The Trouble with Emotion AI
Emotion AI, also known as affective computing, aims to measure and manage employee emotions using advanced technologies. While it promises benefits such as improved safety and customer service, the science behind it is often flawed. Critics argue that relying on emotion AI can lead to unfair surveillance and misinterpretation of human emotions.
- ▪Emotion AI uses various technologies to detect and interpret human emotions in the workplace.
- ▪Despite its potential benefits, the science behind emotion AI is often based on problematic theories.
- ▪Critics warn that emotion AI could lead to unfair surveillance of employees.
Opening excerpt (first ~120 words) tap to expand
Call it ‘emotion AI,’ ‘affective computing,’ ‘sentiment analysis,’ or ‘algorithmic affect management.’ Whatever the name, it’s a bad idea. Credit: Thinkstock “If you can’t measure it, you can’t fix it.” That’s a common saying in business, and it tends to be true. But what if the thing you want to fix is your employees’ attitudes? The AI revolution makes it possible to measure emotions and mental states. So why not use it widely and fix what’s broken? That’s the idea behind emotion AI, which is also called “affective computing,” “sentiment analysis,” or “algorithmic affect management.” The idea is to use sensors and AI to detect, interpret, classify, and act upon human emotions in the workplace.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Computerworld.
