Generative AI: Impact, Considerations, and Ethical Issues

By Coursera on Coursera · Data Science
Price
Free

About This Course

In this course, you will explore the impact of generative artificial intelligence (AI) on society, the workforce, organizations, and the environment. This course is suitable for anyone interested in learning about the ethical, economic, and social implications of generative AI and how generative AI can be used responsibly. It will benefit professionals, executives, policymakers, and students. In this course, you will learn about the ethical concerns of generative AI, including data privacy, biases, copyright infringement, and hallucination. You will identify the misuses related to generative AI, including deepfakes. Further, in the course, you will examine the considerations for the responsible use of generative AI. You will explore the broader implications of generative AI on transparency, accountability, privacy, and safety. Finally, you will learn about the socioeconomic impacts of generative AI. The examples and cases included in the course help to realize the considerations for generative AI in real-life scenarios. You will hear from practitioners about the realities, limitations, and ethical considerations of generative AI.

Instructor

Generative AI: Impact

Frequently Asked Questions

How much does Generative AI: Impact, Considerations, and Ethical Issues cost?
Visit the Generative AI: Impact, Considerations, and Ethical Issues course page for current pricing and available discounts.
Who teaches Generative AI: Impact, Considerations, and Ethical Issues?
Generative AI: Impact, Considerations, and Ethical Issues is taught by Rav Ahuja, IBM.
What skill level is Generative AI: Impact, Considerations, and Ethical Issues for?
This course is designed for all levels learners.