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Introduction
The industrial adoption of Artificial Intelligence (AI) has boosted productivity and created new areas of growth, but it also leads to ethical concerns and legal disputes. For example, Apple Card was investigated by the New York Department of Financial Services for alleged discrimination related to credit limit decisions by AI algorithms. AI ethics and governance are becoming increasingly important.
- 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. know the basic concepts of Artificial Intelligence (including models and algorithms);
2. be able to describe the ethical issues of AI applications, and the guiding principles to deal with these issues and;
3. know the governance framework of AI ethics.
In this course, you will study the guiding principles of AI ethics and the governance framework for the ethical use of AI prescribed in the BoK. The course first describes the basics of AI. It then describes the guiding principles of AI solutions with decision-making process and the governance framework of AI Ethics. Students will be presented with case studies that illustrates ethical principles in complex real-world scenarios.
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$1,944
SSG Funding Support | Course fee payable after SSG funding, if eligible under various schemes | ||
Fee BEFORE funding & GST | Fee AFTER funding & 8% GST | ||
Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding) | S$1,800.00 | S$583.20 | |
Enhanced Training Support for SMEs (ETSS) | S$223.20 | ||
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 |
| CET798 AI Ethics Governance Framework for Organisations | 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.
