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Responsible AI: Applying AI Principles with Google Cloud by Google

Responsible AI: Applying AI Principles with Google Cloud by Google

1h 46mBeginner2025-12-17

Authors

Google Cloud

Google Cloud

Course details

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 is 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.

Learn about the impact of AI technologies and the principles that outline how Google approaches responsible AI. Then, review the business case for responsible AI through findings from an Economist Intelligence Unit report; explore key technical and ethical considerations; and learn how Google created its AI Principles (and what each principle aims to achieve). From there, the course moves into implementation, such as setting up and running responsible AI reviews and structured issue spotting. The course concludes with resources to support continued responsible AI adoption across your organization.

Concepts

Introduction

  • Course introduction
  • Google and responsible AI
  • An introduction to Google AI Principles

The Business Case for Responsible AI

  • The Economist Intelligence Unit report
  • The business case for responsible innovation

AI s Technical Considerations and Ethical Concerns

  • AI's technical considerations and ethical concerns
  • Concerns about artificial intelligence

Creating AI Principles

  • How Google AI Principles were developed
  • Ethical issue spotting
  • The ethical aims of Google AI Principles

Operationalizing AI Principles - Setting Up and Running Reviews

  • Google AI governance
  • The Google Cloud review process
  • Celebrity Recognition - Case study

Operationalizing AI Principles - Issue Spotting and Lessons Learned

  • Issue-spotting process
  • What we ve learned from operationalizing AI principles - Challenges
  • What we ve learned from operationalizing AI principles - Best practices

Continuing the Journey toward Responsible AI

  • Continuing the journey toward responsible AI

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