Historically, with each technological advance that replaces activities carried out by humans, a wave of uncertainty and mistrust follows. It is common to think that from one day to the next, machines will do all our work and we will become obsolete for the labor market. Such may be the case of the irruption into our lives of the Artificial intelligenceDefined as the ability of a computer to perform tasks of human intelligence.
However, as with other technological advances, the human factor in the tasks of the machines continues to be key. For example, the tasks of a developer will continue to be necessary since they are the ones who generate programming code, which is neither more nor less than giving instructions to the machine to execute an action. In other words, the intervention of people continues to be imperative, although an added value is provided: speed, because it allows reducing the search and compilation times for material.
In the future, with the advancement of NLP (natural language processing, for its acronym in English) it is possible that programming languages will be replaced and that we will have the ability to give instructions to the machine directly. Either way, someone will have to write and execute them, which means we are decades away from a breakthrough of this magnitude.
Based on all of the above, we can state that artificial intelligence has vast possibilities to optimize production and business processes. It has applications to improve productivity, security and increase the speed of workflows.
The use of AI in the work environment occurs mainly in the following fields:
– Management of human resources: Applicable in recruitment processes, to evaluate interviews with less bias or prejudice. It allows evaluating information about the performance, wages and costs of the workforce in relation to the business strategy.
– cobotization, cobots and chatbots: Cobots or collaborative robots are robots with integrated artificial intelligence that are safe to work with. They are equipped with sensors that allow them to stop or enter safe mode when interrupted.
On the other hand, there are chatbots, which are systems capable of solving basic queries through text, generally applicable to customer service. It allows artificial conversations with people to assist them based on a training model (usually we find it on government websites).
– wearable technologies: These are devices that people can carry on their body, with technological and connectivity functionalities, as well as sensors. Its application in work environments is in factories through GPS and radio frequency sensors, as well as with glasses with screens and augmented virtual reality functions that help to provide training and assist workers in more dynamic tasks.
– sharing economy: Work is done through the Internet, usually on a digital platform, where there is a decentralization of tasks.
The evolution of AI
Although AI (artificial intelligence) has already been a concept known for more than 50 years, since 2012 there has been more and more talk about it. machine learningwhich today is almost synonymous with artificial intelligence. Machine learning are techniques that allow an algorithm, you have to do a task, can modify its behavior based on data with which it was trained (by a human, again).
Another evolution in this matter is the emergence of tools such as the GPT Chat (artificial intelligence chatbot prototype that specializes in dialogue) and which allows obtaining an answer, in many cases correct, and in a matter of seconds.
The recent popularity of this branch is due to the appearance of truly disruptive, attractive products that add a lot of value. Today, from the concept of NLP there are many new products that attract attention. The difference between a product that is purely human and one that uses AI is that the latter will hit the streets faster and that is what gives it more value. Production times are expedited, since machines can learn experiences, adapt and have behaviors similar to those that a human being would have, through unlimited processing capacity.
This situation leads to more and new projects that implement AI in various areas, many of them unexpected. In the health system, technology is collaborating in the early detection of deadly diseases and in the improvement of diagnoses. Although there are still relegated areas such as education. There, AI could intervene in the way of studying and learning (80% of the cases we memorize something that we later forget), to give way to a more practical approach and focused on the experience of doing, something that can contribute a lot to students.
beyond development
Definitely, every technological advance is the beginning and the end of many things. However, the emergence of AI is too general to affect all or most of what exists today. There is still time for this.
We are surely witnessing the beginning of a very big change in everything we know. But this is not unusual, it is something historical and typical of technological advances and our evolution as a species.
* Nahuel Alberti, Head of Engineering for Paisanos
