The requirements for developing AI systems have some similarities with other kinds of development projects. But, there are also a number of things unique to this type of development. In this course, we'll cover how AI 'learns," the AI Development Lifecycle, and the physical requirements for building AI system.

AI is an emerging technology, so it's important to examine how it might impact individuals and society, and to discuss the principles under which we can maximize the benefits of it while minimizing harm. In this course, we'll take a look at the various harms AI could cause, and just as important, we'll examine the characteristics of responsibly implemented AI systems.

The legal landscape around AI is a bit "Wild West" at the moment. The technology has outpaced legislation, and ethics discussions, but many countries are working on catching up. We'll talk about how existing laws apply to AI, and about emerging legislation across the globe.

This module evaluates different AI governance models, explains risk management concepts as applied to AI, identifies planning and scoping activities, discusses the role of testing in AI governance, and details design processes for continual evaluation and improvement of an AI system.

In this module, we'll identify security issues unique to AI and privacy issues related to AI. We'll finish out the course and path with a final video wrap up.