ENGL-111-English Communication I

ENGL-111-English Communication I

Introduction

  1. Artificial intelligence (AI) has been one of the hottest topics in the past few years. It has been rapidly growing due to the numerous areas that can benefit from it.
  2. With the rapid growth of using ِartificial intelligence in different fields, there have been some concerns that it will be a major threat to the human race in the near future and thus, it has to be banned. However, AI has many advantages that overcome its disadvantages. Furthermore, the probability of AI being dangerous is very low; therefore it should not be banned.
  3. In this paper, I will discuss some of the positive points of AI, and some negative points that make some people support the idea of outlawing AI.
  4. Key terms:
  • Artificial Narrow Intelligence: This kind of AI is designed to perform a single task such as facial recognition or playing chess [1].
  • Artificial General Intelligence: It is when a computer system is as smart as a human in every single aspect.
  • Artificial Super Intelligence: This is when a machine is better than a human at all cognitive tasks [1].

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The first fully automated machine was designed in 1941 during the second world war. This machine was designed by Alan Turing to Automatically decrypt German intelligence messages [2]. ENGL-111-English Communication I

Main content

  1. AI systems are more reliable and accurate than humans.
  • One of the areas that benefited from the reliability of AI is the automatic target recognition in radar systems. Originally, the target recognition was performed by examining audio signals received by the radar. This approach introduced unreliable and inconsistent target recognition that is based on the limited senses of radar operators. This is now replaced by machine learning algorithms that can automatically examine audio signals and recognize the targets with very low error rates [3].
  • Medical diagnosis is an area that is influenced by the accurate decision of AI systems. A machine learning system developed to diagnose down syndrome by using facial photographs reached an accuracy of 94.6% of correct diagnosis. On the other hand, a study showed that the accuracy of human-based clinical diagnosis of the same syndrome is between 50-60% [4…Show More….

 

 

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