Artificial Intelligence Stages

Artificial Intelligence Stages

What is Artificial Intelligence (AI)?

John McCarthy said “Artificial Intelligence – the science and engineering of making intelligent machines”. Artificial Intelligence (AI) is the part of computer science concerned with designing intelligent computer systems, that is, systems that exhibit characteristics we associate with intelligence in human behavior – understanding language, learning, reasoning, solving problems, and so on.

The following are some successful AI applications: Google’s AI-Powered Predictions, Commercial Flights Use an AI Autopilot, Smart Email Categorization, Robo-readers, Mobile Check Deposits, Fraud Prevention, Language translation services (Google), Translating Telephone (Skype), News aggregation and summarization (Google), Speech recognition (Nuance), Song recognition (Shazam), Face recognition (Recognizer, Google, …), Image recognition (Google), Question answering (Apple Siri, IBM Watson, …), Chess playing (IBM Deep Blue), 3D scene modeling from images (Microsoft Photosynth), Driverless cars (Google), Traffic prediction (Inrix), Game playing (Chess, Go, Risk, Bridge, Checkers, ...)

Stages of Artificial Intelligence

There are different stages of Artificial Intelligence:

  • Artificial Narrow Intelligence (ANI).
  • Artificial General Intelligence (AGI).
  • Artificial Super Intelligence (ASI).

Artificial Narrow Intelligence (ANI).

Artificial Narrow Intelligence (ANI) is known as weak AI. This stage of Artificial Intelligence involving machines that can perform only a narrowly defined set of specific tasks. ANI doesn’t possess any thinking ability,and it has a narrow range of abilities. ANI systems don’t perform outside of the single task that they are designed to perform. Examples of weak AI: Bots powered by ANI can be used to automate repetitive service tasks, such as searching the knowledgebase, looking up product details, shipping dates, order histories, and performing countless other customer requests. Other examples are Google Assistant, Google Translate, Siri, natural language processing tools, e-commerce product recommendation tools, disease prediction, mapping solutions, social media behavioral algorithms, self-driving cars, Alexa, alpha-go, Sofia, crawling a webpage or playing chess and so on.

Artificial General Intelligence (AGI)

Artificial General Intelligence (AGI) is known as strong AI. This stage is the evolution of Artificial Intelligence where machines will possess the ability to think and make decisions just like human beings. AGI is called deep AI, can mimic human reasoning and intelligence to learn about a problem and its contexts and solve it. AGI is expected to be able to reason, solve problems, make judgments under uncertainty, plan, learn, integrate prior knowledge in decision-making, and be innovative, imaginative, and creative. AGI is playing an important role in many fields, such as: Cybersecurity; breach detection, monitoring, threat intelligence, incident response, and risk analysis. Entertainment and content creation,  in addition to behavioral recognition and prediction.

Artificial Super Intelligence (ASI)

Artificial Super Intelligence (ASI) is more capable than a human, it surpasses human intelligence in creativity, general wisdom, and problem-solving. ASI algorithms will be capable of defeating the smartest of humans in all the domains. This stage can be the real solution to the problems that are still complex for the human mind. The development path of ASI would be able to connect the minds of each other and be like the human internet, it would be like an imaginary life.

About the Author

Samar Mouti has 16 years of teaching experience in Syria and UAE. She is a program leader of IT Department at Khawarizmi International College, Abu Dhabi, UAE. Her research interest includes Artificial Intelligence techniques, Natural Language Processing, Expert Systems, and Neural Networks.

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