AI researchers have suggested a variety of various ways of creating “intelligent” robots. There are two primary issues that these strategies attempt to address.


The initial issue is to create an intelligent machine that can execute the entire variety of intelligent behavior. For instance in the game of Checkers against humans It isn’t enough to just play legally. The computer must also be able recognize the advantages of a situation and decide the move that will lead to this scenario.

It should be aware of all possible reactions by the opponent’s human counterpart and select the move that will result in the most effective response. In this scenario there are thirty possible options at each stage during the game. There are 10 possible responses to each of those moves that have to be taken into consideration along with any future consequences.



The possibilities for a solution quickly expands! The problem is designing machines that can do all these calculations in a the shortest period of time.

The third issue is to create an automated machine that can be taught from its own experience. For instance, if you wish for the machine to to play Checkers the first step is program it with all possible counter-moves and moves.

What if you wanted it to to play new games?

It is necessary to show the machine what rules this brand new game operate. Sometimes , this is accomplished by programming the knowledge directly into the system but what happens is the best way to train it to take lessons from mistakes, and make corrections when it makes a mistake decision? In that scenario there must be some kind of feedback mechanism that lets the machine discover which actions are successful and which ones aren’t.

What kinds of computer science methods are employed for AI?

There are many different techniques in computer science which are employed in AI. Some of them are described below.

Decision trees

The decision tree can be described as a method of expressing knowledge through the form of a series of branching queries and their answers. This method is typically employed by specialist software (described further below) to imitate the reasoning process that a human would be undergoing when deciding on how to tackle a problem.

Functions that are heuristic

Heuristics are methods to determine the best solution through using the ability to “guess” on what might be the best solution, without the need to do all the calculations needed to determine the answer. This approach is utilized in numerous games, particularly games with limited data (like poker) or with multiple different levels of decision making (like the game of chess).

Neural networks

Neural networks are an abstract mathematical model which tries to replicate the way neurons function within the brain of humans. Neural networks comprise artificial neural networks that transmit computations between the groups to the next using connected connections that are weighted. Neural nets are frequently employed in expert systems as well as other AI applications where long-term information must be paired with short-term data like “if the X event occurred and Y followed, then X is likely to happen in the future.”

Specialist systems

Expert Systems are programs on computers that attempt to replicate the way that an expert human would approach the problem. They do this by saving information in a database and then applying rules to integrate this knowledge with the current circumstances to create an answer.

Genetic algorithm

The genetic algorithms in computers employ evolutionary principles and natural selection to resolve complicated issues. They accomplish this by employing complex mutations to the original state of the program, simulated changes over multiple generations and then either choosing the most effective solution or combining successive generations to find more effective solutions.

Behavior Cloning

Behavioral cloning refers to a technique that mimics the behaviour of a particular person or group of individuals. This method can be employed to develop computer programs that are able to complete tasks that are complicated for humans to accomplish, like the recognition of objects in images or videos.

Are there any of the most famous instances in AI?

There are numerous notable examples of AI you have heard about. A few of them will be listed here.

IBM’s Deep Blue: In 1997 IBM’s Deep Blue computer became the first machine ever to beat a world-class player at the game of chess.

AlphaGo from Google

In 2016, the AlphaGo computer from Google was the first computer to beat a professional player in Go. Go.

IBM’s Watson In 2011, IBM’s Watson computer was the first computer to take home the popular game show Jeopardy!

What are some of the issues that are posed by AI?

There are many issues faced by AI which must be resolved in order for AI to achieve its maximum potential.

Incomplete transparency

There is a chance that AI algorithms are in fact being controlled by external forces the user is unaware of. For instance an automated trading system employed by a stockbroker may receive information on the future of developments. In order to ensure that it is more likely to trade on certain stocks.

Possibility of automation

There is a possibility that AI could lead to massive unemployment, as many jobs are able to become automated through machines. It could result in a catastrophic impact on the economy if people become unemployed and become not able to sustain themselves.

How will we develop AI?

What the future holds for AI is hard to forecast however there are numerous possibilities of scenarios that could take place. A few possibilities are described below.

  • AI will be more widely used and be utilized in a broader range of applications.
  • Get smarter and you will be able to tackle more complicated issues.
  • It can also be used to achieve evil goals for instance, by dictators who want to control their people or by criminals in order to commit criminal acts.
  • However, it can also be used to help. AI can be used to assist humans: AI could be utilized to assist humans in a range of jobs, such as. Through helping us make better decisions , or by doing tasks that are difficult for us to accomplish.

The last paragraph of the article should summarise the major issues raised and offer your thoughts on the topic.

AI is developing rapidly however there are numerous obstacles. These challenges must be addressed to allow it to realize its maximum potential. One of the challenges is bias in algorithms. This could result in unfair decisions being taken about individuals’ lives without having the knowledge. Another problem is the inability to communicate. It could suggest it is possible that AI technology is greatly influenced by external forces that the user isn’t aware of. But, there are many benefits to AI. Like its capacity to solve difficult problems and its ability to aid humans with a range of jobs. I believe that the advantages of AI surpass the risks. It is my belief that AI will play a more significant role in our lives in the next few years.