PluralSight – Responsible and Ethical use of Generative AI in Data Science 2026
English | Tutorial | Size: 202.68 MB
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.
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.
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