Coursera
SubscriptionGenAI Governance
4.5(753)8k studentsALL LEVELSEnglish
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The course treats generative AI governance as a combination of risk management, data governance and regulatory compliance. It starts from the difference between generative and analytical AI, then moves into how societal and ethical concerns shape the rules a business must follow.
Data lifecycle management, third-party risk, and frameworks for protecting sensitive data and enforcing user access controls get dedicated attention. These are the areas where GenAI projects often need the most care, since they touch procurement and security teams as well as product owners.
The EU AI Act, UNESCO guidelines and the NIST AI risk management framework appear as reference points for policy design. The course is listed for all levels, so it suits a general business audience as much as specialists.
Are you a professional, enthusiast, or organization leader looking to navigate the complex world of Generative AI governance? Do you aspire to manage the risks, compliance, and opportunities associated with this transformative technology? This course is your ultimate guide to mastering the principles and practices of Governance and Risk Management in Generative AI, equipping you with the skills to thrive in an AI-driven landscape.
This course dives deep into the critical frameworks and strategies needed to responsibly govern Generative AI applications. Whether you’re a technology manager, compliance officer, or a forward-thinking professional eager to stay ahead of the curve, this course provides the knowledge and tools to tackle the challenges of Generative AI with confidence.
In this course, you will:
Explore the foundational concepts of Generative AI, including its key differences from analytical AI.
Understand the societal impacts and ethical considerations of Generative AI.
Learn how to implement governance, risk, and compliance frameworks tailored for AI-driven environments.
Discover the core principles of data governance and effective data life cycle management.
Master the art of risk mitigation, including strategies for managing third-party risks.
Build robust frameworks to protect sensitive data and enforce user access controls.
Gain insights into global legal frameworks, including the EU AI Act, UNESCO guidelines, and NIST AI risk management.
Leverage toolkits and frameworks to implement responsible AI practices.
Why learn about Generative AI governance?
Generative AI is transforming industries, but its rapid growth brings unique challenges, such as ethical dilemmas, legal complexities, and data security concerns. This course bridges the gap, empowering you to lead responsibly in this evolving landscape. Whether you’re managing sensitive data, mitigating risks, or ensuring compliance, it offers practical guidance for success.
What makes this course unique?
This course combines real-world applications, and industry standards, From exploring data governance frameworks to understanding global AI regulations, each lecture is crafted for actionable learning. You’ll leave with the ability to navigate the nuances of Generative AI governance with clarity and expertise.
With engaging content, practical insights, and step-by-step guidance, this course is a comprehensive resource for anyone seeking to establish a solid foundation in Generative AI governance.
Join me on this exciting journey into the world of Generative AI governance. Enroll now and become a leader in shaping the future of responsible AI!
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Ethics and Governance in the Age of Generative AI
