ARTIFICIAL INTELLIGENCE ESSENTIALS

Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior. This syllabus covers the potential benefits; types of Artificial Intelligence; the basic process of Machine Learning (ML); the challenges and risks associated with an AI project, and the future of AI and Humans in work.

COURSE OBJECTIVES:

• Recall the general definition of human and Artificial Intelligence (AI).
• Describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).
• Understand that ML is a significant contribution to the growth of Artificial Intelligence.
• Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
• Describe the challenges of Artificial Intelligence, and give general examples of the limitations of AI compared to human systems, general ethical challenges AI raises.
• Demonstrate understanding of the risks of Artificial Intelligence, identify a typical funding source for AI projects and list opportunities for AI.
• Demonstrate an understanding that Artificial Intelligence (in particular, Machine Learning) will drive humans and machines to work together;
• List future directions of humans and machines working together.