As artificial intelligence becomes increasingly embedded in teaching, research, admissions, and student services, higher education institutions face a critical question: how can innovation be balanced with responsibility? This webinar explores an ethics-first approach to AI governance—one that places transparency, fairness, accountability, and human oversight at the center of institutional decision-making.
Participants will gain a clear understanding of the ethical risks associated with AI in higher education, including bias in algorithms, data privacy concerns, and the implications of automated decision-making on student outcomes. The session will also highlight practical governance frameworks, policy considerations, and real-world strategies that institutions can adopt to ensure AI systems align with academic values and public trust.
Designed for academic leaders, IT professionals, policymakers, and compliance teams, this webinar will provide actionable insights on building responsible AI practices while still fostering innovation. Attendees will leave with a structured perspective on how to develop, implement, and sustain ethical AI governance models within their institutions.
Presenters: Mo Hasan – AI SME
Intended Audience: Higher ED CIO’s and IT CIO’s
