Master governance frameworks and regulatory considerations for implementing generative AI in organizations, with focus on responsible development.
Master governance frameworks and regulatory considerations for implementing generative AI in organizations, with focus on responsible development.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Responsible Generative AI Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.9
(11 ratings)
Instructors:
English
فارسی
What you'll learn
Understand emerging governance frameworks for generative AI
Identify key stakeholders and strategic considerations for AI projects
Apply responsible AI principles to generative AI decisions
Assess risks and impacts of AI implementation
Navigate regulatory requirements across different jurisdictions
Skills you'll gain
This course includes:
1.12 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by

Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.





There are 3 modules in this course
This course explores governance considerations for generative AI systems within organizations. Students learn about data management practices, transparency methods, risk assessments, and responsible AI development approaches. The curriculum covers current generative AI policy and regulatory landscapes across the United States, European Union, and G7 countries, helping professionals understand how to effectively integrate, manage, and monitor AI systems while ensuring compliance with emerging regulations.
Introduction to the Course
Module 1 · 1 Hours to complete
Strategic Alignment, Cost Analysis, and Stakeholder Mapping
Module 2 · 47 Minutes to complete
Applying Responsible AI Principles to Generative AI Decisions
Module 3 · 55 Minutes to complete
Fee Structure
Instructor
Data Science Ethics Lecturer
Merve Hickok is a data science ethics lecturer at the University of Michigan, School of Information, and the Responsible Data and AI Advisor at Michigan Institute for Data Science. In addition to her teaching role, Merve is the founder of AIethicist.org. She is a globally renowned expert on AI policy, ethics and governance. Her contributions and perspective have featured in the Guardian, CNN, Forbes, Bloomberg, Wired, Scientific American, Politico, Protocol, Vox, The Economist and S&P. Her work focuses on the impact of AI systems on individuals, society, with a particular focus on fundamental rights, democratic values, and social justice. Merve is also the President and Research Director at Center for AI and Digital Policy, working with global AI policymakers and advocates. The Center educates AI policy practitioners and advocates across 80+ countries, advises international organizations (such as European Commission, UNESCO, the Council of Europe, OECD). Merve has provided testimony to the US Congress, State of California, New York City Department of Consumer and Worker Protection, and Detroit City Council on AI policy and governance. Merve also works with several non-profit organizations globally to advance both the academic and professional research in this field for underrepresented groups. She has been recognized by a number of organizations – most recently as one of the 100 Brilliant Women in AI Ethics™ – 2021, and Lifetime Achievement Award - Responsible AI Leader of the Year – 2023 (Women in AI). Previously, Merve held various senior roles in Fortune 100 companies for more than 15 years.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.