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Artificial Intelligence – the Future of Mankind

Have you ever wondered what makes Netflix so apt to give you suggestions for the next series to watch? Or how can Spotify find songs that you really like? Do they know you so well? Not really. They are just using AI.

Man versus machine

To properly understand the difference between intelligence and artificial intelligence, we’ll use a popular example of a photo taken by a Google Street View car. If we set the yellow Google figure on one of the streets of a large Polish city, we will most likely see that all faces of passers-by (who were caught on the photo) are blurred. This is purely about personal data protection and is not surprising at all.

It is surprising, however, that faces on billboards and posters are also blurred. That’s because artificial intelligence automatically blurs every face. Dealing with the same task, a person would not blur faces on posters, because people present on them agreed to the publication of their image. The machine does not know this, so it „sees” another face to be blurred.

Emotions around AI

Artificial intelligence accompanies iPhone owners every day. We mean Siri, an intelligent personal assistant, a creation of Apple. Siri recognizes the user’s speech, answers questions and performs simple tasks ordered by the user. It’s a kind of artificial intelligence that creates machine intelligence. With each subsequent question, Siri answers more precisely, gives us better recommendations and knows the user’s preferences well.

So since she knows them well (and gets to know them better every day), it becomes obvious that the amount of information Siri can provide to third parties is almost unimaginable. This is one of the main allegations of AI opponents. The lack of solid legal regulations in the field of protection of such a large amount of personal data is really a food for thought.

Pros and cons

The development of automation is one of the main assumptions of the concept of Industry 4.0. The fourth industrial revolution focuses on the use of processing, automation and data exchange. In practice, this means creating a network of machines and facilities that will not only be able to communicate with each other, but also make decisions and improve their „skills”. The main example that implements all the assumptions of this concept is Smart Factory, i.e. production plants in which the participation of people in the process will be limited to the necessary minimum.

Something more mundane? Let’s take a look at the automotive industry. According to Tesla’s boss, Elon Musk, the latest autopilot implemented in his cars is a solution that provides greater road safety than the man behind the wheel. Tesla Model S is already able to independently move from the parking lot under the house and pick us up from the party and then comfortably drive us home. There is only one problem – currently, for legal reasons, the driver must be in the vehicle even if he is not driving.

However, the development of AI also raises legitimate concerns. On the one hand, experts argue that machine rebellion is unlikely to threaten us in the nearest future. On the other hand, artificial intelligence has repeatedly proved that the ability to learn does not always go together with learning things that people see as right. Many times bots „spoke” bold opinions and negated the generally accepted norms and customs. For these reasons, bot creators have often been forced to use the so-called kill switch that immediately shuts off the machinery.

Professor Stephen Hawking said that „the risk associated with the development of artificial intelligence is not that it will be malicious, but the competences it will have. Superintelligent AI will be great at achieving goals and if these goals are not consistent with ours, we will have a problem„. This is probably the most difficult task we will face in the future. Will we always be able to control intelligent machines? Let’s hope so.

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