In this course, you’ll explore how to use Generative AI to identify and resolve pay disparities while designing fair, data-driven compensation strategies. Leveraging powerful AI tools like Google Gemini, Claude, and ChatGPT, you’ll dive into hands-on exercises that reveal how AI can uncover hidden inequities, optimize compensation plans, and support ethical decision-making. From foundational concepts to advanced modeling and predictive analytics, this course equips you with the tools and knowledge to lead equity-focused compensation initiatives in your organization.



GenAI for Compensation: Smarter Pay Equity Analysis
This course is part of Human Resource Management Done Right Specialization

Instructors: Starweaver
Access provided by Coursera Learning Team
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What you'll learn
Explain key concepts in pay equity and the role of AI in compensation analysis.
Utilize GenAI tools and statistical models to conduct pay equity assessments and identify disparities.
Develop AI-driven strategies to ensure equitable compensation structures.
Apply AI insights to optimize compensation planning and workforce pay decisions.
Skills you'll gain
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June 2025
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There is 1 module in this course
In this course, you’ll explore the applications of Generative AI in designing fair and equitable compensation strategies. Through hands-on experience with GenAI tools, you’ll learn to identify and address pay disparities, optimize compensation structures, and apply predictive analytics to support data-driven decisions. You’ll also examine the ethical considerations of AI in HR, developing frameworks to ensure transparency, accountability, and fairness in compensation planning.
What's included
11 videos4 readings1 assignment4 peer reviews2 plugins
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