Artificial intelligence is slowly getting a better number of human jobs which includes the diagnosis of diseases, translation of languages, and customer services. However, this is not all.

Today, artificial intelligence is being used in a range of different industries. Due to the increasing collaboration between humans and artificial intelligence, many people wonder if artificial intelligence will ultimately replace the human labor required in industries. However, this is not an inevitable outcome.

While it is true that artificial intelligence alters the way work gets completed, the larger impact of this technology is to improve the human capabilities rather than replacing them other words, the main goal is to increase the collaboration between humans and artificial intelligence for better results.

Today, an increasing number of companies are making use of artificial intelligence to automate their processes. However, it has been observed that those companies who use artificial intelligence to replace their employees, see very short-term benefits. On the other hand, the firms that focus on increasing the collaboration between machines and humans achieve the best improvement in performance.

By the collaborative intelligence, which is a combination of human labor and artificial intelligence, both parties can enhance each other’s capabilities. This includes the social skills, creativity, teamwork, and leadership of humans along with the scalability, quantitative capabilities, and speed of artificial intelligence.

This is because what is natural for humans to do can be quite tricky for machines due to a lack of consciousness. And at the same time, what is difficult for humans is easy for machines such as analyzing hundreds of gigabytes of data.

In order to turn this collaboration to their advantage, it is important for companies to understand the way in which machines can be augmented effectively. Moreover, it is also crucial to understand the way in which business processes have to be redesigned in order to support such collaboration.

In the collaboration between humans and artificial intelligence, there are three main roles that humans must perform.

The first role is the training of the machines. It is possible for machine learning algorithms to be trained the way in which a task has to be performed. Apart from that, such systems must also be trained on how to interact with humans effectively.

The second key role is explaining. Human experts are required in the field so as to explain the behavior of artificial intelligence to users who are not an expert. Such explainers are primarily important in industries such as medicine and law, where evidence are required. For instance, a practitioner will have to know how an artificial intelligence system weighs the inputs in order to rule out a medical recommendation, or a sentence.

The third crucial role is the sustenance. Apart from explainers, it is important for companies to hire employees with the prime duty of sustaining the artificial intelligence systems. This will include the sustenance of capabilities such as analyzing the huge amount of data and the upholding on ethical norms. For instance, in case an artificial intelligence system discriminates against certain groups of people, ethical managers will be required to address and investigate the problems in the algorithm.