UBC emphasizes the ethical and responsible use of generative AI tools in both administrative and academic contexts highlighting the use of generative AI to assist in tasks rather than replace human creativity and judgment. UBC encourages understanding content ownership and ensuring proper attribution while also highlighting the need to secure data, manage privacy risks and biases associated with generative AI tools. Furthermore, UBC affirms the need to consider the broader social and environmental impacts of generative AI.
In teaching and learning specifically, UBC adopts a balanced approach, recognizing the potential of AI to enrich education while also addressing risks such as academic misconduct, copyright issues, and accessibility concerns. The guidelines stress the importance of developing literacy about AI tools among students, faculty, and staff, and clearly communicating the permitted and prohibited uses of AI in academic work. This approach aims to prepare students for future endeavors while maintaining academic integrity and ethical standards. Please visit the UBC guidelines for generative AI in teaching and learning for more details.
- Developing Literacy about GenAI: Developing fundamental generative AI literacy for students, faculty, and staff to support responsible and ethical use.
- Academic Integrity: Instructors clearly communicating to their students on the permitted and prohibited uses of generative AI in academic work.
- Privacy and Data Security: Ensuring that the use of generative AI tools complies with UBC’s privacy and data security standards.
- Equity and Inclusion: Promoting equity and inclusion, while avoiding the perpetuation of biases and inequities.
- Intellectual Property: Understanding and respecting intellectual property rights when using generative AI.
- Transparency and Accountability: Maintaining accountability and transparency in how generative AI tools are used.
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