This point of view was expressed by the Chairman of the Board of ROCIT, Deputy Chairman of the State Duma Committee on Information Policy, Information Technology and Communications Anton Gorelkin during the conference "Artificial Tomorrow: Neuronavigator". As an example of such targeted regulation, the deputy head of the relevant committee of the lower house of the Russian parliament named the law on recommendation services, the preparation of which took three years and was accompanied by a series of consultations with representatives of government agencies, public organizations and businesses. malaysia whatsapp number database
Anton Gorelkin named deepfakes as another significant topic for regulation, but caution is also needed here, despite all its importance. For example, in his opinion, marking the relevant content will not make sense, since the authors of malicious content will obviously not comply with the relevant requirements.
Union as a negative example. The result of its application was the flight of AI-related businesses from European jurisdictions. "We, Russia, need to avoid any artificial restrictions in every possible way. Otherwise, we will not win the "AI race" that is going on in the world," the deputy emphasized.
Chairman of the Board of Sberbank PJSC German Gref spoke in a similar vein at the Finopolis 2023 financial technology forum: "The most important thing is to try not to overregulate this area. This is the most the state can do. We see examples where the US and China use AI and at the same time create all the conditions for its development without excessive regulation. But there is also the European approach, where first comes the digital directive, and then the principles of regulating AI, which have actually killed its development. Therefore, all large companies are trying to relocate outside the European Union. It is very important for us not to repeat this."
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Financial Market Opposes Regulation of Artificial Intelligence Technologies
Players in the banking industry in Russia agree that the state should not interfere in the regulation of artificial intelligence technologies. Experts believe that in order to become a leader in the global arena in the field of artificial intelligence, businesses must be given the opportunity to develop independently.
At the same time, as Yulia Gurieva, a lecturer at the National Research University Higher School of Economics, a lawyer, and a managing partner at Seven Hills Legal LLC, emphasized, labeling does not solve the key issue - trust in AI. As shown by a study conducted by IConText Group LLC in October 2023, the results of which were announced by Ekaterina Zdesenkova, a managing shareholder of IConText Group, only 3% of survey participants said they fully trusted AI. At the same time, 44% of respondents expressed concerns about data security, and 23% admitted not understanding how AI works. 56% of those who took part in the study expect various negative manifestations from the use of AI - for example, unpredictable errors, leaks of commercial or personal data.
Yulia Gurieva called for more active use of the already accumulated legal base - in particular, legislation on the protection of personal data, during the processing of which a certain culture is being formed before our eyes. In her opinion, the main problem is not in these documents themselves, but in law enforcement practice. According to Yulia Gurieva, compliance with copyright legislation is more difficult, especially given that the corresponding verification is extremely complex and labor-intensive.
Chairman of the subcommittee on digital economy of "Business Russia", managing partner of OOO "Globus IT" Alexey Mostovshchikov stated that there is a lack of conceptual apparatus. In his opinion, this problem could be solved by a digital code, and not only for AI, but also for other technologies. According to one of the main initiators of the creation of this document - the head of the relevant committee of the State Duma Alexander Khinshtein, the main task of the digital code is, among other things, to comprehensively prescribe all the basic concepts and phenomena in each of the areas, including AI, communications, information, personal data, the Internet, the media, etc.
Anton Gorelkin cited the consequences of the directive approach used by the European
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