scholarly journals Translation quality management in the AI Age. New technologies to perform translation quality assurance operations

Author(s):  
Jennifer Vela-Valido

This article presents a selection of some of the latest technologies to perform translation quality management operations such as quality assurance and translation quality assessment using artificial intelligence and machine learning; it also discusses the impact of these technological advances in the latest academic research trends and the translation industry.

Nafta-Gaz ◽  
2021 ◽  
Vol 77 (3) ◽  
pp. 208-214
Author(s):  
Michał Pajda ◽  
◽  
Wojciech Mazela ◽  

The aim of the work was to present the issue of eco-efficiency, based on the PN-EN ISO 14045:2012 standard in relation to the production of fatty acid methyl esters (FAME). The ecoefficiency analysis takes into account economic and environmental aspects in the improvement of products and processes / technologies. Eco-efficiency considers the product and technology throughout the life cycle, from the construction phase, through use to decommissioning. The impact on the natural environment is assessed on the basis of: consumption of energy, materials, dust and gas emissions, waste and sewage. Total costs include: production costs, raw material costs, costs during the use phase including maintenance, repair and operating costs, product disposal or recycling. The eco-efficiency analysis is helpful in making decisions regarding the selection of a new product or designing a new technology, and enables the selection of the variant that is the most economical and has the least possible impact on the natural environment. These issues are particularly important in the case of biofuels. The rapid growth of their production and the European Union’s policy, which aims to increase the share of energy from renewable sources, cause concerns of many experts regarding the threats related to the production of biofuels, both for the environment and food security. In particular, efforts are made to minimize the amount of waste and residues by implementing the idea of a circular economy. This approach promotes the development of new technologies that are more environmentally friendly. Due to the regulations set out in the RED and RED II Directives, there is a chance that the biofuels will have a less negative impact on the environment. This results from the obligation to certify compliance with the sustainability criteria, which is carried out by voluntary systems recognized by the European Commission, such as the KZR INiG System.


2018 ◽  
Vol 18 (71) ◽  
pp. 55-87 ◽  
Author(s):  
Juan Gustavo Corvalán

This article addresses the impact of the digital era and it specifically refers to information and communication technologies (ICT) in Public Administration. It is based on the international approach and underscores the importance of incorporating new technologies established by the United Nations and the Organization of American States. Thereon, it highlights the Argentine Republic national approach towards ICT, and how it has moved towards a digital paradigm. It then emphasizes on the challenges and opportunities that emerge from the impact that artificial intelligence has in transforming Public Administration. Finally, it concludes that the key challenge of the Fourth Industrial Revolution is to achieve a boost towards a Digital and Intelligent Administration and government, which promotes the effectiveness of rights and an inclusive technological development that assures the digital dignity of people.  


2021 ◽  
pp. 1-53
Author(s):  
Anton Korinek ◽  
Joseph Stiglitz

Progress in artificial intelligence and related forms of automation technologies threatens to reverse the gains that developing countries and emerging markets have experienced from integrating into the world economy over the past half century, aggravating poverty and inequality. The new technologies have the tendency to be labor-saving, resource-saving, and to give rise to winner-takes-all dynamics that advantage developed countries. We analyze the economic forces behind these developments and describe economic policies that would mitigate the adverse effects on developing and emerging economies while leveraging the potential gains from technological advances. We also describe reforms to our global system of economic governance that would share the benefits of AI more widely with developing countries.


Osvitolohiya ◽  
2017 ◽  
pp. 143-149 ◽  
Author(s):  
Iryna Sokolova ◽  

The Bologna Reform Process, which became the focal point of reform in most European countries, brought a wide range of quality concerns into the central arena of higher education discourse. Quality Assurance processes were supposed to support an increased institutional attention. The aim of this paper is to create a better the EUA's Input to EHEA Policy Making. EUA carries out a variety of activities that are underpinned by the belief that the main responsibility for quality assurance lies within higher education institutions. EUA Policy Statement on Quality and Quality Assurance in the European Higher Education Area аre identified and described in the article.It is determined the impact of the EUA in shaping European quality culture through the development of educational policy and decision-conceptual documents, the annual European Quality Assurance Forums to consolidate internal and external stakeholders, expand the dialogue format in the context of the EHEA changing landscape and the best practices implementation for quality assurance. The keynote presentations of the EQAF (2006-2016) focused on current trends in quality assurance. The quality culture approach promoted by EUAdiffers clearly frommore traditional quality management strategies, shifting attention to more development-oriented and value-based aspects. Based on the results of the projects different approaches towards quality, quality culture, or formal quality assurance and accreditation procedures are focusedin the paper. The Institutional evaluation programme in higher education, realizedin 45 countries, is described. Other programs and projects that define the tasks of quality management are characterized in thepaper. Trends in quality assurance are presented in the article taking into account the national and European contexts. This paper outlines EUA key objectives for 2017-2019. Support the creation of thequality culture in higher education institutionsis one of them.


Archeion ◽  
2021 ◽  
Vol 122 ◽  
Author(s):  
Robert Stępień

W artykule przedstawiono możliwości zastosowania technologii sztucznej inteligencji oraz blockchain w działalności archiwalnej. Przedmiotem analizy były wyniki projektów badawczych realizowanych w ostatnich latach z udziałem zagranicznych archiwów. Tekst artykułu powstał w oparciu o przegląd anglojęzycznej literatury przedmiotu. Szczególną uwagę zwrócono na informacje zawarte w raportach i sprawozdaniach z badań poświęconych problematyce wykorzystania nowych technologii na gruncie archiwalnym. Przedstawione w artykule przykłady dowodzą, że sztuczna inteligencja i blockchain znajdują zastosowanie w różnych obszarach działalności współczesnych archiwów. Technologie na nich oparte mają potencjał, aby zautomatyzować procesy wartościowania i selekcji dokumentacji elektronicznej oraz wspierać identyfikację danych wrażliwych zawartych w e-dokumentach. Innym polem ich zastosowania są systemy wyszukiwania i udostępniania materiałów archiwalnych w postaci cyfrowej, jak też platformy do rozpoznawania tekstu i struktury dokumentów historycznych. Blockchain, czyli technologia rozproszonego rejestru i łańcuchów blokowych, pozwala zachować integralność i autentyczność obiektów cyfrowego dziedzictwa archiwalnego. Possibilities of using artificial intelligence and blockchain in archival activities. Review of international experiences The article presents the possibilities of using artificial intelligence and blockchain technology in archival activity. The analysis covers results of research projects carried out in recent years with participation of foreign archives. The text of the article is based on a review of literature available in English. Particular attention was given to information contained in research reports devoted to application of new technologies in archival work. The examples presented in the article prove that artificial intelligence and blockchain are used in various areas of activity of modern archives. Technologies based on them have the potential to automate the processes of evaluation and selection of electronic documents and to support identification of sensitive data contained in e-documents. Another possible field of application for such technologies are the systems for searching and accessing archival materials in digital form, as well as platforms for recognition of text and structure of historical documents. Blockchain, or distributed ledger and blockchain technology, preserves the integrity and authenticity of digital archival heritage objects.


Customers are the key to any business and the major challenge for any established business is retaining an existing customer and acquiring a new customer. One of the many ways to reduce the churn rate and increase customer retention is to improve the customer experience. As businesses are growing, their customer base is also increasing. Each and every customer is different and needs different kind of motivators to engage with the business and hence we need to understand each and every customer uniquely. Artificial Intelligence tools can blend the gap between the business and the client, creating enormous information that can prompt further comprehension of the client’s preferences. Understanding these artificial intelligence tools and how these tools can assist organizations with retaining clients and help them give better involvement to their clients is significant. However, in academic research this significant research area stays under-focussed. Hence this study tries to address this gap by proposing a conceptual model for understanding how the Artificial Intelligence tools are can help in enhancing customer experience. The narrative literature review approach has been adopted for conceptualization of the model. The study provides implications to practitioners for designing and developing AI tools such that they enhance customer experience, to managers for designing the information technology strategy of their companies, to academicians as it helps explore new technologies in the marketing domain and to the society as it will help improve customer experience thereby leading to customer satisfaction.


Author(s):  
Jonathan K. Corrado ◽  
Ronald M. Sega

Abstract Many unfortunate and unintended adverse industrial incidents occur across the U.S. each year, and the nuclear industry is no exception. Depending on the severity, these incidents can be problematic for people, the facilities, and surrounding environments. These incidents occur for a number of varying reasons, but more often than not, human error is an accomplice. This article explores whether the complexity and changing technologies, which affect the way operators interact within the systems of the nuclear facilities, exacerbate the severity of incidents caused by human error. A review of nuclear incidents in the U.S. from 1955 to 2010 reaching level three or higher on the International Nuclear Event Scale (INES) scale was conducted. The cost of each incident at facilities that had recently undergone technological changes affecting plant operator's jobs was compared to those facilities which had not undergone changes. A t-test was applied and determined a statistically significant difference between the two groups. This affirmed that technological advances at nuclear facilities that affect how operators interact within the plant system increase the severity of resulting incidents. Next, a follow-on study was conducted to determine the impact from the incorporation of new technologies into nuclear facilities. The data indicated that spending more money on upgrades increased the capacity of the facility as well as the number of incidents reported, but the incident severity was minor.


2022 ◽  
pp. 161-175
Author(s):  
Jessica Camargo Molano ◽  
Jacopo Cavalaglio Camargo Molano

In recent years, artficial intelligence, through the rapid development of machine learning and deep learning, has started to be used in different sectors, even in academic research. The objective of this study is a reflection on the possible errors that can occur when the analysis of human behavior and the development of academic research rely on artificial intelligence. To understand what errors artificial intelligence can make more easily, three cases have been analyzed: the use of the IMPACT system for the evaluation of school system in the District of Columbia Public Schools (DCPS) in Washington, the face detection system, and the “writing” of the first scientific text by artificial intelligence. In particular, this work takes into consideration the systematic errors due to the polarization of data with which the machine learning models are trained, the absence of feedback and the problem of minorities who cannot be represented through the use of big data.


2008 ◽  
Vol 22 (3) ◽  
pp. 137-144
Author(s):  
George M. Papadourakis

This special issue of Industry and Higher Education is devoted to a selection of papers from the Fifth International Conference on ‘New Horizons in Industry, Business and Education’ (NHIBE 2007) held on the island of Rhodes, Greece, in August 2007. In this introductory paper the author provides an overview of the conference, summarizes the most important presentations and offers his reflections on the conference outcomes. The key objective of NHIBE 2007 was to identify the impact of new technologies on education, business and industry. The major topics were: educational strategies; career counselling; new educational methods; industry and education; entrepreneurship; corporate finance and governance; and business strategies. Special attention was drawn to the innovative approaches and experiences developed in education in an effort to adapt teaching methods to the new technological era. Furthermore, business strategies and worldwide educational strategies were emphasized.


2021 ◽  
Vol 13 (9) ◽  
pp. 4625
Author(s):  
Roberto Pico-Saltos ◽  
Paúl Carrión-Mero ◽  
Néstor Montalván-Burbano ◽  
Javier Garzás ◽  
Andrés Redchuk

The purpose of this article is to provide an overview of academic research on professional success, using the bibliometric analysis to understand the evolution of this field between the years 1990 and 2020. The information was obtained from the publications indexed in the Scopus database, under a rigorous bibliometric process that comprises five parts: (i) criteria search of the field, (ii) selection of database and documents, (iii) inclusion and selection criteria, (iv) software and data selection, and (v) analysis and results. The results show professional success as a scientific discipline in full exponential growth, which allows us to consider the main contributions of authors, institutions, and international contributions, as well as to consider the main themes that have shaped the intellectual structure of the subject through their visualization using bibliometric maps of co-citation and co-occurrence, which combined showed eight main lines of research. The results obtained allowed us to identify patterns of convergence and divergence in various topics, which allows obtaining current and diverse information on the state of the research field’s art.


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