Navigating Generative AI Risks for Leaders

This course is part of Navigating Generative AI for Leaders Specialization

Instructor: Jeff Maggioncalda, Coursera CEO

Access provided by ExxonMobil

5,241 already enrolled

1 module

Gain insight into a topic and learn the fundamentals.

70 reviews

Beginner level

No prior experience required

4 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

70 reviews

Beginner level

No prior experience required

4 hours to complete

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

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

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.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There is 1 module in this course

This course delves into 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 the CEO in understanding and addressing these risks. A significant part of this course 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.

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

11 videos Total 72 minutes

Welcome to the course 3 minutes
GenAI risks: What CEOs should know and do about them 9 minutes
Concerns about AI 12 minutes
DeepLearning.AI
Ethical considerations for GenAI 5 minutes
Creating Responsible AI principles and practices 8 minutes
Responsible AI 5 minutes
DeepLearning.AI
Introduction to Responsible AI 9 minutes
Google Cloud
Data security and privacy considerations for GenAI 5 minutes
Navigating the regulatory and legal landscape 5 minutes
AI Bill of Rights (Alondra Nelson, IAS) 10 minutes
Course wrap-up 2 minutes

9 readings Total 83 minutes

What's dividing the C-Suite on GenAI? 10 minutes
Responsible AI Statements from the Corporate World 5 minutes
State of Ethics and Trust in Technology (Deloitte) 8 minutes
Technology’s generational moment with generative AI: A CIO and CTO guide 10 minutes
Case study: Samsung and data security with GenAI 10 minutes
Chair’s Summary of the AI Safety Summit 2023, Bletchley Park 10 minutes
The legal issues presented by generative AI (MIT Sloan) 10 minutes
Five Takeaways From Bellwether AI Copyright Case 10 minutes
Navigating Generative AI for Leaders 10 minutes

2 assignments Total 20 minutes

Ethics and guiding principles 10 minutes
Legal and regulatory compliance 10 minutes

4 discussion prompts Total 40 minutes

Risks associated with GenAI 10 minutes
What ethical considerations are most important in your industry? 10 minutes
Data security and privacy 10 minutes
How CEO choices influence legal and regulatory risk 10 minutes

2 ungraded labs Total 22 minutes

CEO toolkit: Identify GenAI risks specific to your business 12 minutes
CEO toolkit: Develop your principles for Responsible AI 10 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Instructor ratings

(19 ratings)

Jeff Maggioncalda, Coursera CEO

17 Courses 91,737 learners

Offered by

Coursera

With content from

DeepLearning.AI

Google Cloud

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

5 stars
87.14%
4 stars
12.85%
3 stars
0%
2 stars
0%
1 star
0%

Showing 3 of 70

Reviewed on Jul 24, 2024

Great course balancing breadth and depth from a CEO's perspective.

Reviewed on Mar 22, 2024

Very good headstart into the complex and new issue of using AI across your organization and with practical direction for your own start of enabling your team or company with AI

View more reviews