Why human minds struggle to truly grasp AI
Our brains may not be built to fully understand artificial intelligence (AI), according to The Verge. The piece looks back at cybernetics pioneer Norbert Wiener, who argued that the thinking of any era mirrors the technology it uses. For the last hundred years, that technology has been computers, and AI firms often describe the human brain itself in computing terms. Google's Demis Hassabis is cited comparing the brain to a biological approximation of computer-like processes. The article suggests this habit of explaining minds through machines shapes how people imagine AI's abilities and limits, raising questions about whether our everyday mental models are good enough to judge what AI really is or can do.
Words to know
- Cybernetics
- — The study of how control and communication work in machines and living things.
- Artificial intelligence (AI)
- — Computer systems designed to perform tasks that normally need human intelligence.
- Biological approximation
- — Using a living system as a rough, simplified model of something else, like a computer process.
Summary written from The Verge's headline and teaser