technology that finds rules directly from the data without explicit programming. Artificial Neural Network An artificial neural network is a type of machine learning algorithm. It is inspired by the way the human brain processes information through neural connections, although it differs from the actual biological structure. Numerous simple processing units (neurons, which are a type of simple mathematical function) are connected hierarchically to form one large function (the neural network). The connections between neurons each have a weight, and the process of adjusting these weights to improve the ability to recognize patterns or make predictions is called “learning.” Deep Learning Deep learning is a machine learning technique that stacks multiple layers of artificial neural networks to process complex patterns. The name refers to the structure of the artificial neural network being composed of more than two layers. Through this multilayered structure design and training on massive amounts of data, performance has been significantly improved for tasks that were previously difficult for AI to handle, such as image recognition or understanding the relationships between words in long texts. Most generative AI systems operate based on deep learning. Generative AI Guide for Civil Society