Artificial Intelligence: Impact on Human Productivity, Employment, and Social Culture

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This paper examines artificial intelligence as a field that creates machines capable of human-like work and reaction. It traces the historical development of AI from its mid-nineteenth century origins and analyzes its dual impacts: positive effects on productivity, healthcare diagnosis, and economic growth, alongside negative consequences including technological unemployment, erosion of social culture, and loss of human autonomy in decision-making.

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Artificial Intelligence

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Artificial Intelligence

Artificial intelligence is creating machines such that they work and react like human beings. The key human traits picked in this field of computer science are speech recognition, planning, learning, and problem-solving. These machines are programmed to manipulate and move objects (Keating & Nourbakhsh, 2018). Some of the aspects of artificial intelligence are knowledge engineering and machine learning. Knowledge engineering is the manipulation of the systems of these machines so that they can access and relate different objects, categories, and properties. Machine learning, on the other hand, involves the identification of patterns, stream inputs, classification, and numerical regressions.

Generally, artificial intelligence was introduced to make work easier for humans by aiding in difficult tasks. It started with the invention of plows and weapons during the earlier ages of human life and has evolved (Keating & Nourbakhsh, 2018). Artificial intelligence was introduced in the mid-nineteenth century in problem-solving and in symbolic methods. It was then later adopted in the US department of defense in mapping projects. Over the years the machines have developed to human personal assistants like in the case of Siri and Alexa knew in the states (Keating & Nourbakhsh, 2018). With continuous innovations, the machines are currently taking over human jobs.

Artificial intelligence has had a notable effect on technology and human productivity. The made machinery help in saving time since they are quick in their performance (Zhou & Shen, 2018). They help in providing a more customized offer for customers in businesses.

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