EBCS-AIE: EXIN BCS Artificial Intelligence Essentials

Module 1: Artificial and Human Intelligence: An Introduction and History
1.1 recall the general definition of human and Artificial Intelligence (AI).

1.2 describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).

1.3 understand that ML is a significant contribution to the growth of Artificial Intelligence.

1.4 describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
Module 2: Examples of AI: Benefits, Challenges and Risks
2.1 The benefits of Artificial Intelligence, and

• list advantages of machine and human and machine systems;

2.2 The challenges of Artificial Intelligence, and give:

• General examples of the limitations of AI compared to human systems,
• General ethical challenges AI raises.

2.3 demonstrate understanding of the risks of Artificial Intelligence, and
The risks of AI;

2.4 Funding source for AI projects;

2.5 List opportunities for AI.
Module 3: An introduction to Machine Learning
3.1 Understanding of the AI intelligent agent description, and:

• The differences with Machine Learning (ML), and:
• Four rational agent dependencies,
• Agents in terms of performance measure, environment, actuators
  and sensors,
• Four types of agent: reflex, model-based reflex, goal-based and
  utility-based.

3.2 Machine Learning in the following contexts:

• Business,
• Social (media, entertainment),
• Science.

3.3AI capability is useful in ML and AI agents’ functionality;

3.4 The following forms of ML:

• supervised,
• unsupervised,
• reinforcement.

3.5 The basic schematic of a neutral network
Module 4: The Future of Artificial Intelligence – Human and Machine Together
4.1 Artificial Intelligence (in particular Machine Learning) will drive humans and machines to work together;

4.2Fture directions of humans and machines working together.