What is not Artificial Intelligence?

The capacity of machines to execute cognitive functions such as thinking, perceiving, learning, problem solving, and decision making is referred to as artificial intelligence (AI). Thus, what is not AI is very important to understand.

In this post, we will see what is not Artificial Intelligence.

An algorithm

An algorithm is not what artificial intelligence is. An algorithm is a predefined procedure for performing a task. Typically, we refer to algorithms that are written in computer code and implemented by a computer. However, algorithms can be expressed in math, such as the quadratic formula or the equation to determine the area of a circle, or in normal language, such as a chocolate chip cookie recipe or directions for building a desk.

Model

Artificial intelligence is not a model. A model is a collection of mathematical formulae that are trained on data to make predictions and draw conclusions by analysing the data and looking for trends. A task is allocated to train a model on a vast amount of data. This may mean selecting all of the cat photographs from a pool of 5 million. When users put in “Washington,” it may be determining if they are seeking for the state, the US capital, or a historical figure. As it strives to finish the task and work through the data, the model creates its own process. This is known as machine learning.

Machine learning is frequently referred to as a “black box.” The term “black box” is correct but not complete. Consider placing a youngster in the midst of the woods a mile from her home and instructing her to find her way home. You attach a GPS beacon on her in order to follow her movements. Now assume you repeated the experiment with a dog. The dog takes a different route home than the girl, but he completes the assignment. The tracking data clearly shows the two routes taken: one by the girl and one by the dog. You know how they got home. But, unlike the girl, the dog cannot explain why it chose its course the way it did. Machine learning, like the dog, is incapable of providing reasons and explanations for how it operates.

Robots

Robots are not the result of artificial intelligence. It might be robots, but it is not limited to robots. Robots are robots that are constructed and designed by people to perform automated activities. When something is automated, it means it follows a set of instructions. Humans write and create the programme that is implemented in a robot. Some robots now have artificial intelligence; however, the majority of robots still do the same unchanging acts.

Neutral

Artificial intelligence is not without bias i.e., it’s not neutral. Humans create artificial intelligence, and those humans develop algorithms. Those folks are frequently men, heterosexual, and from wealthy origins. The data that these people use to train the algorithms that they develop to build artificial intelligence is frequently based on a population that is often randomly collected from what is available, and which may wind up looking a lot like the humans who built the algorithms. This causes issues with artificial intelligence when it encounters humans that do not appear, behave, or present in the same way as the humans who authored or were used to train the AI. This is not necessarily the fault of those humans, and they should not be barred from working on artificial intelligence.

Human beings, like machines, have flaws. However, humans, like artificial intelligence, may attempt to learn from their mistakes. People can create superior artificial intelligence if they construct it using humans that look like all various types of humans and train it with human data that reflects all different types of humans.

Singularity

The singularity is not artificial intelligence. The singularity is a hypothetical point in the future when technological advancement and machine intelligence will no longer be under human control. For a long time, science fiction writers have written about the singularity. Philosophers, ethicists, engineers, and bloggers have spent a lot of time and energy debating whether or not to dread the singularity. The singularity may never occur. Or it might. However, if your ship is sinking and taking on water, it may be wiser to concentrate your efforts pumping, patching holes, and seeking lifeboats rather than worrying about a pirate attack. It may also be more prudent to focus on pressing and known AI challenges rather than hypothetical ones that may never arise.

Differentiation

Perhaps the differentiation of artificial intelligence will not be significant. Artificial intelligence is a word that contrasts with natural intelligence, which is how we think of human and occasionally animal intelligence. But, if a poetry is produced by a machine using artificial intelligence and it is so beautiful that it makes you cry, does knowing the source make the poem less meaningful? Does the employment of artificial intelligence by a robot to listen to and converse with an old woman diminish the woman’s fondness for the robot? Do things take on new meaning when you consider that the poem computer and the robot companion were executing algorithms built by humans on data sets created by people? And, since it’s all about what humans construct and how humans react to what they build, isn’t the fundamental question not what artificial intelligence is or isn’t, but what it may become?

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