Coursera
Navigating Generative AI Risks for Leaders
Coursera

Navigating Generative AI Risks for Leaders

Sponsored by Coursera Learning Team

Gain insight into a topic and learn the fundamentals.
4.9

(24 reviews)

Beginner level
No prior experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.9

(24 reviews)

Beginner level
No prior experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

What you'll learn

  • The meaning of Responsible AI

  • The risks and concerns associated with GenAI

  • Perspectives on how to navigate these risks

Details to know

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Assessments

2 assignments

Taught in English

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This course is part of the Navigating Generative AI for Leaders Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There is 1 module in this course

This short course discusses the various risks and concerns associated with Generative AI, including business model risks, inaccuracies in AI-generated content, data security, and privacy concerns. It emphasizes the importance of understanding and addressing these risks. A significant part of this module is dedicated to exploring the ethical considerations for using GenAI. It highlights the importance of developing responsible AI principles and practices, guiding CEOs in creating ethical principles for Responsible AI tailored specifically to their own companies. The course also focuses on the critical issues of data security and privacy in the use of GenAI. It concludes by providing an overview of the legal and regulatory landscape for GenAI, offering guidance on how to navigate this landscape effectively and ensure legal and regulatory compliance in the use of GenAI.

What's included

11 videos9 readings2 assignments4 discussion prompts2 ungraded labs

Instructor

Instructor ratings
5.0 (6 ratings)
Jeff Maggioncalda, Coursera CEO
18 Courses29,383 learners

Offered by

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Learner reviews

4.9

24 reviews

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TJ
5

Reviewed on Jul 24, 2024

NH
5

Reviewed on Mar 19, 2024

FG
5

Reviewed on Mar 22, 2024

Recommended if you're interested in Data Science

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