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Eager to Take Part in the Global AI Race? Better, Look for Traps Waiting There for You

Authors:
Emanuel Diamant

Keywords: Artificial Intelligence; Artificial Neural Network; information; information processing

Abstract:
The concept of Artificial Intelligence (AI) was introduced about 60 years ago. At the same time, Artificial Neural Networks (ANNs) were devised as a means for AI implementation. They were conceived as a collection of small interconnected computational units (called artificial neurons), which are supposed to imitate the biological neurons of the human brain. Essentially, ANNs were devised as data processing units – 60 years ago, all things in the world were considered computational. But today, the brain is thought as an information processing system. Therefore, biological neurons (and their artificial analogs) should be considered as information-processing units. This shift in the underlying assumptions is overlooked by almost all AI designers. I hope that a clarification of this issue will help AI designers to avoid dead ended trails and harmful pitfalls on their way to a successful and trustworthy AI realization.

Pages: 16 to 19

Copyright: Copyright (c) IARIA, 2019

Publication date: June 30, 2019

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-723-8

Location: Rome, Italy

Dates: from June 30, 2019 to July 4, 2019