6 examples of artificial intelligence applied to society

It is a fact that artificial intelligence is already among us. It’s not always like the sci-fi movies that were shown a few years ago, but here they are: in many things that we devote our time to every day.

When we use our mobile phone, we are surfing the Internet or simply driving a vehicle in a city; in all of these cases, most of the time inadvertently, artificial intelligence is involved in one way or another.

The purpose of this article is none other than to show some of the faces that this reality implies. For this we will see several examples of artificial intelligence, Which are already in use today or soon will be.

    6 examples of artificial intelligence

    Artificial intelligence (AI) is the field of computer science responsible for designing, designing and producing machines or algorithms that boast of operating parameters that bring them closer to the treatment that humans make of information. Thus, they often include functions such as solving very complex problems, understanding texts and planning protocols in a wide variety of fields; although in recent years it has been extended to increasingly broad areas (such as those which will be discussed here).

    Today’s 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 human) capable of diagnosing a health problem, to vehicles capable of moving autonomously (without a pilot). The main emphasis is on designing intelligent machines, capable of learning without human supervision, and even using a structure similar to that of our own central nervous system. In fact, the emotional consequences of living with robotic beings are beginning to be studied, Emerging theories such as the disruptive valley.

    It is an area of ​​rapid technological development, and which in the near future will probably involve daily coexistence with artificial beings capable of understanding each other and even of 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 of daily life are based: from air traffic control to air traffic control. custody and analysis of huge volumes of information. all that using advanced statistical strategies.

    So, as science fiction loses its surname and becomes just science, human beings must begin to assume that they are shaping with their own hands a paradigm shift in the way we understand the world. As an illustrative example, we have raised here only a few examples of artificial intelligence that are approaching or are already among us. To organize the information in a more understandable way, it will be detailed by areas.

    1. Advertising

    Artificial intelligence in the particular field of advertising aims to optimize digital marketing campaigns, through the use of algorithms with progressive sophistication and aimed at identifying all the needs of a potential consumer in order to show the “spots” which could be the most interesting to him. In this sense, it is a fusion between the use of data, creativity (still 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 browser, in order to optimize the process of selecting the different spaces in which to display the products or services for sale (profitability economic). The aim is for the right message to reach the most suitable person at the best possible time, which speeds up the persuasion process towards which this area of ​​knowledge is directed.

    This form of artificial intelligence has been the subject of very significant criticism since it is considered to violate the user’s privacy, Although today it is distributed over almost the entire network (with more or less complexity). The latest laws on data protection policies oblige those who visit a website to warn of its use of such practices (cookies, activity collection, etc.).

      2. Transportation

      Artificial intelligence is also entering an unstoppable expansion the transport sector, both public and private. The aim of these technological developments is to increase the safety of vehicle passengers, as well as the passers-by who surround them while driving, and even to regulate the use of routes which are authorized for this purpose. . Some companies also intend to reduce environmental pollution in the future, also through progress in this area.

      Autonomous navigation systems are starting to be implemented for all types of vehicles; and not only in airplanes, where it has been used for a very long time (because the pilot takes “only” control of the aircraft during take-off 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 data. information about the relative position in space and what it contains, In order to make decisions with much more speed and precision (efficiency) than any human being.

      They are also starting to use increasingly advanced IT tools to manage the volume of traffic on roads or highways; monitor all environmental conditions and predict traffic jams based on contextual information and statistical processing of previous events. It is even possible to detect who is using your cell phone while driving and alert the authorities!

      3. Finance and economics

      As societies develop and become progressively more complex, the naked ability of human beings to capture / process the information generated inevitably comes up against its limits, so much so that research and research becomes fundamental. heretofore had been used to subsist. A technological revolution is therefore necessary. And in this sense, artificial intelligence has found an inexhaustible application space in the banking and economic field.

      The volume of information currently being analyzed in the financial sector is truly overwhelming. However, it has the particularity of using fundamentally quantitative data (like investments, commissions, debts, etc.) and very regular, so that it facilitates the implementation of artificial intelligence with algorithms that in the future extend to practically all areas. of these areas of activity.

      At present, artificial intelligence in finance is still considered a teenage technology, although it is booming (only 25% of entities currently in operation do not plan to use it within twenty months). The most common utility today is tax fraud detection and wealth managementAlthough they are starting to spread towards personal finance and loan applications.

      4. Education

      Artificial intelligence in education seeks to dilute the current barrier between formal (classroom) education and student self-directed and independent learning. The aim is to minimize redundancy in the tasks taught to young people, Promote collaborative methodologies in the construction of knowledge and in the stimulation of autonomy. For this, we use personal communication systems (internet, mobile devices, etc.) beyond the traditional spaces where the teaching-learning process has taken place.

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

      early detection of special educational needs, and even all specific learning disabilities, to articulate faster and more effective solutions by the various professionals involved in their treatment (therapeutic pedagogy, psychology, speech therapy, etc.).

        5. Industry

        Artificial intelligence is now widely used in the industrial sector, automate production processes and improve material / human resources. For example, its use is very common for the preparation of flour and bread, in which very complex algorithms capable of predicting events liable to condition their quality or their nutritional matrix are used. With this type of technology, decisions are made to resolve unforeseen events that until recently required manual intervention.

        There are also imaging techniques capable of capture any deviation from a standard on assembly or production lines, Many of which are invaluable to the human eye, and which alert to the situation before it acquires catastrophic or costly dimensions for the company (chain errors, factory faults, etc.).

        6. Hello

        Health is one of the areas of life in which artificial intelligence is experiencing the greatest boom today. Thus, there are technologies designed for the detection of the first psychotic episodes or subsequent episodes from functional MRI data, with a success rate of up to 80%, and which constitutes an unprecedented step in the history of mental health (as it is a biological marker for the diagnosis of such severe psychopathology). However, in recent years the usefulness of these neuroimaging techniques has been questioned, so it is a thought-provoking use.

        On another note, we are also starting to use social media, and the enormous amount of information that can be poured into it, as predictors of many physical and mental conditions. At present, most common use is to detect suicide risk and mood disorders, Although it is expected that with improved management of Big Data (computer-based technologies intended to process huge volumes of data) may be extended to other health circumstances.

        While artificial intelligence forays are still very rare in the field of mental health, this is not the case in other related fields, such as medicine. For some time, software has been designed to estimate the collateral damage of radiotherapy from the information requested from the convergence between the clinical history and the recording or verification systems. This improves prognostic factors and anticipates the side effects of this type of treatment.

        In recent years, the efforts they aim to automate all medical records in the health sector, In interaction with current indicators on the state of the body itself, through which the evolution of a patient can be predicted thanks to predictive algorithms subjected to the constant updating of the evidence which accumulates in the scientific heritage. In this way, professionals will be able to automatically know how their patient is doing and offer sustained treatment on a more objective basis. Genetic mapping, which will gradually become more affordable, will also play a key role in the unstoppable process towards the digital transformation of health.

        Bibliographical references:

        • Amisha, PM and Vyas, KR (2019). Overview of artificial intelligence in medicine. Journal of Family Medicine and Primary Care, 8 (7), 2328 – 2331.
        • Buche, VH and Ahmed, I. (2018). Artificial intelligence in medicine: current trends and future possibilities. British Journal of General Practice, 68 (668), 143-144.

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