We have already mentioned the possible use of AI for social purposes. In December 2017 alone, about 8,000 researchers in the field of machine learning and artificial intelligence participated in a conference on neural information processing systems. On this occasion, society, the Ministry of Foreign Affairs and Commonwealth Affairs and the Innovation Network brought together prominent figures to understand how progress in the field of artificial intelligence can be used for the benefit of society, emphasizing how artificial intelligence applications can offer us various useful tools in various sectors including medicine, traffic management and research.

The study examined 160 cases of the use of AI of social impact, demonstrating how they can contribute to solving 17 problems in the field of sustainable development and how they support the most common social problems, as shown in the following figures.

In addition to the issue of system transparency, even the data processed by the system is of utmost importance. It is known that in computer science “Artificial Intelligence and Motion Control” is used, and from this point of view, the quality and relevance of the data for which the artificial intelligence system makes its own choice has a fundamental impact on the result.

Thus, it is necessary that such systems, especially if they were used to ensure public order and social security, do not base their estimates on data that are not specific to a particular person and may have consequences for the same person (for example, estimates based on at the place of residence). community behavior, etc.).

Finally, the importance of public data is emphasized. Providing this data to individuals who implement artificial intelligence solutions will encourage such actions, given that machine learning systems must process large amounts of information for proper preparation. Nevertheless, making such data publicly available, without appropriate measures and precautions, can have negative consequences for people.

Consider health data that can be used to develop artificial intelligence systems in medicine for the prevention of diseases (which are already used today), but at the same time they are used for other purposes, for example, to deny access to work or to refuse insurance coverage.

We are convinced that Europe will be able to take on an important role in the field of artificial intelligence if it remains true to the ethical and humanistic principles on which it is based, providing an example of how technology should put itself at the service of people in the future, it repeats, “oriented per person ”, as is the case in a recent case, which is related to data leakage in favor of which the European rules for the protection of personal data are considered the most suitable for the protection of individuals, so much that I wanted be accepted as a common data management model by a well-known social platform.

Traffic management applications. This is due to the fact that, without the opportunity cost of transport in developing countries, transnational corporations can return their contributions to their countries of origin with unpredictable consequences. Especially these days, According to the author, a large proportion of young low-skilled workers, who for several decades concerned the possibility of becoming the middle class, representing the most valuable comparative advantage of these powers, can become an extremely unclaimed subject due to the growing number of such phenomena as management applications traffic. The trouble is that from an economic point of view it can become costly at first. In the West, we have too little data to say what percentage of robots will steal work or not, and how.

But in the lower reaches of production superpowers, the consequences may seem quite predictable: both on issues related to productivity and on the economic margin. As if that was not enough, despair in developing countries – not balanced by labor market adjustments – would risk going hand in hand with the growing accumulation of wealth in AI superpowers. For example, most personal home assistants, also known as smart speakers, are sold in the richest countries: about 80% are only in the northern part of the country.