Artificial Intelligence – the (un)desired revolution?

2017 ◽  
Vol 62 (2) ◽  
Author(s):  
Florika Fink-Hooijer
Keyword(s):  
Artificial Intelligence ◽  
Human Factor ◽  
Budget Constraints ◽  
Lingua Franca ◽  
Current Increase ◽  
Highly Skilled ◽  
Current Context

AbstractIn the current context of budget constraints and English being more and more a lingua franca, all linguistic services have to reflect on strategies to secure their future. Artificial Intelligence (AI) is a key element of this reflection. Whilst it is obvious that AI is an opportunity, many consider its spread as a possible threat for the interpreter’s profession. Despite impressive progress, AI is not a substitution for highly-skilled linguists who operate in sensitive contexts. Quality is not sufficient yet. Confidentiality is a challenge especially given the current increase in cyber criminality. Other aspects to take into consideration are equality of languages and of course the human factor.

Artificial Intelligence II: The Human Factor

10.1111/an.6 ◽  
2016 ◽  
Vol 57 (6) ◽  
pp. e62-e63
Author(s):  
Vincent C. Paladino
Keyword(s):  
Artificial Intelligence ◽  
Human Factor

scholarly journals The next step for Artificial Intelligence in a globally connected economy

2021 ◽  
Vol 129 ◽  
pp. 04001
Author(s):  
Dumitru Alexandru Bodislav ◽  
Florina Bran ◽  
Carol Cristina Gombos ◽  
Amza Mair
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Human Factor ◽  
Value Added ◽  
Point Of View ◽  
Business Analytics ◽  
Economic Point ◽  
Technological Breakthrough ◽  
Big Picture ◽  
The Difference

Research background: This research paper represents an overview of what artificial intelligence is, what are its roots, and what is the next big thing regarding the domain. In this paper we try to highlight how the domain is growing and what is the difference between the ideology, the business factor and the human factor. We try to create a big picture on the entire phenomenon by creating a parallel between machine learning, artificial intelligence and the influence of technological breakthrough from a hardware perspective. Purpose of the article: The paper is built as a tool in understanding technology, globalization and the pathway to success and scientific glory for what can be seen as the industry of artificial intelligence. The tools presented in the research have the purpose to create an easier path to how we can develop this domain by accelerating theoretical processing and business analytics that come together to form the next level of machine learning/artificial intelligence; research and development, everything being filtered from an economic point of view. Methods: The used research method is based on fundamental analysis of the artificial intelligence domain and its purpose in the complexity of globalization and economic development. Findings & Value added: The paper tries to offer a tool for building a better understanding of the next decade in the domain of artificial intelligence.

scholarly journals APPROACHES BASED ON ARTIFICIAL INTELLIGENCE FOR WATER SUPPLY SYSTEMS

2021 ◽  
Vol 1 (2021) ◽  
pp. 5-9
Author(s):  
Gabriela Andrei
Keyword(s):  
Artificial Intelligence ◽  
Water Supply ◽  
Fish Farming ◽  
Raw Material ◽  
Water Supply Systems ◽  
Quality Of Water ◽  
Current Context ◽  
Concrete Solution ◽  
Supply Systems

"In the current context of the existence of life, of the development of human activities, water has a double importance: - environmental factor, generator of ecological systems - “raw material” for certain uses (drinking water, industrial water, fish farming, leisure, etc.) The current problems in the field of water supply are due to: - exponential increase of water demand; - the limited water resources and their uneven distribution, which requires large and expensive works of development and accumulation of water; - deterioration of the quality of water sources, as a result of human activity and the emergence of industries that discharge waste, containing very stable impurities, difficult to remove from water, in the processes of water purification or treatment; - increase in standards on quality conditions that must be met by water delivered to the population [1]. For the extensive and intensive development of water supplies, a concrete solution, already existing in the area of Artificial Intelligence is given by heuristic methods and Evolutionary Calculus. This article provides an overview of the role of the most important metaheuristics, based on evolutionary concepts - Evolutionary computation and behavioral patterns inspired by biology - Swarm calculus) in the case of of water supply systems and their subsystems, with exemplification in the case of a model network (Scheme of the network distribution in Hanoi), taking into account water quality (its treatment with chlorine). "

scholarly journals Tragedy of Errors- An Analysis of Human Factor in Medical Errors

2020 ◽  
Author(s):  
Manika Agarwal ◽  
Sharat Agarwal
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Adverse Event ◽  
William Shakespeare ◽  
Medical Errors ◽  
Human Factor ◽  
Surgical Intervention ◽  
Economic Benefits ◽  
Medical Professional ◽  
Selection For

William Shakespeare wrote a play “Comedy of error”, but this is about medical error which may often result in tragic outcome. We often read about medical errors and sometimes realise in our clinical practice that an error has been committed by us or our team leading to an adverse event. Sometimes, these errors are due to lack of knowledge and sometimes due to improper communication and misinterpretations. The aim of this manuscript is to analyse the causes of medical errors, which may vary from irrational prescription, attitudes of arrogance in seniors and juniors leading to communication gaps, bad hand writings or wrong patient selection for surgical intervention for economic benefits. Use of Artificial intelligence, Data mining and Medical informatics can rectify errors of improper assessment and irrational prescription. Self-introspection and spirituality can prevent errors arising from attitudes of arrogance, fear, greed and pride in medical professional.

scholarly journals IOT - FROM NEW MARKET OPPORTUNITIES AND BUSINESS MODEL TO SECURITY CONCERN // IOT – OD NOVIH TRŽIŠNIH PRILIKA I POSLOVNOG MODELA DO BRIGE O SIGURNOSTI

2017 ◽  
Vol 14 (2) ◽  
Author(s):  
Sanel Jakupović ◽  
Vesna Novaković
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Everyday Life ◽  
Business Model ◽  
Human Factor ◽  
Basic Principles ◽  
The Everyday ◽  
Market Opportunities ◽  
Security Concern

In terms of innovations and their contribution to increasing the quality of everyday life of individuals, as well as the improvement of the business of companies, it is undoubtedly necessary to significantly consider the concept of “Internet of Things”. In this paper, the basic principles of Internet of Things will be presented, as well as the possibilities of applying this concept in order to improve the everyday business of companies. Bosnia and Herzegovina is far from the rest of the economies in which IoT is in use and the application of which is constantly increasing. “Internet of Things” makes things “think”, and “be smart”. Through the collection of data, the algorithms of artificial intelligence and their networking, the circle of communication between things is closed, and the human factor is excluded.

Robots, Digital Twins of People, Dialectical Models of Society and Economics

2020 ◽  
Vol 144 ◽  
pp. 58-67
Author(s):  
Oleg L. Figovsky ◽  
◽  
Oleg G. Pensky ◽  
Keyword(s):  
Mathematical Modeling ◽  
Artificial Intelligence ◽  
Mathematical Models ◽  
Virtual World ◽  
Mathematical Theory ◽  
Human Factor ◽  
Point Of View ◽  
Human Society ◽  
Psychological Behavior ◽  
Digital Twins

Current mathematical models of economics practically do not take into account the human factor when making management decisions and applying them to practice. Therefore, the creation of a mathematical theory of general human psychology, the dialectical development of human society and macroeconomics are becoming particularly relevant at present. This paper describes the main results of the mathematical modeling of psychological behavior, so-called digital twins, which are psychological analogs of people. Theorems explaining the dangers of artificial intelligence for people from the mentality point of view are formulated. We propose general models of dialectical development of the virtual world for digital twins, human society and macroeconomics.

Financial Technologies (FinTech), Instruments, Mechanisms, and Financial Products in the Current Context of Artificial Intelligence and Globalization

2021 ◽  
pp. 22-45
Author(s):  
Otilia P. Manta
Keyword(s):  
Artificial Intelligence ◽  
Financial Services ◽  
Holistic Approach ◽  
Virtual Space ◽  
Financial Inclusion ◽  
Financing System ◽  
Financial Innovations ◽  
Financial Products ◽  
Current Context ◽  
The One

The holistic approach of the phenomenon of expansion of financial innovations, respectively of current financial technologies, as otherwise abbreviated to FinTech, knows very specific elements and is adapted to the global financial context, and lately, the share of financial services in the virtual space is dominant compared to their traditional form. Moreover, this new financing instrument has arisen mainly due to the need to streamline the financing system, based on technology, either to provide financial services adapted to the current needs of consumers (especially those who are in need of financing, this is also the real reason for the FinTech coupling of the financial inclusion of the financially excluded), as well as the design of new financial products that are reliable and responsive to the market. The financial space is dual, presenting two often contradictory assumptions (all channels, stocks, and collection flow, on the one hand; and all entities, channels, stocks, and investment flows), and in the current context of digital financial technologies, this is in virtual space.

Significance Messages: An Integrated Display Concept

1988 ◽  
Vol 32 (19) ◽  
pp. 1350-1354 ◽  
Author(s):  
David D. Woods ◽  
Glenn Elias
Keyword(s):  
Artificial Intelligence ◽  
Automatic System ◽  
Contextual Factors ◽  
Specific Knowledge ◽  
Raw Data ◽  
Domain Specific ◽  
Continuous Parameter ◽  
Specific Parameter ◽  
Current Context ◽  
Integrated Display

This paper describes one integral display concept — Significance Messages — which communicates the significance of a numerical value of some continuous parameter. The Significance Messages System combines a variety of kinds of raw data using software techniques from artificial intelligence in order to build a qualitative scale that communicates what a numeric value of some parameter means about the state of the application world given the current context. The Significance Messages concept is built as a generic “shell” that knows about different kinds of qualitative states, contextual factors, and heuristics to focus on relevant data. The designer enters domain specific, parameter specific knowledge about alarm setpoints, automatic system setpoints, etc. and about the specific contextual factors that are relevant to the interpretation of that parameter in order to create a particular Significance Message Display for a particular application.

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