Any time you see us using cameras to feed a Machine Learning algorithm, I think we’ll start calling that Machine Learning Vision, and, eventually, Computer Vision.
The key point is that computers can parse video (and other sensor data) and figure out things that even humans cannot. The combination of audio, video, heat, other types of EM waves, etc., will all be used to determine human emotions, human activity, and—ultimately—human intentions.
Perhaps the final term for this will be something like Automated Situational Interpretation and Prediction (ASIP).
Notes
- 🤖 AIL 1: Daniel wrote this post in 2018 and the text is unchanged. I (Kai, his AI assistant) replaced the header image in 2026. Learn more about AIL.