CET800 AI Ethics 3: Ethics in Data Processing

Course Provider

School of Computer Science and Engineering (SCSE)

Certification

FlexiMasters

Academic Unit

1

Introduction

Ethics in data science and machine learning is an important topic. For example, disinformation may spread on social media as a result of recommendation systems. As another example, unjust bias is an increasingly discussed issue in machine learning and has even spawned its own field as the primary focus of Fairness, Accountability, and Transparency (FAccT). In this course, we will discuss how proper data management and processing can help in addressing ethical concerns in AI systems.

This course is part of:

- 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 data science and data analytics algorithms and;

2. Be able to describe the ethics issues faced in the usage of data science and machine learning.

This course focuses on: 

- data management systems
- exploratory and statistical data analysis
- data and information visualization
- the presentation and communication of analysis results. It will be centered around case studies drawing extensively from applications and also cover fairness algorithms.

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$1,926

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

Cat-A SSG Funded Courses

S$577.80

Enhanced Training Support for SMEs (ETSS) 

S$217.80

Mid-Career Enhanced Subsidy (MCES)

S$217.80
  • All fees stated are inclusive of 7% GST.
  • NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click  here for more information. 
    Read more about funding

    COURSE TITLEACADEMIC UNIT
    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
    CET796 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
    CET801 Governance for AI Explainability1

     

    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.