Responsible AI: Applying AI Principles with Google Cloud. This course will help you gain a deep understanding of responsible AI and how to implement it in your organization. With the growing use of AI and machine learning in businesses, it’s more important than ever to develop this technology responsibly. In this course, we’ll show you how Google Cloud puts the principles of responsible AI into practice and share our best practices and experiences. This course will give you a strong framework for building your own approach to responsible AI.
What you will learn:
- The Business Importance of Responsible AI: This section explores the important reasons why organizations are moving towards responsible AI.
- Technical Considerations and Ethical Concerns in Artificial Intelligence: This section examines the technical challenges and ethical issues associated with the development of artificial intelligence.
- Creating AI Principles: In this section, you will learn how to define your own principles for AI in your organization.
- Operationalizing AI Principles: Setting Up and Running Reviews: This section shows you how to incorporate AI principles into your organization’s processes and conduct the necessary reviews.
- Operationalizing AI Principles: Identifying Problems and Lessons Learned: In this section, you will learn how to identify potential problems and use your experiences for continuous improvement.
- Continuing the Path to Responsible AI: This section provides an overview of the future of responsible AI and the importance of continuing efforts in this area.
This course is suitable for people who:
- Interested in a deeper understanding of responsible AI.
- They work in organizations that use or plan to use artificial intelligence.
- They are responsible for developing or implementing artificial intelligence systems.
- They are looking for best practices and experiences for responsible AI development.
