On March 26, Faculty for Business Informatics and Integrated Systems Management MEPhI held a foresight-seminar on Business Informatics and Digital Governance for Sustainable Development. It dedicated to socio-economic aspects of the artificial intelligence development and big data processing. The seminar was attended by representatives of Russian universities and universities of the Republic of Kazakhstan.
Dean of FBIISM Alexander Putilov noted that since the last meeting there have been significant changes in the state system of technological development management: It would be created the Government Commission for Scientific and Technological Development of the Russian Federation.
The establishment of such institution should facilitate the large-scale implementation of advanced technologies, in particular end-to-end digital technologies.
Dmitry Smirnov, Associate Professor of the Department of Regional and Innovative Economics of MEPhI, presented forecasts and views on the socio-economic consequences of the scalingartificial intelligence. The history of concept “Artificial intelligence – AI” and the changes in approaches to its study and implementation show that each period of technological development was marked by a number of achievements. At the same time, threats of massive job losses, ethics in the field of AI and law enforcement issues have been discussed in the scientific community for decades. Examples of using AI in the real economy are numerous. А significant part of jobs, mainly in management, can be replaced in the future by systems using AI. At the same time, technological progress creates new types of jobs. We can observe an increase in the demand for cognitive and socio-behavioral skills of workers, not related to routine work. It led to the emergence of a new term “emotional intelligence”. This radical change in the labor market is a challenge to the whole education system, which should prepare young people specifically for new formats of work.
Olga Moiseeva, Associate Professor of the Department of Economics and Management in Industry, MEPhI, reported about lack of legal regulation such areas as foundations, conditions and features of development, launch, operation, integration into other systems and control over the use of AI technologies. Risk classification shows that at the stage of AI machine learning, legal risks arise in the process of collecting, storing and analyzing data by artificial intelligence systems. For example, the problems of protecting personal data used in training AI programs. Another type of risk arises at the stage of operation: liability issues, the issue of ownership of exclusive rights to the results created by AI, etc.
Petr Bochkarev, assistant of the Department of Economics and Management in Industry, MEPhI, payed attention to prospects, technical features and organizational aspects of the large-scale development of data processing centers (DPCs). The scale of the global data center industry can be illustrated by the following fact: only the total heat generated by the servers of all data centers on the planet would be enough to compensate for the annual electricity consumption of such a state as the UK. In the south of Moscow, a campus for several data centers will be built soon, which will become the largest in Europe. By the end of 2021, the IT load of all Moscow commercial data centers will be about 260 MW. Thus, we see the creation of a new large-scale industry for processing and analyzing big data before our eyes. Training of students for it is the task of a promising educational complex.
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