As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you. In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
Overview
As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you. In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
Syllabus
- Introduction 14mins
- Introduction 14mins
- The Business Case for Responsible AI 14mins
- The Business Case for Responsible AI 14mins
- AI’s Technical Considerations and Ethical Concerns 15mins
- AI’s Technical Considerations and Ethical Concerns 15mins
- Creating AI Principles 22mins
- Creating AI Principles 22mins
- Operationalizing AI Principles: Setting Up and Running Reviews 21mins
- Operationalizing AI Principles: Setting Up and Running Reviews 21mins
- Operationalizing AI Principles: Issue Spotting and Lessons Learned 17mins
- Operationalizing AI Principles: Issue Spotting and Lessons Learned 17mins
- Continuing the Journey Towards Responsible AI 2mins
- Continuing the Journey Towards Responsible AI 2mins
Taught by
Google Cloud
