Assessments on the boundaries and history of the concept of artificial intelligence
Experts point out that artificial intelligence is not just limited to next-generation models like ChatGPT, but also encompasses long-used technologies such as credit card fraud detection and agricultural visual recognition.
Computer science professors at North Dakota State University emphasize that the definition of artificial intelligence is much broader and more deeply rooted than commonly known among the public. According to experts, this concept includes many different technologies far beyond current large language models like ChatGPT.
The Broad Scope of Artificial Intelligence
Although the concept of artificial intelligence is associated today with popular applications such as writing emails or generating videos, it has actually been present in various areas of life for a much longer time. Experts state that this term acts as an umbrella rather than a single technology.
Technologies Before ChatGPT
Systems used to detect fraud in credit card purchases have long benefited from artificial intelligence models. Similarly, visual recognition technologies that distinguish crops from weeds in the agricultural sector also fall under this scope.
AI as a Marketing Term
While computer scientists prefer to use more specific terms such as machine learning and data mining, these technologies are gathered under the artificial intelligence label for the general public. Experts state that behind this situation lies the fact that the term is more appealing from a marketing perspective.
Shortcomings of Artificial Intelligence
While modern artificial intelligence systems demonstrate superior success in certain areas, they can experience unexpected failures in unusual situations containing logical errors. While humans easily question new information thanks to the world model they possess, current artificial intelligence systems do not fully possess the same reasoning ability.