| June 12, 2023 |
- Overview of generative AI and an understanding of the current state
- Clarify the role and purpose of the committee
- Overview of the current technology, future trends, and key risks and issues
- Ethical considerations, privacy and security concerns, and societal impact
- Opportunities, risks, and equity issues across teaching, research and administrative operations.
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| August 24, 2023 |
- Terms of Reference were reviewed to ensure alignment and commitment towards achieving the committee’s collective objectives
- Proposed UBC statement on Generative AI, and a set of general guidelines outlining the principles and boundaries for the use of generative AI
- Overlaps or gaps in the current governance framework.
- Subcommittees under Generative AI Steering Committee:
- Teaching & Learning (under development)
- Conversational Tools/Chatbot Subcommittee
- Potential additional sub-committees
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| September 18, 2023 |
- Discussion on whether UBC needs its own Large Language Model (LLM)
- Overview of Teaching & Learning subcommittee Terms of Reference and Membership
- Overview of proposed Gen AI event: Academic Salons
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| November 27, 2023 |
- The Generative AI Guidelines have been drafted, with the recent decision to pivot towards Principles for mitigating associated risks rather than Guidelines. Indigenous themes have been addressed in relation to the Principles, and consultations were conducted with the Equity and Inclusion Office as well as the Indigenous Strategic Plan Implementation Committee.
- Christina Hendricks, Vice-Provost and Associate Vice-President, Teaching and Learning pro tem has been added as a co-chair to the Gen AI committee.
- The Teaching & Learning subcommittee draft Terms of Reference was updated to include staff and student co-chairs. Discussions were held around increasing committee awareness.
- The Conversational Tools subcommittee discussed guidelines and chatbot deployment.
- The Large Language Model (LLM) subcommittee will be exploring needs and use-cases within UBC, and identified considerations, risks and mitigations around data privacy, intellectual property, and cybersecurity.
- An overview of the Enterprise Data Governance Framework was shared and identified areas within the framework that need to be adapted including data quality, the Data Access Framework, the University Data Model, data literacy, and ethics.
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