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Introduction
Despite the intentions of their designers, the behaviors of AI systems may not always comply with existing laws, regulations, and ethical considerations. For example, they may pick up implicit bias from data or make decisions without complete understanding of the consequences. Owners and core users of AI systems must be aware of these issues and the potential liability in order to protect themselves, their businesses, and their customers.
- Graduate Certificate in Artificial Intelligence and AI Ethics
- FlexiMasters
in Artificial Intelligence and AI Ethics
Course Availability
-
Date(s): 31 Aug 2024 to 07 Sep 2024
Time: 31 Aug to 07 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: 10 Aug 2024
By the end of the course, learners are able to:
1. Be able to describe the potential ethical issues resulting from the application of AI systems and;
2. Know the responsibilities and the consequences of the ethical issues.
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$588.20 | |
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 |
| CET798 AI Ethics Governance Framework for Organisations | 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.
