Question

There is some evidence that suggests that information technologies using Artificial Intelligence (AI) capabilities have displaced workers in some occupations. In other occupations however, expansion of production using AI technologies have not displaced labor but in fact have led to greater employment and higher wages. Using an economic framework or model, can you provide an explanation for this result? (Feel free to demonstrate using a graph if you like.)

Answer 1

A key perspective comprehends AI, a particular AI system that has been driving the advancement of new calculations to substitute or bolster human basic leadership – some of which are as of now conveyed on the web. Brilliant colleagues, for example, "Siri" or "Alexa", use AI to translate voice directions, email servers utilize the system to more readily sift through garbage mail, and some web based business sites use it to customize the web understanding of their clients.

Computer based intelligence is an innovation that could improve the world. It can make restorative systems more secure, increment profitability and lift the economy, or be utilized in applications to improve the personal satisfaction for the debilitated. In any case, AI is additionally an innovation that accompanies difficulties, for example, responsibility, security, mechanical doubt, and the removal of human specialists.

Occupations will be destroyed, yet not dispensed with. Rather than agonizing over employment misfortunes, administrators ought to help diminish occupations in which AI and AI assume control over exhausting errands, while people invest more energy with larger amount undertakings

Computer based intelligence likewise brings difficulties: numerous occupations will be made, others will vanish, most will be changed. This implies we should enable laborers to get new aptitudes.

Artificial intelligence in agriculture

As we now know that the AI is the branch of computer science which deals with simulation of intelligent behaviour in computer systems. The basic idea is to work being with the artificial intelligence rather than to compete with artificial intelligence.

The population all over the world is expected to increase 10 billion people by 2050, which will automatically bring rise in the food production globally at rate of 70%. This challenge can be bridged up with the use AI.

In agriculture, AI can be useful in recognizing abiotic stress, managing crop quality, monitoring biotic factors, automated farm activities, or identification of pests and diseases, automated irrigation system , weeding system, drones for crop spraying etc.   

The jobs more likely to be impacted are in service sectors such as construction, health care business, defence, etc. rather than agriculture.

Agriculture is pretty lean and labor-efficient now in comparison to other labor-intensive sectors.

In developing countries, the area which most stands to benefit is agriculture, Ernst said. AI is already helping farmers figure out the weather or get the latest market prices.

The sort of errands that are being supplanted by AI calculations are normal, tedious undertakings that take a great deal of time and can be all the more effectively and all the more successfully performed by machines and by robots – leaving individuals to concentrate on relational, social, passionate aptitudes.

People likely could be more profitable and less expensive than machines. Notwithstanding shabby human work, the absence of required aptitudes, poor vitality framework and broadband, and transport organize, with respect to why robotization isn't utilized on a worldwide scale.

Also, the agriculture depends largely on erratic rainfall and weather conditions, the precise and accurate prediction is unable to get at the farmers end.

One of the biggest problems for farmers is not being able to meet the expense and have access to precision farming.

Low-wage nations, for example, China, India and Bangladesh are presently as yet profiting by their excess of low-talented specialists. The pay costs are lower than the expenses for the procurement, advancement and support of digitalised gear.