Characterization of weak and strong artificial intelligence

Abstract

Assessing the power and trustworthiness of AI remains a major challenge in scientific advancement. The distinction between weak and strong AI can be found in the literature, but this definition often falls short when put into practice due to a lack of clear and generally applicable definition for AI. As a result, limitations start arising even with the description of the forms of weak and strong AI. The author addresses these shortcomings. First, the text provides a historical review of the definition of AI. First, the text provides a historical review of the definition of AI. First, the text provides a historical review of the definition of AI. Next, it outlines various milestones in AI development, which together present a comprehensive picture of AI’s complexity. The traditional categorization of AI into weak and strong systems is also introduced and critically analyzed.
First, the text provides a historical review of the definition of AI. One problematic aspect of this classification is that some AI systems cannot be definitively assigned to one category or the other.

Alexander Maximilian Röser

Senior Consultant @WEPEX

My research interests include Artificial Intelligence, Data Science and Digital Transformation.