概要

Artificial Intelligence (AI) has become a symbol of both hope and fear, with some anticipating job losses and hostile AI, while others envision a world where machines take over repetitive tasks and address significant challenges like illness and crime.

Part of the award-winning Chartered Institute for Securities and Investment (CISI) Certificate in Ethical Artificial Intelligence programme, this course aims to enhance learners’ understanding of ethical issues in the use of AI. It offers a comprehensive overview of AI, including its history, development trends, key terminology, machine learning, risks, ethics, and data protection. It aims to equip learners with foundational knowledge and critical insights into AI's impact on society and various industries.

You can also enrol in the following two courses:
Ethical AI and Professional Codes of Conduct (CISI)
Risk Management in AI (CISI)

If you want to maximise your learning and save more, enrol in all three courses with the 3-in-1 package to enjoy a 20% discount and gain a comprehensive understanding of AI in financial services.

宗旨

By the end of this eCourse, you will be able to: 
- Identify and differentiate between narrow AI and general AI, machine learning techniques and deep learning principles
- Recognise key development trends in AI and its impact on various industries
- Define common AI terms and understand the ethical issues and potential risks associated with AI

內容

Section 1 - Background
Section 2 - Development Trends
Section 3 - Jargon and Terminology
Section 4 - Machine Learning
Section 5 - Risk, Ethics and Data Protection

Final Assessment
- There are 20 questions in the final assessment.
- Only two attempts is allowed to pass the assessment (75% pass mark).
- If both attempts are unsuccessful, learners will need to repurchase the course to retake the assessment.
- Once an assessment is passed, retakes will not be available.

對象

This course is ideal for wealth and investment managers, as well as professionals in financial services functions like risk, compliance, asset management, banking, insurance, operations, and financial planning.