This course equips learners with the essential knowledge and practical tools to develop and implement artificial intelligence (AI) responsibly. Through an exploration of ethical considerations, best practices, and governance procedures, participants will gain an understanding of how to navigate the complex landscape of AI while upholding ethical standards and minimizing potential risks.
Overview
Syllabus
- What is Responsible AI?
- This module introduces the concept of responsible AI and covers why there is a need for a robust responsible AI review process, as well as Google's 7 AI principles.
- Best Practices and Guidelines for Responsible AI
- This module covers ethical issues that can arise with generative AI solutions and how to address them. It also explains the aim of each of Google's AI principles and key takeaways from Google's process of operationalizing AI principles.
- Responsible AI Governance and Review
- This module describes common misconceptions about responsible AI governance, how to ask good questions to spot potential ethical issues with an AI solution, and the review bodies within Google's AI governance process.
- Next Steps
- This module describes common misconceptions about responsible AI governance, how to ask good questions to spot potential ethical issues with an AI solution, and the review bodies within Google's AI governance process.
Taught by
Google Cloud Training
