Ementorhub

What you'll learn

Explain the business case for responsible AI.

Identify ethical considerations with AI using issue spotting best practices.

Describe how Google developed and put their AI Principles into practice and leverage their lessons learned.

Adopt a framework for how to operationalize responsible AI in your organization.

Skills you'll gain

Decision Making

Artificial Intelligence and Machine Learning (AI/ML)

Ethical Standards And Conduct

Google Cloud Platform

Business Ethics

Data Ethics

Accountability

Governance

Corporate Strategy

Compliance Training

There are 7 modules in this course

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.

The Business Case for Responsible AI

AI’s Technical Considerations and Ethical Concerns

Creating AI Principles

Operationalizing AI Principles: Setting Up and Running Reviews

Operationalizing AI Principles: Issue Spotting and Lessons Learned

Continuing the Journey Towards Responsible AI