Artificial Intelligence is, to say the least, an asset to businesses everywhere. It has proven to be of much use when it comes to making the business world a little easier by automating business processes that typically require human intelligence. So, what is AI and how do we find it? This article intends to outline three myths about the topic of Artificial Intelligence and business.

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Myth One: AI Is Just a Product of Our Times

Artificial intelligence did not just fall from the sky. In fact, it is the product of a lot of complex work, and decades of structuring, and re-structuring data and machines. It is not just something that was thrown together over night and will work as some sort of otherworldly entity. In fact, in order for artificial intelligence to really work for your business, you must totally understand how your artificial intelligence works. This, for the most part, means hiring people who are able to grasp the ins and outs of your company’s specific artificial intelligence needs.

Myth Two: AI is Automation

While it is undoubtedly very difficult to separate the two, many people are under the impression that robotic automation is synonymous with artificial intelligence. I am here to say that that is simply not true. Robotic automation is the automation of monotonous tasks by robots. This can be as simple or as complex as you make it, but can refer to something as common as an answering machine, becoming a part of an assembly line in a factory, or shifting through massive amounts of data from OSINT. Artificial intelligence, on the other hand, has the aim of creating machines that are intelligent and can do tasks similar to humans. It is all about trying to replicate the human mind, rather than just aspects of its work. This is an important distinction when businesses are involved.

Myth Three: Robotic Ethics

We have all seen the films where robots take over and chaos ensues. The idea that robots are not held to the same ethical standards as the rest of us is a common concern amongst AI skeptics. This, however, is not something that has gone unnoticed in artificial intelligence manufacturers and even lawmakers. We are coming to the conclusion that humans are responsible for the work of robots, however the standards applied to humans don’t need to be changed too much to apply to our robotic counterparts. The line is becoming more and more defined every day, and soon there will be protocol for these things.

Myth Four: The Machines Are Stealing Our Jobs

It is a pretty common trope: machines are better than humans, and in the coming years there will be no use for humans at all.With movies about machines taking over coming into play in the most recent years (and since the beginning of cinema), it is easy to become paranoid that you are going to be replaced by a robot.While this universe perpetuated by HG Wells is definitely an understandable notion, it is not necessarily the case quite yet. Humans and machines have completely different functionalities and in order for the best work to be done, humans and robots must be used together. This means humans having the upper hand and using robots to their individual advantages.

Humans and machines oftentimes have complementing capabilities. Machines are pretty good at taking care of structured computation while humans are unique in that they can comprehend and discern meanings and contexts. These two things working together are in fact the way of the future.

Artificial Intelligence is a useful process for humans. However, over the years a lot of myths surrounding artificial intelligence has arisen. This can be dangerous to the public understanding of the benefits of artificial intelligence- including the many business benefits to AI. Artificial intelligence allows for a better user experience and a more efficient running business. With the proper utilization and understanding from a company, artificial intelligence can be used to increase business potential by a lot. Humans and artificial intelligence should be used side by side for the best possible effects. We are not quite ready for the machines to govern our world just yet.