In “Generative AI: Governance, Policy, and Emerging Regulation,” you’ll discuss governance considerations for generative artificial intelligence (AI) systems deployed in an organization and explore data management practices, transparency methods, risk and impact assessments, and management approaches that ensure generative AI is developed and deployed responsibly. The course also provides an overview of the current generative AI policy and regulatory landscapes within the United States, European Union, and G7 countries. By exploring governance issues and the current regulatory landscape regarding AI, you’ll gain a deeper understanding of how to integrate, manage, and monitor AI within your organization.
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Syllabus
Introduction to the Course
Strategic Alignment, Cost Analysis, and Stakeholder Mapping
Applying Responsible AI Principles to Generative AI Decisions
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Complete a tutorial on responsible AI principles for generative AI
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Gain a foundational understanding of responsible AI principles and how they apply specifically to generative AI systems.
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Responsible AI Principles
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Research responsible AI principles
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Find a tutorial on responsible AI principles for generative AI
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Complete the tutorial
Practice using a generative AI API to generate text
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Develop hands-on experience with generative AI systems by using an API to generate text.
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Text Generation
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Find a generative AI API
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Create an account with the API provider
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Use the API to generate text
Create a risk assessment for a generative AI system
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Build a risk assessment to help manage the risks associated with deploying a generative AI system in your organization.
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Risk Assessment
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Identify the potential risks associated with the generative AI system
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Assess the likelihood and impact of each risk
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Develop mitigation strategies for each risk
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Implement the mitigation strategies
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Monitor the risks and mitigation strategies
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Develop a presentation on a real-world application of generative AI
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Apply your knowledge of generative AI to a real-world scenario by creating a presentation on its applications.
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Generative AI Applications
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Choose a real-world application of generative AI
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Research the application
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Develop a presentation on the application
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Present the presentation to a peer or mentor
Complete a tutorial on responsible AI principles for generative AI
Show steps
Gain a foundational understanding of responsible AI principles and how they apply specifically to generative AI systems.
Browse courses on
Responsible AI Principles
Show steps
- Research responsible AI principles
- Find a tutorial on responsible AI principles for generative AI
- Complete the tutorial
Practice using a generative AI API to generate text
Show steps
Develop hands-on experience with generative AI systems by using an API to generate text.
Browse courses on
Text Generation
Show steps
- Find a generative AI API
- Create an account with the API provider
- Use the API to generate text
Create a risk assessment for a generative AI system
Show steps
Build a risk assessment to help manage the risks associated with deploying a generative AI system in your organization.
Browse courses on
Risk Assessment
Show steps
- Identify the potential risks associated with the generative AI system
- Assess the likelihood and impact of each risk
- Develop mitigation strategies for each risk
- Implement the mitigation strategies
- Monitor the risks and mitigation strategies
Develop a presentation on a real-world application of generative AI
Show steps
Apply your knowledge of generative AI to a real-world scenario by creating a presentation on its applications.
Browse courses on
Generative AI Applications
Show steps
- Choose a real-world application of generative AI
- Research the application
- Develop a presentation on the application
- Present the presentation to a peer or mentor
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