Have you ever thought about running a business from the comfort of your home?
You would like to make your own business an advanced deep-learning neural network, but you would not like anyone else to be your colleague, but your artificial friend, A.K.A artificial intelligence?
Well, we cannot say that this is impossible as in the early 200s there was a boom in artificial intelligence development, but are we, humans, ready to rely on our artificial friends completely?
According to what we have seen by now, the answer is probably no, there is still a mutual dependence between humans and artificial intelligence.
This type of networks, as we have already described them as deep-learning neural networks, obtain information from humans, which means that those who create them must decide which kind of information will be elaborated during the “career” of these networks based on artificial intelligence.
This system of artificial network usage is called supervised learning and it is the maximum that the technology has reached for now. Of course, deep-learning networks have changed a lot recently, they are becoming more useful and more intelligent every day, but what they need to have in order to become something that will completely substitute humans in the technology is the ability to let networks sift through raw data on their own in order to find relevant patterns.
Artificial intelligence has a great potential when it comes to using information selected by humans, but this is exactly what makes things more complicated. By the time this paradox will have disappeared, it is not going to be possible to exclude humans from any business that uses artificial intelligence.
What are chatbots capable of doing?
Almost every company that depends upon its presence online uses artificial intelligence on its platform for communication purposes. We have all, at least one time, got in touch with customer service using chat, trying to look for help and to find the solution to our problem. What happens is that almost always this type of chat is not led by a human, but a bot, i.e. artificial intelligence. These bots must be trained by humans, they must be full of information that will be used in future correspondence with the company’s users – this shows us, again, that the artificial intelligence cannot work by itself. Usually, chatbots are used to offer initial responses to basic customer questions and this helps a lot to customer service agents who, at that moment, may focus on more complex questions and problems.
According to statistics, customers based in the United States opt for direct contact with human customer service agents before they make the final purchasing decision, but they do admit that they usually use chatbots to stay in touch with new products and to obtain information about shipping and other post-purchase things.
Content curation – something that does not work without humans
A great example to explain this is one of the most famous music platforms – Spotify. The system this platform uses is based on a special artificial intelligence tool, created by the platform’s developers. The main task of this system is to generate music recommendations for users and we cannot say that this type of system is not doing a great job, but the problem is that users will always want more, something that, until for now, can be done only by humans. The desire for music recommendations made by humans has reached its maximum and a recently invented thing on this platform proves it. We are talking about a new profession – Spotify playlist curators – whose job is the creation of music playlists that they share on their blogs or social media profiles. These curators get paid from artists who pay for the possibility of inclusion on their lists.
So, this could make us think a little bit – why would I, as a listener, care whether a bot or a human chooses their music playlists?
Fraud prevention – human analysts and artificial intelligence is the key
What artificial intelligence has always been good for is possible frauds detection. However, even here, analysts, i.e. humans still play a key role due to the fact that possible fraud committers might be doing something different from what the artificial intelligence bot “has learned”. For example, wealthy buyers’ orders sometimes alarm potential frauds because, as it almost always happens, they come from distant places, they purchase expensive items and they usually want rush shipping.
The presence of human analysts in such cases is indispensable, as they are trained to reach out to these customers with courtesy in order to stop potential frauds. They are essential for fraud prevention because they know eventual fraudsters’ tactics and they know that everyone, who decides to commit fraud on the internet, will always be willing to destroy the new anti-fraud system, purposely installed to stop them.