Introduction
Artificial intelligence (AI) has fundamentally transformed information technology. Because of the new economy of information technology, our way of life has altered. The application of AI algorithms to solve engineering challenges has recently caught the interest of many researchers. However, because AI algorithms use stochastic search techniques, they take a long time to compute for large and complex problems.
AI can be useful for any intellectual task. There are too many current artificial intelligence methods to list them all. The term "AI impact" describes how a technique frequently loses its artificial intelligence status once it is widely adopted. In the 2010s, the most lucrative computer disciplines were centred on AI applications, which have now influenced every aspect of modern life. Share your thoughts at the Artificial Intelligence Write For Us category.
Cons of Artificial Technology
Some of the major cons of Artificial Technology which are very concerning are as follows-
Degradation
It's possible that this drawback won't be as noticeable as the others. But most machines decay with time. For instance, if AI is added to a piece of production line machinery, its parts will eventually begin to wear out. In addition, the AI will eventually stop functioning if it lacks a self-repairing feature. AI may also become obsolete if it isn't given the chance to grow and isn't regularly reviewed by data scientists. If the AI is not given the chance to learn and develop on its own or to be retrained, the model and training data that were used to construct it will quickly become out of date.
No Emotions
The next flaw in AI is its incapacity to render decisions using creativity and emotion. AI is incapable of inventing novel solutions to problems or excelling in any highly aesthetic professions due to its lack of creativity. Scientific research suggests that at this stage of its evolution, AI may be programmed to generate "novel" thoughts but not truly creative ones. This study suggests that AI decision-making would be confined until it can produce novel and unexpected ideas. If a company is looking for a creative or new solution to a problem, people are better suited to provide it.
Not Cost Effective
The cost of developing AI is by far and away the biggest and most obvious drawback. The price will vary depending on your exact needs for AI. One estimate stated that the cost for the majority of firms to fully implement an AI system ranged from $20,000 to far into the millions of dollars. The cost of AI is eventually recovered once it has been fully installed and has helped to optimise the workflow. The initial expense, though, could be overwhelming, if not downright prohibitive.
Conclusion
In order to find solutions in practical applications with limited resources, time, and money, it may be required to develop efficient algorithms. This special issue seeks to report on the most recent advancements in all branches of artificial intelligence technology, including machine learning, data mining, computer vision, multiagent systems, evolutionary computation, and fuzzy logic.
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