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Introduction
Organisations that develop or deploy AI solutions should include AI ethics in their corporate governance frameworks. They need to setup internal AI governance processes and procedures that align with the corporate mission & values; they should understand the risks involved in AI system deployment and implement policies and procedures for risk management.
- Graduate Certificate in Artificial Intelligence and AI Ethics
- FlexiMasters
in Artificial Intelligence and AI Ethics
By the end of the course, learners are able to:
1. Understand the AI ethics governance framework for organisations;
2. Be able to describe the different approaches for governing AI, assigning responsibilities, and training workers, in order to raise and redress ethical concerns effectively and;
3. Know concepts of risks related to deploying AI/ML systems and processes for risk management.
This course focuses on:
- the methodology to set up internal governance structures, policies, and
procedures;
- stakeholders’ roles and responsibilities
- the risks of database/algorithm bias and processes to manage the risks and;
- sector-specific AI governance issues (e.g., finance, healthcare, etc).
For learner who wish to acquire more knowledge in applying ethical 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) | S$1,800.00 | S$588.60 | |
Enhanced Training Support for SMEs (ETSS) | S$228.60 | ||
SCs aged ≥ 40 years old | |||
• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
| COURSE TITLE | ACADEMIC UNIT |
| CET787 Foundations of Computation Thinking and Programming | 1 |
| CET788 AI 1:AI Foundation | 1 |
| CET789 AI 2: Reinforcement Learning | 1 |
| CET790 AI 3: Computational Game Theory | 1 |
| CET791 ML1: Supervised learning: Bayesian decision theory and classifiers | 1 |
| CET792 ML2: Supervised learning: Non-probabilistic classifiers | 1 |
| CET793 ML3: Unsupervised learning | 1 |
| CET794 AI Ethics 1: Foundations of AI Ethics | 1 |
| CET795 AI Ethics 2: AI Ethic Standardization | 1 |
| CET807 Application 2: Introduction to Computer Vision | 1 |
| CET797 Body of Knowledge (BoK) for AI Ethics and Governance | 1 |
| CET799 Business Liability and Ethics in AI Usage | 1 |
| CET800 AI Ethics 3: Ethics in Data Processing | 1 |
| CET801 Governance for AI Explainability | 1 |
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.
