AI governance involves the policies, regulations, and guidelines that oversee the development and use of AI technologies. In this course, we will discuss the essential concepts of AI governance, highlighting its role in ensuring responsible and ethical AI use while also addressing related challenges and best practices for effective governance frameworks.

By the end of this course, you will understand the principles of AI governance and their societal implications. You will learn to address the ethical, legal, and social issues related to AI technologies and develop strategies to promote transparency and mitigate risks. This course is designed for policymakers, industry professionals, and concerned citizens, equipping you with essential knowledge and tools to navigate AI governance.

Key Lesson Concepts:

• Understand the concept of AI governance and its importance
• Identify the challenges and risks associated with AI governance
• Learn best practices for creating effective governance frameworks
• Develop strategies for addressing ethical, legal, and social issues related to AI technologies
• Gain insights on promoting transparency and accountability in AI governance

We won't duplicate introductory material in this section to make the best use of your learning time and avoid repeating excellent online information. Instead, we include below a very well-crafted introduction provided by IBM, which is a great starting point. Please review that resource first. To further build upon that foundation and delve deeper into the specifics covered in this module, we suggest the following reading