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Generative AI

Governance, Policy, and Emerging Regulation

Merve Hickok

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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What's inside

Syllabus

Introduction to the Course
Strategic Alignment, Cost Analysis, and Stakeholder Mapping
Applying Responsible AI Principles to Generative AI Decisions
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Examines governance considerations and management approaches for generative AI systems in organizations, providing foundational knowledge on responsible AI development and deployment
Offers an overview of current generative AI policies and regulatory landscapes in different jurisdictions, ensuring learners are up-to-date on legal considerations and industry best practices
Provides guidance on data management practices, transparency methods, risk and impact assessments for generative AI systems, equipping learners with practical knowledge for responsible implementation

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Reviews summary

Generative ai policy & governance essentials

According to learners, this course provides a timely and highly relevant positive exploration of governance considerations for generative AI and a comprehensive overview positive of the current policy and regulatory landscapes in the US, EU, and G7. Many students find it offers actionable insights positive for integrating and managing AI responsibly within organizations. While it is praised for its clear and well-structured content, some learners suggest that those seeking deep technical specifics warning beyond policy and governance may find it more of a high-level overview.
Excellent overview, but some may seek deeper technical detail.
"As someone with a technical background, I found it a great introduction but wished for more in-depth technical specifics."
"It's perfect for policy makers and managers, perhaps less so for AI developers seeking implementation specifics."
"I felt it provided a solid high-level understanding of the regulatory landscape without getting bogged down in minutiae, which suited me."
Well-organized with clear explanations of complex topics.
"The modules were well-structured, making complex legal and ethical topics easy to digest."
"I found the explanations of governance considerations very clear and concise, even for someone new to the area."
"The course provides a very accessible introduction to a challenging subject matter, which I appreciated."
Offers actionable insights for responsible AI deployment.
"It wasn't just theory; I learned concrete ways to manage AI risks in my company, which is invaluable."
"The focus on integrating and monitoring AI within an organization was extremely useful for my professional role."
"I found the discussions on risk and impact assessments directly applicable to my daily tasks."
Provides a broad, detailed look at global AI policies.
"The comparative analysis of US, EU, and G7 regulations was a major highlight for me, very insightful."
"It clearly laid out the complex international regulatory landscape for generative AI."
"I now have a much clearer picture of where global AI policy is headed after taking this course."
Addresses critical, rapidly evolving AI governance needs.
"The content on emerging regulation is incredibly current and vital for my work in compliance."
"This course truly addresses a critical gap in understanding the legal and ethical future of AI."
"I appreciate how the course kept up with the fast pace of AI policy changes, making it very applicable."

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 Generative AI: Governance, Policy, and Emerging Regulation with these activities:
Complete a tutorial on responsible AI principles for generative AI
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
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
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
One other activity
Expand to see all activities and additional details
Show all four activities
Develop a presentation on a real-world application of generative AI
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

Career center

Learners who complete Generative AI: Governance, Policy, and Emerging Regulation will develop knowledge and skills that may be useful to these careers:

Reading list

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Course image
Effort
3 hours
Level
Intermediate
Via
Coursera
Institution
University of Michigan
Instructor
Merve Hickok
Language
English
Transcripts
Español Français Português Deutsch 中文 العربية Pусский Bahasa Indonesia
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Examines governance considerations and management approaches for generative AI systems in organizations, providing foundational knowledge on responsible AI development and deployment
Offers an overview of current generative AI policies and regulatory landscapes in different jurisdictions, ensuring learners are up-to-date on legal considerations and industry best practices
Provides guidance on data management practices, transparency methods, risk and impact assessments for generative AI systems, equipping learners with practical knowledge for responsible implementation
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