ARTIFICIAL INTELLIGENCE: HISTORY, TYPES AND BOUNDARIES
ARTIFICIAL INTELLIGENCE: HISTORY, TYPES AND BOUNDARIES                
Author(s): Christian FunkSubject(s): Social Sciences, Economy, Education, Sociology, ICT Information and Communications Technologies
Published by: Университет по библиотекознание и информационни технологии
Keywords: Gen AI; Natural Language Processing (NLP); Neural Networks – Deep Learning; strong AI hypothesis; weak AI hypothesis
Summary/Abstract: This article deals with the question of what is artificial intelligence. Inspired by the great success of Chat GPT by the organization open AI and the media discussions about the challenges and risks of artificial intelligence, this paper provides an overview of the emergence, types and limits of artificial intelligence. To develop the study, sources from the academic environment and sources from the IT industry were used based on literature research. After an overview of the chronology of the origins of artificial intelligence, where the reader will get an overview of the history of Artificial Intelligence and that science has it’s root decades back. The article explains the most important technological trends and their effects. The different development streams will be explained, as well as the different types, like natural language processing or neuronal networks. Finally, the article provides an assessment of the opportunities and risks of the new technology. The reader will get an overview of the history of Artificial Intelligence and that science has its root decades back.
Journal: Образование, научни изследвания и иновации
- Issue Year: II/2024
 - Issue No: 4
 - Page Range: 29-35
 - Page Count: 7
 - Language: English
 
