Responsible AI: Applying AI Principles with Google Cloud

Overview

This course, Responsible AI: Applying AI Principles with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Responsible AI: Applying AI Principles with Google Cloud. 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

In this module, you will learn about the impact of AI technology and Google's approach to responsible AI, and also be introduced to Google's AI Principles.

The Business Case for Responsible AI

In this module, you will learn about how to make a business case for responsible AI, based on the report 'The Business Case for Ethics by Design' by the Economist Intelligence Unit.

AI’s Technical Considerations and Ethical Concerns

In this module, you will learn about ethical dilemmas and how emerging technology such as generative AI can surface ethical concerns that need to be addressed.

Creating AI Principles

In this module, you will learn about how Google’s AI Principles were developed and explore the ethical aims of each of these Principles.

Operationalizing AI Principles: Setting Up and Running Reviews

In this module, you will learn about the practical application of responsible AI and how to operationalize AI principles by setting up and running reviews.

Operationalizing AI Principles: Issue Spotting and Lessons Learned

In this module, you will learn about the process of identifying possible ethical issues and identify issue spotting questions to think critically about the potential benefits and harms of a use case.