Where AI Can — and Can’t — Help Talent Management

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Studies show employees perceived algorithm-based HR decisions as less fair compared to human decisions. Here's how to navigate that.

, 4.2 million people voluntarily quit their jobs in August 2022. At the same time, there were 10.1 million job openings. Between the Great Resignation and more recent trends like “quiet quitting,” traditional approaches for winning talented workers haven’t always cut it in this fiercely competitive market.to help organizations find better job candidates faster, provide more impactful employee development, and promote retention through more effective employee engagement.

What’s more, companies often have inconsistent processes for matching candidates to job openings beyond the one they initially applied for, leading to wasted opportunities for both candidates and organizations looking to fill roles. AI can help by creating more accurate job postings that are appropriately advertised to prospective candidates, efficiently screening applicants to identify promising candidates, and offering processes that attempt to check human biases. For example, the platform

 

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It doesn't matter, the objective is to pass on the work

This is not good. First, you fire the recruiters in favor of AI, then the AI fires you and places a biased job posting that gets the company sued. The company closes down and the AI is terminated.

algorithms shouldn't decide hiring, algorithms should sort information. intelligence pieces together the rest. humans hire hungry job candidates. algorithms hire best looking CVs

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