Balancing AI and Human Interaction
Explore UBC’s generative AI principles and guidelines for teaching and learning
Generative AI
Generative AI (GenAI) is a transformative technology in the artificial intelligence landscape. At its core, it refers to algorithms and models that can generate new data, be it text, images, music, or even complex designs. This ability to produce unique content has promising applications across industries, including higher education. Generative AI offers us an opportunity to revolutionize both our operational processes and academic endeavours. By harnessing its potential, we can not only achieve greater efficiencies but also provide richer, more tailored educational experiences for our students and faculty. The integration of this technology promises a future where universities can achieve more, while continually elevating their academic offerings.
While offering much promise, responsible use of any technology must remain at the forefront. This site offers guidance and resources on how to ensure the use of these tools meets UBC’s guidelines and policies for secure, ethical and appropriate use.
What is Generative AI?
Generative AI is a type of artificial intelligence (AI) that is able to create new content, such as text, images, music, or entire datasets, based on patterns and information it has learned from existing data. While traditional AI systems are mainly used to analyze existing data and make predictions, generative AI takes this one step further by creating new data similar to the data it accesses. When an AI technology is creating something by itself, this is called “generative AI” or “GenAI”.
Using Generative AI at UBC
UBC Generative AI Principles are now available
Refer to our principles to provide direction for the UBC community on using generative
AI responsibly for their administrative work or in an academic application.
News and Events
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OER and GenAI – October 23, 2024
Join us for an interactive online workshop where we will explore the challenges, contradictions, and opportunities at the intersection of Artificial Intelligence (AI) and Open Educational Resources (OER).
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Generative AI: Its Implications and Opportunities, for Policy, Pedagogy and Practice within the Mathematical Sciences
Generative Artificial Intelligence (AI) describes algorithms, including ChatGPT, Google’s Gemini, and Microsoft’s Copilot, that can be used to create new content, including text, computer code, images, and audio. Whilst the technologies are themselves not new, recent advances in the field have led to a new era where the way…
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GenAI Maker Session: Developing Quizzes and Problem Sets with Generative AI – October 8, 2024
Explore practical strategies for creating engaging quizzes and problem sets using Generative AI. This online session will provide best practices for developing these materials, followed by hands-on time to craft your own in a supportive, collaborative environment.
Resources
Training
Develop your skills in generative AI.
Tools
Familiarize yourself with the most prominent tools in generative AI.
Prompt Literacy
Learn how to communicate and interact with AI models.