Introduction
This programme equips participants with the knowledge and practical skills to use Artificial Intelligence (AI) tools responsibly, safely, and effectively in workplace contexts. As AI systems evolve from content generation to more autonomous, action-oriented capabilities, the risks associated with their use—such as data breaches, incorrect decisions, and unintended actions—are becoming more significant. Organisations must therefore balance productivity gains with proper governance, risk management, and human oversight. Aligned with IMDA’s Model AI Governance Framework for Agentic AI, this programme provides a structured approach to: Assess AI-related risks in business use cases Apply safe usage practices and controls Implement human oversight and accountability Develop simple governance frameworks for teams and organisations Participants will engage in hands-on activities, case discussions, and practical exercises to translate responsible AI principles into real workplace applications.
Objectives Understand key concepts of AI and emerging agentic AI systems in workplace settings Identify common risks associated with AI use, including errors, bias, and data security issues Apply structured approaches to assess and manage AI-related risks Use AI tools safely and effectively while maintaining compliance and good practices Implement human oversight and accountability in AI-assisted workflows Develop basic AI governance practices for team or organisational use
Day 1
- Module 1: Introduction to AI & Generative AI
- Module 2: AI Risks & Failure Modes
- Module 3: Assessing AI Use Cases & Risk Levels
- Module 4: Human Oversight & Responsible Use
Day 2
- Module 5: Safe & Effective Use of AI Tools
- Module 6: Controls & Safeguards in AI Usage
- Module 7: Governance & Organisational Practices
- Module 8: Case Studies & Implementation Planning
- Assessment
This programme is suitable for NTU Alumni who are:
- Professionals and executives using or planning to use AI tools at work
- Managers and team leads overseeing AI-enabled workflows
- Business, HR, operations, and administrative staff
- CET learners transitioning into AI-enabled roles
- Non-technical users seeking practical and responsible AI adoption skills
Prerequisites:
No technical background required. However, prior exposure to AI tools or a basic understanding of AI concepts will be beneficial.
Zhang Jiehuang
Dr Zhang is a Lecturer at the College of Computing and Data Science (CCDS), Nanyang Technological University (NTU), Singapore. He held the prestigious Alibaba Talent Programme Scholarship from 2019-2023, during which time he completed his PhD in Ethical AI Methodologies under the supervision of Prof Yu Han, at CCDS, NTU.
Dr Zhang is an expert in Ethical AI, having published many scientific works in the field of Human-Computer Interaction and Fairness, Explainability and Privacy in AI design. Many of his works have received recognition. His paper on Fairness in AI received the best paper award at the International Journal of Crowd Science in 2023.
Before joining NTU, he was a data scientist at DBS Bank, where he built AI models to use activity data to predict technology incidents and outages and a Machine Learning pipeline to generate insights from customer data.
