학술논문

AI Without Math: Making AI and ML Comprehensible
Document Type
article
Source
Subject
UCLA AI Pulse
artificial intelligence
machine learning
AI and ML concepts
Language
Abstract
If we want nontechnical stakeholders to respond to artificial intelligence developments in an informed way, we must help them acquire a more-than-superficial understanding of artificial intelligence (AI) and machine learning (ML). Explanations involving formal mathematical notation will not reach most people who need to make informed decisions about AI. We believe it is possible to teach many AI and ML concepts without slipping into mathematical notation.