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Artificial Intelligence and Machine Learning in Human Resources: A Concise Guide by Dr. C. Rasmussen

<a href="https://www.amazon.com/Artificial-Intelligence-Machine-Learning-Resources/dp/B0FWZQXHMG" target="_blank">https://www.amazon.com/Artificial-Intelligence-Machine-Learning-Resources/dp/B0FWZQXHMG</a>

<a href="https://curtisrasmussen.focalpointcoaching.com/" target="_blank">Curtisrasmussen.focalpointcoaching.com</a>
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What if a computer could help find the perfect employee or predict who might leave a job? This exciting idea opens the door to a new way of working.
Overview
This guide explains how artificial intelligence (AI) and machine learning (ML) are transforming human resources (HR). Smart computer programs can quickly review thousands of job applications to find the best candidates, suggest training tailored to employees&#8217; needs, and predict which workers might quit, helping managers take action to keep them. The book includes real-world examples, like how large companies use AI to save time, and covers benefits, such as improved hiring, as well as key concerns, like protecting personal information. At just 61 pages, it’s concise by design, following Richard Feynman’s wisdom: “If you can&#8217;t explain something simply, you don&#8217;t understand it well enough.” More pages don’t equal more value; in fact, lengthy texts can bury useful insights. Since every organization is unique, this book equips HR professionals and managers with the right questions to ask rather than a rigid roadmap, making it a practical tool for anyone curious about the future of work.
About the author
Dr. Curtis &#8220;Curt&#8221; Rasmussen is a leading expert in industrial-organizational psychology with a Ph.D. from Walden University. He specializes in blending human skills with artificial intelligence (AI) and machine learning (ML) to make workplaces better and more efficient. With years of experience in research, consulting, and government roles, he helps businesses use data and tech wisely.
His career highlights include owning Cyber-Human Performance Tech, LLC, where he advises small and mid-sized companies on adding AI to hiring and daily tasks while keeping things ethical. He also guides students in George Mason University&#8217;s Data Engineering program, focusing on AI tools like natural language processing and computer vision. At the Cybersecurity and Infrastructure Security Agency (CISA), he led workforce planning as a senior I/O psychologist, creating surveys and frameworks that improved employee satisfaction by 45% and helped with smarter hiring. Earlier, he reviewed AI and data science proposals for the Department of Commerce, National Academy of Medicine, and the Office of the Director of National Intelligence, making sure projects were strong and fair.
Dr. Rasmussen has invented patent-pending tools like the Multidimensional Algorithm Structure (MAS), which picks the best AI methods by checking data and company needs, and the eXplainable Artificial Intelligence Construct (XAIC), which makes AI easy to understand and trust by involving people in decisions. These ideas help fix common AI problems, like failures or hidden biases.

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