AI tools that monitor worker emotions are growing, and so are the questions around their use
Picture this: an AI tool scans your employee’s face during a video call and decides they seem disengaged. Another listens to a customer service rep’s tone and flags it as tense. A third monitors your team’s Slack messages and surfaces a report telling you which department seems most unhappy this week.
This isn’t science fiction. It’s happening now, in workplaces across the country, and most HR leaders haven’t had a conversation about it yet.
The technology is called emotion AI, or affective computing, and it encompasses tools that analyze facial expressions, voice tone, word choice, and biometric signals to infer how workers are feeling. And while it’s most prevalent in call centers, trucking, and the fast-food service industry, it’s now expanding into office environments.
“AI is just sort of a new tool for an existing practice,” said Ani Huang, President of Policy and Practice at the CHRO Association in Washington, D.C., which represents the chief human resources officers of major multinational corporations. Employers have monitored calls, emails, keystrokes, and camera feeds for years. Emotion AI, she suggests, simply extends that logic at a scale no human manager ever could.
That may be true. But the science behind it is contested, the law hasn’t caught up, and the decisions HR leaders make now will have lasting consequences for employee trust. Here is where things stand.
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