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This article was originally published at HR Exchange Network by Francesca Di Meglio

Generative artificial intelligence is transforming the workplace, and Human Resources can take advantage of its capabilities to become more efficient. Many in HR are already using this advanced technology to make their work lives easier.

“I hope that HR would view this as an opportunity to routinize and get rid of the work that they don’t have to do,” said Bryan Hancock, partner in McKinsey & Co.’s Washington, D.C. office during a podcast on generative AI. “Then for the work that they do have to do, they can use this technology to find a way to get better answers more quickly.”

In fact, some in HR are already using AI to improve productivity. Count the ways HR is using AI in its everyday work: 

Managing Employee Paperwork

Nearly 80% of the respondents to a survey by eightfold.ai said they use AI to some extent for employee records management. In addition, 77% said they use AI for payroll processing and benefits administration. These are typical duties of HR, and they can easily be automated to help cut down on grunt work. 

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Screen Job Applicants

Anecdotally, recruiting and talent acquisition is the ripest area for HR to apply AI. Indeed, 73% of respondents said they used AI to some extent for recruitment and hiring. Many companies have been using AI to screen resumes or CVs and identify top talent for years. Workplace Influencer and Researcher Michael Arena has said that this is the area in which AI is most useful and advanced, so far. It allows HR professionals to scan for keywords and recognize achievements that would put candidates at the top of the list for interviews or spot underperformers and those lacking the necessary skills to eliminate them from contention. 

Many use AI to collect and organize data that provides insight, so HR can make well-informed decisions about job candidates and who to hire. What is less popular, so far, among HR professionals is using it for what ChatGPT says is its capability to assess candidates’ facial expressions and speech patterns in video interviews.  

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