CET801 Governance for AI Explainability

Course Provider

College of Computing and Data Science (CCDS)



Academic Unit



AI systems are black boxes whose behaviors are difficult to explain. However, to ensure auditability and build trust, we should establish governance frameworks that provide explanations for AI decisions. In this course, we will discuss how to develop such policies for AI governance and build trust in stakeholder relations.

This course is part of:

- Graduate Certificate in Artificial Intelligence and AI Ethics
- FlexiMasters  in Artificial Intelligence and AI Ethics

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Course Availability

  • Date(s): 14 to 24 Sep 2024

    Time: 14 to 21 Sep 2024 | Live session: 9:30 am-1130am (2x Sat), 7.30pm - 9pm (Wed), Self-paced: Sun to Fri

    Venue: Virtual (Online)

    Registration Closing Date: 24 Aug 2024

By the end of the course, learners are able to:

1. Know about the development of explainability policies;

2. Be able to identify core stakeholders and their expectations, and the setup of feedback channels, and communication mechanisms and;

2. Know the best practices for complex real-world situations.

This course covers the development of explainability policies, the identification of stakeholders, the management of stakeholder relations with regards to AI explainability, the setup of feedback channels, and communication mechanisms. It will present a number of case studies as illustrations of the core principles to integrate different aspects into complete examples.


For learner who wish to acquire more knowledge in applying AI practices in organizations and, to understand and help societies to solve problems brought about by the impact of AI.

Standard Course Fee: S$1,962

SSG Funding Support


Course fee payable after SSG funding, if eligible under various schemes


Fee BEFORE funding & GST

Fee AFTER funding & 9% GST

Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)



Enhanced Training Support for SMEs (ETSS)


SCs aged ≥ 40 years old
SkillsFuture Mid-career Enhanced Subsidy (MCES)
(Up to 90% funding)

• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.

Read more about funding

CET787 Foundations of Computation Thinking and Programming 1
CET788 AI 1:AI Foundation1
CET789 AI 2: Reinforcement Learning1
CET790 AI 3: Computational Game Theory1
CET791 ML1: Supervised learning: Bayesian decision theory and classifiers1
CET792 ML2: Supervised learning: Non-probabilistic classifiers1
CET793 ML3: Unsupervised learning1
CET794 AI Ethics 1: Foundations of AI Ethics1
CET795 AI Ethics 2: AI Ethic Standardization1
CET807 Application 2: Introduction to Computer Vision1
CET797 Body of Knowledge (BoK) for AI Ethics and Governance1
CET798 AI Ethics Governance Framework for Organisations1
CET799 Business Liability and Ethics in AI Usage1
CET800 AI Ethics 3: Ethics in Data Processing1


Listed courses are:

  • Credit-bearing and stackable to Graduate Certificate in Artificial Intelligence and AI Ethics and FlexiMasters in Artificial Intelligence.
  • SSG funded and SkillsFuture Credit approved.