The role and function of artificial intelligence

Artificial Intelligence (AI) is the theory and development of computer systems that are capable of performing tasks that require human intelligence; in other words, taking elements of what we today consider to be exclusively human traits and transferring them to a machine in a satisfactory manner.

These human traits include visual perception, voice recognition, decision making, and translation. In addition, communication, the ability to learn new things, the ability to abstract or associate with new knowledge based on already established knowledge, and a number of other issues are key to the development of artificial intelligence. The machines should also have the same knowledge that we learn in school: the difference between right and wrong.

Functional and contextual perspective

How and what artificial intelligence will be used for in the future is still a question we don’t know the answer to. One example from this huge field of expertise is that in a functional perspective, where artificial intelligence is used in an industrial or applied context, the focus now is on how this can be used to solve a predefined problem.

Really complex situations will arise when artificial intelligence also must be able to improve over time and take into account contextual factors beyond the predefined problem.

When we humans communicate with each other we take into account contextual and situational factors. The goal is to have the machine do the same. If not, we will understand that we are not dealing with another human being. When a person communicates with a machine without knowing that it is a machine is, that is when we are dealing with artificial intelligence.

Limited use of the potential

Today, artificial intelligence performs relatively simple tasks, so that we humans won’t need to spend time on them. This use of artificial intelligence enables the machines to take over repetitive tasks, often resulting in improved efficiency. But, the use is still very limited compared to the potential of artificial intelligence.

Artificial Intelligence for Norwegian Businesses

Machine learning and artificial intelligence can optimize existing processes and tasks for a large number of our customers, or help businesses accomplish tasks that they are unable to achieve today.

An example: Many case managers are overworked and spend much time reading up on and going into each case. Artificial intelligence can make everyday life easier in uncomplicated but still time-consuming cases, as well as in time-consuming cases that are processed through various stages before being completed.

Artificial intelligence will, in this case, not take over the case manager’s task, but assist in making the work more effective by e.g. providing suggestions for solutions, examples of similar cases, and pre-filling of forms.

Computas helped POWER get more satisfied customers by using artificial intelligence. Read more about how here.

Industry-specific knowledge of the use of artificial intelligence

Without a doubt, artificial intelligence gets more complicated as it goes from a simple demonstration that it works, to be a component in a solution in production. The greater picture here is more about streamlining and deploying IT solutions.

In these cases, we must provide expert advice and identify industry-specific solutions. At Computas, we have long experience in creating all kinds of IT solutions, which we now combine with our expertise in artificial intelligence.

What will the future bring?

In the near future, we expect the use of AI to be relatively limited. Historically, development has progressed sporadically. When a big change suddenly takes place, we see a real upturn in development. We never know when the next jump might occur; in five years or in fifteen years. But until then, it is likely that the use of artificial intelligence will stay at the same level as it is today.

One field that will be interesting to follow is the use of artificial intelligence in language processing. As of now, artificial intelligence does not have an overall good language understanding and is still unable to extract the substance from an extensive text because it lacks long-term memory and the ability to perform adequate abstraction.

Example: When we humans read a book or have a long conversation, we don’t remember every single word. But we can still abstract parts of the content and say something about main topics in the book or the conversation.

Even though artificial intelligence has developed as a field of science and is now used in a way that only existed in science fiction a few years ago, we still have a long way to go before artificial intelligence can replace humans in complex and situational work. That is why, at Computas, we continue working towards a relevant and ethical use of artificial intelligence in the future.

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