Neural Networks in Society
A Study of Neural Networks in Society
Romulus Hill . Neural Networks in Society. Technical report RH-NNIS-2025, Romulus Hill, . PDF
Abstract
This report is a study into the implementation, variety, and ethical considerations of neural networks in society. It addresses the growing volume of neural networks implemented in society, their use cases, common misconceptions, and variation between network types. Topics include artificial intelligence versus neural networks, network structure, feedforward and recurrent architectures, and implementations such as profiling, validation and verification, and prediction.
Introduction
Since computers were first created, the complexities of computers have grown from simple calculations to word processing, and to communication and file sharing around the world. Along side these developments, has been a constant quest for the creation of something more real, something more in touch with human nature. Something more, intelligent.
Neural networks are the backbone of this drive, they are the buildings blocks of artificial intelligence, and they drive the development of “intelligent” technologies today. We see implementations of artificial intelligence in self-driving cars, image generation and manipulation, and in the medical industry.
As artificial intelligence is implemented across the board, it is important to understand what drives these intelligent applications and devices, or at least, what makes them present themselves as “intelligent”.
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