Coursera

Navigating Generative AI Risks for Leaders (Coursera)

Offered by Coursera Instructor Network,
Navigating Generative AI Risks for Leaders (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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 course is part of the Navigating Generative AI for Leaders Specialization.

What you'll learn

  • The meaning of Responsible AI
  • The risks and concerns associated with GenAI
  • Perspectives on how to navigate these risks

Syllabus

Ethical, data, and legal considerations for 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.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Frontiers in Dentistry (Coursera) Coursera
University of Pennsylvania

Frontiers in Dentistry (Coursera)

Health & Society

In this course, Frontiers in Dentistry, you will be able to explore some of the latest advances in the field of dental medicine. The innovations in therapeutic techniques as well as our understanding of the biomedical sciences have been made possible by our research enterprise which integrates the latest emerging technology along with interdisciplinary collaborations.

Sep 28th 2026
5-12 Weeks
Artificial Intelligence Dentistry Biomaterials
Details
Responsible AI in the Generative AI Era (Coursera) Coursera
Fractal Analytics

Responsible AI in the Generative AI Era (Coursera)

CS: Software Engineering

This one-week microlearning course provides an introduction to the Principles of Responsible AI and how those principles align with the Generative AI or GenAI space. It also informs the learners about the various challenges that Generative AI brings. You will explore the fundamental principles of responsible AI, and understand the need for developing Generative AI tools responsibly.

Sep 28th 2026
1 Week
Artificial Intelligence Critical Thinking Problem Solving
Details
Business Implications of AI: Full course (Coursera) Coursera
EIT Digital

Business Implications of AI: Full course (Coursera)

Business

In this course you will learn what Artificial Intelligence is, from a leaders point of view. How shall we, as leaders, understand it from a corporate strategy point of view? What is it and how can it be used? What are the crucial strategic decisions we have to make, and how to make them? What consequences can we expect if we decide on doing AI-projects and what kind of competences do we need? Where shall we start, and what could be a good second as well as third step? What implications for the organization can we expect? These are the questions answered in this course.

Oct 5th 2026
4 Weeks
Business Artificial Intelligence Project
Details
AI for Efficient Programming: Harnessing the Power of LLMs (Coursera) Coursera
Fred Hutchinson Cancer Center

AI for Efficient Programming: Harnessing the Power of LLMs (Coursera)

Robotics & Computer Vision

This course on Artificial Intelligence (AI) for software development explores the use of AI large language models such as ChatGPT, Bard, and others and their potential benefits and challenges. Through examples and hands-on activities, you will develop an understanding of the ways in which AI can speed up software development tasks and free up time for more creative and strategic work.

Oct 5th 2026
4 Weeks
Artificial Intelligence Coding Data Science
Details
Machine Teaching for Autonomous AI (Coursera) Coursera
University of Washington

Machine Teaching for Autonomous AI (Coursera)

Engineering

Just as teachers help students gain new skills, the same is true of artificial intelligence (AI). Machine learning algorithms can adapt and change, much like the learning process itself. Using the machine teaching paradigm, a subject matter expert (SME) can teach AI to improve and optimize a variety of systems and processes. The result is an autonomous AI system.

Oct 5th 2026
4 Weeks
Artificial Intelligence Machine Learning Neural Networks
Details
Introduction to Vertex AI (Coursera) Coursera
Fractal Analytics

Introduction to Vertex AI (Coursera)

Data Science

Welcome to "Introduction to Vertex AI"! In this concise yet impactful microlearning course spanning around 4 hours, we're diving into the world of Vertex AI to equip you with fundamental insights and practical skills. We'll unravel the essentials of Vertex AI, guiding you through the interface to empower you to navigate this powerful platform seamlessly. Get ready to grasp strategic insights that will enable you to effectively harness the capabilities of Vertex AI in your projects.

Sep 28th 2026
2 Weeks
Artificial Intelligence Machine Learning Problem Solving
Details
Data intelligence for businesses and managers (Coursera) Coursera
Institut Mines-Telecom

Data intelligence for businesses and managers (Coursera)

Statistics & Data Analysis Data Science

With the proliferation of connected objects (computers, tablets, watches, etc.), huge masses of data are generated every second. This Big Data has led to the emergence of a data economy, where data is the main source of competitive advantage for companies. In this sense, data and its processing tools have become a strategic priority for companies, and the main gas pedal of their digital transformation.

Oct 5th 2026
5-12 Weeks
Artificial Intelligence Data Management Business Strategy
Details
Machine Learning in Healthcare: Fundamentals & Applications (Coursera) Coursera
Northeastern University

Machine Learning in Healthcare: Fundamentals & Applications (Coursera)

Health & Society Data Science

Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary data mining software applications and basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.

Sep 28th 2026
4 Weeks
Healthcare Artificial Intelligence Machine Learning
Details