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In this course, you will learn about responsible artificial intelligence (AI) practices.

In the first section of this course, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempts to overcome, and explore the core dimensions of responsible AI.

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In this course, you will learn about responsible artificial intelligence (AI) practices.

In the first section of this course, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempts to overcome, and explore the core dimensions of responsible AI.

Then in the next section of the course, you will dive into some topics for developing responsible AI systems. In this section of the course, you will learn about some of the services and tools that AWS offers to help you with responsible AI. You will also learn about responsible AI considerations for selecting a model and preparing data for your AI systems.

Finally, in the last section of the course, you learn what it means for a model to be transparent and explainable. You will also learn about tradeoffs to consider between safety and transparency for an AI model and the principles of human-centered design for explainable AI.

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What's inside

Syllabus

Responsible AI Practices

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides an overview of responsible AI, covering its definition, challenges, and core dimensions
Teaches about responsible AI considerations for selecting a model and preparing data for AI systems
Explores transparency and explainability in AI models, discussing tradeoffs and human-centered design principles

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Responsible Artificial Intelligence Practices with these activities:
Review basic AI concepts
Review basic AI concepts to strengthen your foundation for responsible AI practices.
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  • Read introductory articles or online resources on AI concepts.
  • Watch videos or tutorials on basic AI algorithms.
  • Complete practice exercises or quizzes to test your understanding.
Develop an infographic or presentation on responsible AI
Create a visual or interactive resource to share your understanding and insights on responsible AI.
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  • Gather information and research best practices for responsible AI.
  • Design and create an infographic or presentation that effectively communicates your key messages.
  • Share your infographic or presentation with others to educate and raise awareness.
Explore AWS AI services and tools
Familiarize yourself with AWS AI services and tools to gain practical insights for developing responsible AI systems.
Browse courses on AWS Machine Learning
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  • Visit the AWS AI website and explore the available services.
  • Follow tutorials or documentation on using specific AWS AI services.
  • Experiment with the AWS AI services through hands-on practice.
Two other activities
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Discuss responsible AI best practices
Engage in discussions with peers to exchange perspectives on best practices for responsible AI development.
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  • Identify a peer group or online forum focused on responsible AI.
  • Participate in discussions, share insights, and ask questions.
  • Collaborate on projects or initiatives related to responsible AI.
Develop a responsible AI checklist
Create a practical tool to guide your responsible AI development processes.
Show steps
  • Research best practices and standards for responsible AI.
  • Identify key considerations and potential risks associated with your AI systems.
  • Develop a comprehensive checklist that addresses these considerations and provides guidance for mitigation.

Career center

Learners who complete Responsible Artificial Intelligence Practices will develop knowledge and skills that may be useful to these careers:

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