consider this page and website as educational resources only, providing information without official endorsement.
The PIA for each tool varies with its use and for interim guidelines on use of GenAI tool usage at UBC, see Interim PIA Guidelines: Generative AI Tools. Guidance specific to instructors can be found through the Privacy Impact Assessments for GenerativeAI Instructional Use.
PIA Guidelines
The AI Tools at UBC Guidelines below list AI tools that have undergone PIA review by UBC’s Safety & Risk Services team. The PIA for each tool varies with its use and data collection; tools may have multiple PIAs. This list represents a subset of ongoing assessments. Tools covered include Microsoft 365 Copilot, Chat GPT, GitHub Copilot, and DALL-E. Tool uses cases can include content creation, analysis and summarization.
Please evaluate your specific needs before using an AI tool and consider if a PIA is required.
Privacy & Risk Guidance
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Nudge Users to Catch Generative AI Errors
Using large language models to generate text can save time but often results in unpredictable errors. Prompting users to review outputs can improve their quality.
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AI-Related Risks Test the Limits of Organizational Risk Management
An international panel of AI experts believe many organizations need to adjust risk management practices in the context of AI. Discover insights and strategies to keep pace with rapid tech advancements.
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4 Types of Gen AI Risk and How to Mitigate Them
Understand the different types of risks associated with generative AI and provide strategies for mitigating these risks to ensure safe and responsible use of AI technologies.
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8 AI Security Issues Leaders Should Watch
Learn about key AI security issues leaders should monitor, including data poisoning, model theft, adversarial attacks, and unintended biases.
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Navigating the perils of artificial intelligence: a focused review on ChatGPT and responsible research and innovation
Explore how using ChatGPT and similar AI tech raises ethical challenges, demanding responsible research to manage risks and boost societal gains.
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In AI We Trust – Too Much?
Explore the complex relationship between human trust and technology, delving into the urgent need for blending human emotional intelligence into AI tools.