DOI: 10.33917/es-4.196.2024.46-53

The purpose of this article is to identify criteria for the influence of artificial intelligence technologies in payment systems on the consciousness of the population as their main user. When reviewing technologies, methods of scientific analysis were applied: the method of analysis and synthesis, abstraction, generalization, description, induction, deduction.

The article dwells on assessment of the implementation and impact of technologies based on artificial intelligence. It is shown that at the moment a situation has arisen where artificial intelligence tools have the opportunity to manipulate human consciousness. Accelerated development of human interaction in the virtual space resulted in both positive and negative consequences of the use of artificial intelligence technologies in payment systems within the framework of the new social reality. Based on the identified advantages and disadvantages, criteria for the impact of artificial intelligence technologies on the consciousness of the population were discovered and identified.

References:

1. Velichkovskiy B.B. Soznanie [Conscience]. Bol’shaya rossiyskaya entsiklopediya, available at: https://bigenc.ru/c/soznanie-f1153b

2. Tekhnologii iskusstvennogo intellekta i mashinnogo obucheniya [Artificial Intelligence and Machine Learning Technologies]. NIU VShE, 2021, 5 marta, available at: https://hsbi.hse.ru/articles/tekhnologii-iskusstvennogo-intellekta-i-mashinnogo-obucheniya/

3. 12 variantov ispol’zovaniya II i mashinnogo obucheniya v finansakh [12 Ways to Use AI and Machine Learning in Finance]. Generativnyy analiz dannykh, 2020, 10 aprelya, available at: https://zephyrnet.com/ru/12-use-cases-of-ai-and-machine-learning-in-finance/

4. Fedorov D. Chto takoe NLP? [What is NLP?]. Renovatsio, 2023, available at: https://renovatsio.rf/media/natural-language-processing

5. Vot polozhenie NLP v finansakh. Ty dolzhen znat’ [Here is the Position of NLP in Finance. You Should Know]. Shaip, 2023, 26 oktyabrya, available at: https://ru.shaip.com/in-the-media/here-are-the-applications-of-nlp-in-finance-you-need-to-know/

6. Perspektivy razvitiya chat-botov v bankovskom sektore: golosovoy II, prognozirovanie povedeniya, analiz nastroeniya [Prospects for the Development of Chatbots in the Banking Sector: Voice AI, Behavior Forecasting, Mood Analysis]. TalkBank, 2022, 21 yanvarya, available at: https://business.talkbank.io/tpost/ lp3s2ai1c1-perspektivi-razvitiya-chat-botov-v-banko

7. Vershinin O. Neyronnye seti: printsip raboty, perspektivy i 159 sovremennykh neyronok [Neural Networks: the Principle of Operation, Prospects and 159 Modern Neurons]. Neiros, 2023, 17 noyabrya, available at: https://neiros.ru/blog/automation/neyronnye-seti-printsip-raboty-perspektivy-i-159-sovremennykhneyronok/

8. Kak rabotayut neyronnye seti? [How do Neural Networks Work?]. Productstar, 2023, 16 marta, available at: https://blog.productstar.ru/kak-rabotayutnejronnye-seti/

9. Prediktivnaya analitika: instruktsiya po primeneniyu II pri prognozirovanii [Predictive Analytics: Instructions for using AI in Forecasting]. SBER Pro, 2023, 23 avgusta, available at: https://sber.pro/publication/prediktivnaya-analitika-instrukcziya-po-primeneniyu-ii-pri-prognozirovanii/

DOI: 10.33917/es-3.195.2024.102-113

The author of the article summarizes the key current trends in human resource management over the past two decades, regularly analyzed by various research and consulting companies.

Based on the assessments of a number of foreign and Russian experts in the field of HRM, three groups of these trends and factors, that determined them, are identified: 1) related to the changed business context, the labour market and the need for qualified personnel; 2) related to new digital technologies and tools; 3) related to organizational culture and HRM ideology.

These trends have a significant impact on human resource management strategy.

References:

1. How to Foster Collaboration Within Hybrid Working Teams. My HR futureб available at: https://www.myhrfuture.com/digital-hr-leaders-podcast/25/10/2022

2. Akhmetov S. Trendy rossiyskogo HR: vyzovy i novye IT-tekhnologii [Russian HR-trends: Challenges and New IT Technologies]. RBK Trendy, 2023, 20 oktyabrya, available at: https://trends.rbc.ru/trends/social/20/10/2023

3. Issledovanie: kak krupnyy rossiyskiy biznes budet razvivat’ tekhnologii udalennoy raboty [The Study: How Large Russian Business Will Develop Distant Work Technologies]. S-News, 2021, 26 yanvarya, available at: https://www.cnews.ru/articles/2021-01-26_cnews_analytics/ 27/01/2021

4. Issledovanie gibridnogo formata raboty NAFI i Logitech [The Study of Gibrid Formats of Work by NAFI and Logitech]. ]. IXBT, 2022, 17 fevralya, available at: https://ixbt.pro/news/2022/02/17/

5. Making Wellbeing Part of a Company’s DNA. AON, available at: https://www.aon.com/en/insights/articles/01/06/2023

6. 7 trends that will define HR in 2024. Сulture Аmp., available at: https://www.cultureamp.com/blog/21.01.2024

7. Analitiki soobshchili o sokrashchenii chisla vakansiy s “udalenkoy” v Rossii [Analytics Announced Decrease of Distant Vacancies in Russia]. RBK, 2023, 17 aprelya, available at: https://www.rbc.ru/society/17/04/2023/643c8f859a79476052551264

8. 4 Day Week Global. 4 Day Week Global, available at: www.4dayweek.com

9. “Ofisnye bolezni”: kak zdaniya vredyat nashemu zdorov’yu [Office Diseases: How Buildings Harm Our Health]. RBK Trendy, available at: https://trends.rbc.ru/trends/social/636e47459a79470dabbbf55f?from=copy

10. Global Risk Management Survey 2023–2024. AON, available at: https://www.aon.com/en/insights/reports/

11. Van Vulpen E., Veldsman D. 11 HR Trends for 2024: Elevating Work. AIHR, available at: https://www.aihr.com/blog/hr-trends

12. Defitsit kadrov v Rossii i chto budet s rynkom truda v 2024 godu [The Workforce Deficit in Russia and What Will Be With the Labor Market in 2024]. Audit-IT, available at: https://www.audit-it.ru/articles/personnel/

13. Tarasova O. Trendy HR 2024 [HR Trends 2024]. VC.RU, 2024, 9 fevralya, available at: https://vc.ru/hr/1023582-trendy-hr-2024/09/02/2024

14. Tverskoy D. HR-trendy 2023 goda. Agressivnyy khanting, tikhiy naem, defitsit krizis-menedzherov [HR-trends 2023. Aggressive Hunting, Quite Hiring, Deficit of Anti-Crisis Managers]. SBER-Pro, 2023, 31 avgusta, available at: https://sber.pro/digital/publication/hr-trendy-2023-goda/31/08/2023

DOI: 10.33917/es-2.188.2023.90-93

Tougher requirements for the accuracy and reliability of the system time scale (TS) in the electric power industry, as well as changes in the geopolitical situation, have caused the need to revise the existing methods of TS organization. “UEC” JSC has developed the Methodological Recommendations “Unified Precision Time System at High-Voltage Network Facilities”. The article reveals the current method of organizing power facilities of the power grid companies in the Russian Federation. Results of the analysis of the need to improve reliability of the TS organization and to ensure the required accuracy of time signals, as well as proposals for their implementation are presented.

References:

1. Bogdanov E.A., Ivanov A.M., Kol’tsov P.A., Shvarts M.L. Edinaya sistema sinkhronizatsii vremeni v tekhnologicheskikh sistemakh energoob”ektov i DTs RSK [Unified Time Synchronization System in Technological Systems of Power Facilities and RSK DC]. Moskovskii energetik, 2022 (dekabr’), no 10(144), pp. 6–7.

2. Ryzhkov A.V., Donchenko S.I., Ivanov A.V., Koltunov M.N., Savchuk A.V., Shvarts M.L. Peredacha signalov vremeni po seti svyazi obshchego pol’zovaniya [Transmitting Time Signals over a Public Communications Network]. Elektrosvyaz’, 2010, no 12, pp. 42–47.

3. Ryzhkov A.V., Shvarts M.L., Aladin V.M., Isupov A.V. Opyt vnedreniya sistem chastotno-vremennogo obespecheniya setei svyazi [Experience in Implementing Systems for Time-Frequency Support of Communication Networks]. T-Comm: Telekommunikatsii i transport, 2022, vol. 16, no 7, pp. 21–28.

4. Zuev E.V., Ryzhkov A.V., Pelyushenko A.S., Samatov V.I., Sakharov B.A. Pervichnyi etalonnyi istochnik VCH-1008C sistemy taktovoi setevoi sinkhronizatsii v tsifrovykh setyakh [VCH-1008C Primary Reference Source for Network Clock Synchronization System in Digital Networks]. Elektrosvyaz’, 2013, no 2, pp. 32–33.

5. Shvarts M.L., Ryzhkov A.V. Sovremennye tendentsii razvitiya sistem setevoi sinkhronizatsii v setyakh elektrosvyazi. Ot pleziokhronnykh do kogerentnykh setei [Modern Trends in the Development of Network Synchronization Systems in Telecommunication Networks. From Plesiochronous to Coherent Networks]. Sistemy sinkhronizatsii, formirovaniya i obrabotki signalov, 2021, no 4, pp. 27–38.