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.
Responsible AI for Digital Leaders with Google Cloud
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
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.
Details to know
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Recently updated!
July 2024
Assessments
3 assignments
Taught in English
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There are 4 modules in this course
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.
What's included
1 video1 assignment
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.
What's included
4 videos1 assignment
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.
What's included
3 videos1 assignment
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.
What's included
1 reading
Instructor
Offered by
Recommended if you're interested in Cloud Computing
Google Cloud
Google Cloud
DeepLearning.AI
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.