FMHS Teaching and Learning Community sessions
The Faculty of Medical and Health Sciences’ Teaching and Learning Community welcomes all staff to their TLC sharing practice sessions.
A message from the organising committee
Your August 2025 leaders are Dr Amanda Charlton and Dr Komal Srinivasa. We are clinician educators at Auckland Hospital and Honorary Academics at FMHS. This month, we have two speakers to present the Gen AI/LLM guidelines from the University of Auckland and Te Whatu Ora Health NZ perspectives. In preparation for these sessions, we invite you to review the:
And ask our speakers questions for clarification via our Google Form. We will provide your questions to our speakers prior to their session.
Wednesday 6 August, 12–1pm
AI and LLM use for teaching and learning, UoA perspective
Venue: 507-G135 (map) or via Zoom
Dr Rosie Dobson
Associate Professor Epidemiology and Biostatistics, University of Auckland
Rosie is a registered psychologist and Associate Professor based at the School of Population Health, University of Auckland, and at Te Whatu Ora. She is the AI Health Research Lead for the Faculty of Medical and Health Sciences, is a member of the National AI and Algorithm Expert Advisory Group for Te Whatu Ora and leads research into consumer perspectives of AI in health.
Wednesday 20th August 12–1pm
AI and LLM use in clinical teaching and learning, the Health NZ Te Whatu Ora perspective
Venue: 507-LG004 [downstairs] (map) or via Zoom
Dr Cheng Kai (CK) Jin
Director of the AI laboratory, Te Whatu Ora Health NZ and Honorary Lecturer in Epidemiology and Biostatistics, University of Auckland
Cheng is a clinician by training who has taken an atypical path in medicine, wishing to combine data science with healthcare. He has been working at this intersect for over the last 5 years and is responsible for safely introducing AI technologies at Health NZ. His unique perspective enables him to navigate the complex challenges of healthcare AI adoption and ensuring patient safety. He is a member of the National AI and Algorithm Expert Advisory Group that developed Te Whatu Ora guidance for the use of LLMs by TWO HNZ employees.