6 examples of artificial intelligence applied to society

Different ways in which artificial intelligence can be used.

It is a fact that artificial intelligence is already among us. It is not always as it was shown in science fiction movies a few years ago, but there they are: in many of the things we spend our time doing throughout any given day.

When we use a cell phone, surf the Internet or simply drive a vehicle in a city, in all these cases, most of the time inadvertently, artificial intelligence is involved in one way or another.

The aim of this article is none other than to show some of the faces that such a reality assumes. To this end, we will look at several examples of artificial intelligencewhich are already in use today or will be in use in the near future.

6 examples of artificial intelligence

Artificial intelligence (AI) is the field of computational science responsible for devising, designing and producing machines or algorithms that exhibit operating parameters that bring them closer to human information processing.. Thus, it usually includes functions such as the resolution of very complex problems, text comprehension and protocol planning in very diverse areas; although in recent years it is being extended to progressively broader domains (such as those that will be discussed here).

Current technologies make it possible to materialize what just a few years ago could not have been conceived even by science fiction. From the use of robots (increasingly more human-looking) capable of diagnosing health problems, to vehicles capable of moving autonomously (unmanned). The main emphasis is moving towards the conception of intelligent machines, capable of learning without the need for human supervision, and even using a structure similar to that of our own central nervous system. In fact, the affective consequences the affective consequences associated with living with robotic beings are beginning to be studied.Theories such as the Uncanny Valley are emerging.

This is an area of rapid technological development, and probably in the near future will involve daily coexistence with artificial beings capable of understanding themselves and even developing a kind of consciousness. In other cases, it explores less "tangible" types of technology, which take the form of algorithms and/or codes on which many "invisible" processes in everyday life are based: from air traffic control to the custody and analysis of huge volumes of information. All of this through advanced statistical strategies.

Thus, as science fiction loses its last name and becomes just science, it is necessary that human beings begin to assume that they are shaping with their own hands a paradigmatic change in the way we understand the world. As an illustrative example of this, here are just a few examples of artificial intelligence that are on the horizon, or are already among us. In order to organize the information in a more comprehensible way, it will be broken down by areas.

1. Advertising

Artificial intelligence in the particular field of advertising aims to optimize digital marketing campaigns, through the use of algorithms with a progressive sophistication of algorithms with a progressive sophistication and aimed at identifying all the needs of a potential consumer with the aim of displaying the "spots" that could be of most interest to them. In this sense, it is a fusion between the use of data, creativity (always evident in this sector) and the use of information and communication technologies.

Artificial intelligence in this field carries out a process of real-time monitoring of "online traffic" and the profile of each surfer, in order to optimize the selection process of the different spaces in which to display the products or services to be sold (economic return). The aim is to get the right message to the right person at the right time, thus speeding up the persuasion process targeted by this field of knowledge.

This form of artificial intelligence is being heavily criticized, as it is considered to infringe on privacy. it is considered to violate the user's privacy, although it is now widespread.However, it is now widespread in practically the entire network (with greater or lesser complexity). The latest laws on data protection policies make it mandatory to warn visitors to any site on the Internet about its use of such practices (cookies, activity collection, etc.).

2. Transportation

Artificial intelligence is entering an unstoppable expansion also in the transport sector, both public and private. the transportation sector, both public and private. The purpose of these technological developments is to increase the safety of passengers in vehicles, as well as passers-by around them during the act of driving, or even to regulate the use of the roads that are enabled for this purpose. Some companies also aim to reduce environmental pollution in the future, also through advances in this area.

Autonomous navigation systems are beginning to be implemented for all types of vehicles, and not only in airplanes, where they have been used for a very long time (the pilot "only" takes control of the aircraft during takeoff and landing, or when the weather situation requires it). In these cases, a succession of algorithms orchestrated by a central unit is responsible for processing huge volumes of information on the relative position in space. information about the relative position in space and what it contains, in order to make decisions with much greater accuracy.The use of these algorithms is also beginning to be used to make decisions with much greater speed and precision (efficiency) than any human being.

More and more advanced computerized tools are also being used to manage the volume of traffic on roads and highways, monitoring all environmental conditions and predicting traffic jams based on contextual information and statistical processing of previous events. It is even possible to detect who is using their cell phone while driving and alert the authorities!

3. Finance and economics

As societies expand and become progressively more complex, the naked ability of human beings to capture/process the information that is generated inevitably faces its limitations, to such an extent that the search for and implementation of alternatives that give viability to the mechanisms that have been used so far to survive becomes essential. A technological revolution is therefore required. And in this sense, artificial intelligence has found an inexhaustible area of application in the field of banking and economics..

The volume of information currently under analysis in the finance sector is truly overwhelming. However, it has the peculiarity of using mainly quantitative data (such as investments, commissions, debts, etc.) and of great regularity, making it easier for artificial intelligence to be implemented with algorithms that in the future will be extended to practically all areas of these business areas.

At present, artificial intelligence in finance is still considered an adolescent technology, although it is on the rise (only 25% of the entities currently operating do not plan to make use of it within 24 months). The most common use today is in the detection of tax fraud and wealth management, although they are beginning to extend to other areas such as tax fraud detection and asset management.The most common utility today is tax fraud detection and wealth management, although they are beginning to extend to personal finance and loan applications.

4. Education

Artificial intelligence in education aims to dilute the barrier that is currently erected between formal teaching (in the classroom) and autonomous and independent learning of students. The aim is to minimize redundancy in the tasks that are taught to young peopleThe aim is to minimize redundancy in the tasks taught to young people, encouraging collaborative methodologies in the construction of knowledge and the stimulation of autonomy. To this end, use is made of personal communication systems (internet, mobile devices, etc.) beyond the traditional spaces where the teaching-learning process was developed.

Artificial intelligence can contribute to the continuous assessment system by monitoring student performance in real time and anticipating possible difficulties that may arise during study time, optimizing demands and informing teachers about these circumstances.

It would also allow the early detection of special educational needs, and even specific learning disorders, in order to articulate faster and more efficient solutions by the different professionals involved in their treatment (therapeutic pedagogy, psychology, speech therapy, etc.).

5. Industry

Artificial intelligence is currently being used on a massive scale in the industrial sector, automating production processes and perfecting material/human resources.. For example, its use is very frequent in the production of flour and bread, in which highly complex algorithms capable of predicting events that could condition their quality or nutritional matrix are used. With this type of technology, decisions are made to solve contingencies that until recently required manual intervention.

There are also imaging techniques capable of capturing capture any deviation from a standard on assembly lines or production lines, many of which are not noticeable to the human eye, and which warn of the situation before it takes on catastrophic or costly dimensions for the company.Many of these deviations are invisible to the human eye, and warn of the situation before it becomes catastrophic or costly for the company (chain errors, factory defects, etc.).

6. Health

Healthcare is one of the areas of life in which artificial intelligence is currently experiencing the greatest boom. Thus, there are technologies designed for the detection of first or successive psychotic episodes from data extracted from functional MRI scans, with a success rate of up to 80%, which is an unparalleled milestone in the history of mental health (since it is a Biological marker for the diagnosis of such serious psychopathology). However, in recent years, the usefulness of these neuroimaging techniques has been questioned, so their use is subject to reflection.

On the other hand, social networks, and the enormous amount of information that can be posted on them, are also beginning to be used as predictive indicators of many physical and mental pathologies. For the time being, the most common use is aimed at the detection of suicidal risk and mood disorders.However, it is expected that with the improvement of Big Data management (computer technologies designed to process huge volumes of data) it could be extended to other health circumstances.

While in the field of mental health the incursions of artificial intelligence are still very rare, this is not the case in other related areas, such as medicine. For some time now, pieces of software have been designed to estimate the collateral damage of radiotherapy by means of information gathered from the convergence between clinical records and registration or verification systems. This improves prognostic factors and anticipates the secondary effects of this treatment modality.

In recent years, efforts have also been in recent years, efforts have also been directed towards the automation of all clinical records in the healthcare fieldIn recent years, efforts have also been directed towards the automation of all medical records in the health field, in interaction with current indicators on the state of the body itself, by means of which the evolution of a patient can be predicted by means of predictive algorithms subject to the constant updating of the evidence accumulated in the scientific body of knowledge. In this way, professionals will be able to know automatically how their patient is doing and offer a treatment based on more objective bases. Genetic mapping, which will gradually become more affordable, will also play a key role in the unstoppable process towards the digital transformation of healthcare.