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Machine Learning in HRM

Here are four examples of how machine learning, including deep learning, can be used in HRM. Flip the cards to see the applications.

Using machine learning for candidate assessment and tracking through selection processes can streamline recruitment and help teams find high-potential talent faster.

Machine learning tools use predictive analytics and real-time monitoring to identify patterns that contribute to employee attrition and can predict the best next steps to reduce the loss of good staff.

Predictive models can be used to better match candidates or new recruits to the best-fitting roles based on their skills, qualifications, strengths, and past performance.

Machine learning can be used to uncover human bias in job descriptions and candidate evaluations. It can catch problematic language and make recommendations to improve postings and evaluation criteria. But it can also introduce bias!

Which of these AI applications would you be keen to deploy, if offered? Which not, and why?

Record your thoughts in your learning diary before you move on….

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