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Responsible and Ethical use of Generative AI in Data Science

The use of generative AI in data science has increased the speed and volume of insights, which accelerates the pace of security and safety challenges. This course will teach you to use generative AI responsibly and ethically in data science.

Intermediate
26m

Created by Dr. Lyron H. Andrews

Last Updated Jan 12, 2026

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  • Course

Responsible and Ethical use of Generative AI in Data Science

The use of generative AI in data science has increased the speed and volume of insights, which accelerates the pace of security and safety challenges. This course will teach you to use generative AI responsibly and ethically in data science.

Intermediate
26m

Created by Dr. Lyron H. Andrews

Last Updated Jan 12, 2026

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What you'll learn

The rise of generative AI in data science has unlocked faster, deeper insights—but it’s also introduced new ethical, legal, and security risks. In this course, Responsible and Ethical use of Generative AI in Data Science, you’ll gain the skills to navigate and mitigate those challenges responsibly. First, you’ll explore key technical risks such as data privacy, bias, hallucinations, and security vulnerabilities. Next, you’ll discover how to prompt generative AI effectively without compromising sensitive information or creating business risk. Finally, you’ll learn how to apply industry frameworks to establish internal review processes and human oversight. When you’re finished with this course, you’ll have the knowledge and tools to use generative AI ethically and safely in your data science workflows.

Responsible and Ethical use of Generative AI in Data Science
Intermediate
26m
Table of contents

About the author
Dr. Lyron H. Andrews - Pluralsight course - Responsible and Ethical use of Generative AI in Data Science
Dr. Lyron H. Andrews
41 courses 4.2 author rating 551 ratings

Dr. Andrews’ technology career spans three decades as a cyber security expert, author, researcher, and social justice entrepreneur.

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