HR Automation: Understanding the Limits of Artificial Intelligence
Source | talentculture.com | Jeff Mazur
Artificial intelligence has been infiltrating the business world for the past several years and has also played a major role in HR automation. Today, companies across all industries are using AI to automate a variety of job tasks and replace human capital. And by the mid-2030s, PwC estimates, 30% of all jobs will be automated.
The COVID-19 pandemic only promises to accelerate this trend. Now more than ever, business units are looking to boost their efficiency and save money through automation ‒ and HR is no exception. Automation has the potential to help HR teams recruit, hire, and train employees — and many organizations already use AI-driven software to carry out these tasks.
At first glance, it might make sense to hand some of these repetitive responsibilities to computers instead of humans. But as the executive director of an organization that teaches tech skills and works with companies on talent solutions, I believe these HR functions should remain largely human-driven.
HR automation can — and often does — go awry. Amazon’s HR team experienced this back in 2018, when it was using an algorithm to automatically review résumés. Unbeknownst to them, their AI was penalizing job applicants whose résumés included the word “women.” This bias went on for a solid year before the company noticed, causing the elimination of countless qualified candidates.
This cautionary tale illustrates why HR teams should be wary when implementing automation into their workflows. After all, AI might look like an enticing, cost-effective tool for screening candidates and building teams. But it can also cause your company to waste time and resources.