The artificial intelligence represents a concept in software engineering and computer science where the intelligence developed by machines is displayed with intentions of being similar to natural human intelligence but more efficient.
The goal is to automate certain actions that were performed by humans so that machines and computers can efficiently and effectively do them, saving resources and lowering chances of mistakes being made.
Through history, many philosophers thought about artificial intelligence in one way or another. The idea of a non-human being or machine that mimics human thoughts was out there for a while. Even in the novel “Gulliver’s Travels”, there was a reference to “The engine”, a device that could improve knowledge and make even the least skilled people be smarter.
Artificial Intelligence is an area of machine learning, a concept of teaching a computer how to think and what parameters to choose when making a decision. If we go to the core, it is essentially just advanced mathematics applied correctly.
It works by first inserting a large amount of data into the system. We insert the data and samples into the training model, and with the use of statistics and similar mathematic concepts, we teach the computer to predict what would be the correct output if other unknown data was used, by looking at the statistics of the data we put in. For example, if we want to make a machine learning model that uses another advanced concept, computer vision, to recognize whether the placed image was a cat or not, we need to put a lot of images of cats into the system and tell the system that those images are cats. Then, based on calculations and parameters like pixel colors, pixel positions and similar, the system will look at the new image and predict if it is a cat or not. Of course, artificial intelligence will make mistakes, but based on research, a human error is much more common than the computer one. That is why artificial intelligence is really helpful with categorizing a large amount of information. It saves time and effort and is much more reliable.
One of the interesting applications of artificial intelligence is Google Captcha, the one where you need to choose images based on the wanted word, like “Choose all images that contain cars”. Google uses this for both security of a website, to prevent bot attacks, and to collect the data you input so they can later use it for computer vision systems as a large set of data. When you have millions of users, it is much easier to gather the information, and the more data you have, the system is more efficient and has a much smaller chance of making a mistake.
Another great example of advanced artificial intelligence is the autopilot used by Tesla cars. The autopilot needs to make no errors and mistakes, as it could cost one life. It is no easy task to make something like that, counting in all the possibilities of security breaches, but Tesla managed to do it very well. It works by having a large number of parameters, like the wetness of the road, the width of the road, lightings, cars and passengers around you and many more, calculating all the possible routes and behavior, and driving and stopping the car according to the data. When asked how would the car behave on an icy road on a sharp turn, Elon Musk, Tesla’s CEO, answered that the car would know what to expect even before it comes to the turn of the road. Systems like this that have the risk of losing human life are always improved and enhanced, and the security is always top-notch.
Using artificial intelligence in security is also very common in the modern era of software engineering. Some of the examples include looking at client behavior when navigating through a website or a platform that needs the highest security like a bank. If the client had a certain way of navigating things and certain patterns of behavior, the system would be alerted if someone using the account had a different behavior, clicking and navigating routine.
Also, computer vision concepts are already used for scanning the eye and using it as a key for entering high-security facilities.
There are many possible applications that could help us, but we can’t forget the risks that come with them. If we teach AI to code, at one point it might improve itself and we might not be able to stop it. As much as it sounds like it is taken from a science fiction movie or a novel, it is a real treat and many organizations are actively working on ways to prevent it.
In the future, the technology could develop so much that we might not even be able to differentiate a robot from a real human!