{"title":"The Deficiency of “Redline/Greenline” Approach to Risk Management in AI Applications","authors":"A. Kuleshov, A. Ignatiev, A. Abramova","doi":"10.1109/ent52731.2021.00015","DOIUrl":"https://doi.org/10.1109/ent52731.2021.00015","url":null,"abstract":"Expanding application of technologies classified as AI draws public attention to associated risks and effective measures for risk mitigation. Policy makers in most countries are currently looking for effective approaches to securing the public interest against AI-related risks and unforeseen consequences of widening AI use. In this connection, there is widespread talk of defining “red” and “green” areas for AI technologies, frequently leading to calls to draw “red lines” and “green lines” for technological innovation. The authors draw on the analysis of AI related risks in a number of international fora and question the efficacy of this “redline/greenline” approach in terms of making the benefits of AI available in the society, while not impeding innovation and technological progress. The authors propose that a more nuanced approach is required, which could involve certification of AI system in sensitive applications, or could apply codified ethical principles to derive specific rules for AI use dependent on the risks created by AI in a particular application.","PeriodicalId":439561,"journal":{"name":"2021 International Conference Engineering Technologies and Computer Science (EnT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123299510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of technologies for using carbon dioxide emissions by producing methanol as a prerequisite for the transformation of energy","authors":"A. Pilipenko","doi":"10.1109/ent52731.2021.00032","DOIUrl":"https://doi.org/10.1109/ent52731.2021.00032","url":null,"abstract":"In connection with forecasts of the inability of renewable energy at the current pace of its development, to completely replace traditional energy sources by 2050, the problem of their decarbonization arises. With the aim of removing the greenhouse gas CO2, the technology of carbon capture and storage of carbon dioxide CCS (carbon capture storage) from the emissions of thermal power plants (TPP) is spreading around the world. However, there is no commercial interest in CO2 disposal and CCS is not developing fast enough. More than 30,000 Mt. of emissions are made in the world annually. But actually caught by CCS technology about 40 Mt. CCS technology involves costly processes, including drilling wells in the right place to great depths. A large-scale process of converting CO2 into fuel (methanol) with the possibility of generating electricity may turn out to be less costly and more efficient. An additional incentive to expand the ways of utilizing CO2 can be the choice of the same fuel as a means of long-term accumulation of excess electricity in renewable energy sources. A favorable condition for such a decision is the territorial proximity of thermal power plants or industrial enterprises that burn hydrocarbons. We consider the development of technologies for producing low carbon footprint methanol, methanol reforming and high power fuel cell technology.","PeriodicalId":439561,"journal":{"name":"2021 International Conference Engineering Technologies and Computer Science (EnT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124966125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mariia Sigova, I. Klioutchnikov, Oleg I. Klioutchnikov
{"title":"Long-Tail Data-Driven Recommendations - Innovative Solutions for Financial Recommender Systems","authors":"Mariia Sigova, I. Klioutchnikov, Oleg I. Klioutchnikov","doi":"10.1109/ent52731.2021.00023","DOIUrl":"https://doi.org/10.1109/ent52731.2021.00023","url":null,"abstract":"Social media financial recommender systems are demonstrating their ability to better address the interests of netizens and offer greater promise for better meeting their financial service needs. This article discusses the role of long-tail data from network users in financial recommender systems. Long-tail data is supposed to improve the accuracy of financial recommendations, expand the customer base, and increase the availability of financial services. To do this, consider the model of operation of data of long tails (LTD) through verification and correction by discriminator systems (DM) prepared by generative filters (GM) of financial recommendations (R): LTD → DM → GM → R.","PeriodicalId":439561,"journal":{"name":"2021 International Conference Engineering Technologies and Computer Science (EnT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128629247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On construction of bi-regular circulant matrices, relating to MDS matrices","authors":"S. S. Malakhov, M. Rozhkov","doi":"10.1109/ent52731.2021.00016","DOIUrl":"https://doi.org/10.1109/ent52731.2021.00016","url":null,"abstract":"The objective of this work is to design bi-regular circulant matrices with the maximum number of occurrences of an arbitrary element. The reason to examine bi-regular matrices is that any MDS matrix is necessarily the bi-regular one, and MDS matrices are substantial to cryptography. Simultaneously, the reason to maximize the number of occurrences of an arbitrary element for matrices is that such matrices allow to perform matrix-vector multiplication more efficiently. The results obtained include the upper bound of the number of arbitrary element occurrences for which the bi-regularity of the circulant matrix preserves. Furthermore, necessary and sufficient conditions for the bi-regularity of the circulant matrix is derived. Those conditions provide with the efficient procedure of bi-regularity property verification, which is described within the paper. Additionally, paper lists several bi-regular circulant matrices templates of order up to 31 with the maximum number of arbitrary element occurrences. It was revealed that there are no square templates of order 32 of the structure mentioned.","PeriodicalId":439561,"journal":{"name":"2021 International Conference Engineering Technologies and Computer Science (EnT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131325227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"About the Evolution of the Concept of “Artificial Intelligence”","authors":"V. Zakharov","doi":"10.1109/ent52731.2021.00010","DOIUrl":"https://doi.org/10.1109/ent52731.2021.00010","url":null,"abstract":"The article briefly examines the history of the emergence of a scientific and practical field called artificial intelligence. An attempt is made to trace the evolution of the very concept of “artificial intelligence” and to clarify some of its constituent parts. The ideas and methods in the field of artificial intelligence developed by the school of Professor V.K. Finn are summarized. In particular, the formulation of 13 intellectual abilities that characterize the intellectual process inherent in natural intelligence is given. The main provisions of the JSM-method of automated research support are briefly stated, examples of its use in intelligent computer systems IS-JSM are given.","PeriodicalId":439561,"journal":{"name":"2021 International Conference Engineering Technologies and Computer Science (EnT)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133751388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On popularization of scientific developments and use of free and open source software","authors":"S. Kratov, Olga Sokolova","doi":"10.1109/ent52731.2021.00014","DOIUrl":"https://doi.org/10.1109/ent52731.2021.00014","url":null,"abstract":"The problem of popularization of scientific developments (simulation systems, programs and databases) to consumers has been investigated. The importance of using open source software in high-tech programming has been noted. The activity of the Fund of Algorithms and Programs of the Siberian Branch of the Russian Academy of Sciences (FAP SB RAS) has been considered. The problems of work of FAP have been described: popularization of free and open source software, distribution of repositories of high-tech software packages, promotion of scientific developments to potential consumers.","PeriodicalId":439561,"journal":{"name":"2021 International Conference Engineering Technologies and Computer Science (EnT)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132370089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oluwatobi Oyinlola, Kayalvizhi Jayavel, D. Mukanyiligira
{"title":"Smart Bracelet: With Handshake Recognition For Information Exchange","authors":"Oluwatobi Oyinlola, Kayalvizhi Jayavel, D. Mukanyiligira","doi":"10.1109/ent52731.2021.00031","DOIUrl":"https://doi.org/10.1109/ent52731.2021.00031","url":null,"abstract":"Digital bracelets or wrist watches, which include functionalities like calculators and unit converters, were commercially available for decades. Due to the technological advancements, they are equipped with data transferring facilities and becoming multifunctional. This paper presents design of a smart bracelet, which can identify the pairs of people during handshakes and exchange their contact details with each other. An advanced system was implemented to detect pairs of handshakes when happening concurrently as multiple pairs of people may do hand shaking at the same time when the crowd size is large in a gathering. A peak detection algorithm and a top-k algorithm were used to identify the matching handshakes by processing data. Communication links were also established using the Bluetooth Low Energy (BLE) technology to exchange contact information of people who are handshaking with each other. Finally, a smart bracelet with multiple functionalities was manufactured and its performance was evaluated.","PeriodicalId":439561,"journal":{"name":"2021 International Conference Engineering Technologies and Computer Science (EnT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131164612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}