Teaching areas
Proposed teaching areas and outcomes, to be matched to the course and learners.
Assess an AI business case
Learners
MBA, business and executive education learners
Learning outcomes
- Define the decision and value an AI use case should support.
- Identify gaps in data, team skills and delivery ownership.
- Recommend whether to proceed, revise or stop a proposal.
Turn AI risks into design choices
Learners
Business and computing students; working professionals
Learning outcomes
- Map the people affected by an AI system and its likely failures.
- Assign responsibility for risk decisions and human review.
- Compare controls for transparency, security and human oversight.
Design and test an AI agent workflow
Learners
Computing students and professionals building AI applications
Learning outcomes
- Map the roles of models, tools and people in a workflow.
- Define allowed actions and points for human approval.
- Test a prototype against its task and likely failure cases.
Past workshops and educator sessions
Instruction and moderation for MBA students, and an AI introduction for educators.
Workshop and panel moderation
AI for Business Leaders Workshop Series
NUS MBA Tech Club · 2023
Instructor and moderator in a three-part series on AI business use cases, ChatGPT prompt engineering and AI in industry
Educator webinar
AI4E - Developing AI Literacy Among Educators: Building an AI Model
National Institute of Education · 2020
Introduced AI at an NIE webinar for over 100 educators and school teachers; the session included a practical AI model demonstration