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GenAI for academic leaders

As an academic leader, you are called to steward institution-wide approaches to Generative AI (GenAI) that embed respect, responsibility and reciprocity into policy, infrastructure and support systems, rather than relying on prohibition or unchecked adoption.

Your role is to nurture relationships, resources and conditions that ensure GenAI practices remain relevant to UVic’s values, prioritize equity and privacy, and empower faculty, staff and students to engage critically and creatively with these evolving tools.

Dos

As an academic leader:
  • talk with instructors about GenAI use in teaching, assessment, and student learning
  • stay informed about trends and impacts of GenAI on academic integrity, equity, workload and student experience
  • invest in GenAI literacy, supports, and relationship-building so faculty, staff and students can navigate these tools critically and confidently
  • align GenAI practices with UVic’s values and the 5Rs through embedment in policy, governance, and resource decisions
  • empower critical and creative engagement with GenAI by creating conditions where people can experiment, reflect and share what they are learning across programs and communities

Principles applied

Respect

Support GenAI guidelines that foster respectful relationships across roles, uphold diverse perspectives and intellectual sovereignty through strong attribution practices and account for the environmental implications of institutional technology decisions.

Relationships

Strengthen relationships by encouraging communities of practice and cross-campus dialogue where instructors, students and staff can share GenAI experiences and co-create responsible approaches.

Relevancy

Ensure GenAI initiatives respond to local needs, disciplinary differences and equity concerns rather than simply following technological trends.

Responsibility

Stay informed about GenAI’s impacts, invest in literacy and supports and align all practices with your institution’s values and the 5Rs.

Reciprocity

Model reciprocity by listening to feedback from students, instructors and communities about GenAI and visibly adapting strategies and supports in response.