scholarly journals Corrigendum: Economic Aspects of Introducing Artificial Intelligence Solutions in Logistics and Port Sectors: The Data Entry Case

2021 ◽  
Vol 2 ◽  
Author(s):  
Valentin Carlan ◽  
Thierry Vanelslander
Keyword(s):  
Artificial Intelligence ◽  
Data Entry ◽  
Economic Aspects

scholarly journals Artificial intelligence in the service of man: medical, social and economic aspects

2021 ◽  
Vol 7 (3C) ◽  
pp. 619-626
Author(s):  
Svetlana Gennadevna Karamysheva ◽  
Alexander Vladimirovich Grigoriev ◽  
Elena Mikhailovna Kiseleva ◽  
Alexandra G. Polyakova ◽  
Sergey Barinov
Keyword(s):  
Artificial Intelligence ◽  
Human Activity ◽  
Negative Impact ◽  
Social Aspect ◽  
Economic Aspects ◽  
Human Capabilities ◽  
The Social ◽  
Labor Resources ◽  
A Company ◽  
Robotic Technologies

Artificial intelligence (AI) and robotic technologies have recently been increasingly used in various areas of human activity. Thus, the purpose of this paper is to consider the medical, social and economic aspects of the use of artificial intelligence in various spheres of human activity. The reason for people turning to the above-mentioned innovations is to expand a number of human capabilities, increase labor productivity, reduce the negative impact of the human factor, etc. The social aspect of the use of robotic technologies should also not be underestimated. The economic aspects of the use of artificial intelligence and robotic technologies are the possibility of optimizing the number of labor resources, replacing a whole staff of auxiliary workers, which can significantly reduce the salary fund in general and the costs of a company using such technologies, in particular.

Cost-effectiveness of AI in medicine from a clinical, technical, and economic perspective: A scoping review and a framework of analysis (Preprint)

2021 ◽  
Author(s):  
Jesus Gomez Rossi ◽  
Ben Feldberg ◽  
Joachim Krois ◽  
Falk Schwendicke
Keyword(s):  
Artificial Intelligence ◽  
Cost Effectiveness ◽  
Scientific Literature ◽  
Economic Aspects ◽  
Inclusion Criteria ◽  
Economic Perspective ◽  
Health Policy Analysis ◽  
The Cost ◽  
The Relationship ◽  
Potential Use

BACKGROUND Research and Development (R&D) of Artificial Intelligence (AI) in medicine involve clinical, technical and economic aspects. Better understanding the relationship between these dimensions seems necessary to coordinate efforts of R&D among stakeholders. OBJECTIVE To assess systematically existing literature on the cost-effectiveness of Artificial Intelligence (AI) from a clinical, technical and economic perspective. METHODS A systematic literature review was conducted to study the cost-effectiveness of AI solutions and summarised within a scoping framework of health policy analysis developed to study clinical, technical and economic dimensions. RESULTS Of the 4820 eligible studies, 13 met the inclusion criteria. Internal medicine and emergency medicine were the most studied clinical disciplines. Technical R&D aspects have not been uniformly disclosed in the studies we analysed. Monetisation aspects such as payment models assumed have not been reported in the majority of cases. CONCLUSIONS Existing scientific literature on the cost-effectiveness of AI currently does not allow to draw conclusive recommendations. Further research and improved reporting on technical and economic aspects seem necessary to assess potential use-cases of this technology, as well as to secure reproducibility of results. CLINICALTRIAL Not applicable

European Commission AI Watch initiative: Artificial Intelligence uptake and the European Geosciences Community

2020 ◽  
Author(s):  
Stefano Nativi ◽  
Max Craglia
Keyword(s):  
Artificial Intelligence ◽  
European Commission ◽  
Driving Forces ◽  
Economic Aspects ◽  
Research And Innovation ◽  
Societal Challenges ◽  
European Values ◽  
Key Driver ◽  
And Robotics ◽  
The Eu

<p>The European Commission (EC) puts forward a European approach to artificial intelligence and robotics. It deals with technological, ethical, legal and socio-economic aspects to boost EU's research and industrial capacity and to put AI at the service of European citizens and economy.</p><p>Artificial intelligence (AI) has become an area of strategic importance and a key driver of economic development. It can bring solutions to many societal challenges from treating diseases to minimising the environmental impact of farming. However, socio-economic, legal and ethical impacts have to be carefully addressed.</p><p>It is essential to join forces in the EU to stay at the forefront of this technological revolution, to ensure competitiveness and to shape the conditions for its development and use (ensuring respect of European values). In this framework, the EC and the Member States published a Coordinated Plan on Artificial Intelligence”, COM(2018) 795, on the development of AI in the EU. The Coordinated Plan includes the recognition of common indicators to monitor AI uptake and development in the Union and the success rate of the strategies in place, with the support of the AI Watch instrument developed by the EC. Therefore, AI Watch is monitoring and assessing European AI landscapes from driving forces to technology developments, from research to market, from data ecosystems to applications. </p><p>The presentation will first introduce the main AI Watch methodology and tasks. Then, it will focus on the interest of AI Watch to monitor and understand what has been the AI impact on Geosciences research and innovation –see for example Climate Change studies. Finally, a proposal to connect EGU Community (in particular ESSI division) and AI Watch will be introduced.</p>

scholarly journals ON THE PATH TO ARTIFICIAL INTELLIGENCE: THE EFFECTS OF A ROBOTICS SOLUTION IN A FINANCIAL SERVICES FIRM

2021 ◽  
Vol 32 (2) ◽  
Author(s):  
Hamieda Parker ◽  
Stephanie Elaine Appel
Keyword(s):  
Artificial Intelligence ◽  
Customer Service ◽  
Financial Services ◽  
Data Entry ◽  
Research Approach ◽  
Work Experiences ◽  
Action Research Approach ◽  
Before And After ◽  
The Impact

As ever-increasing advances in automation and artificial intelligence solutions create more opportunities for businesses to streamline their operations, the key challenges for managers are to identify the appropriate use cases for automation solutions in their organisations and to integrate the solution effectively to meet the objectives of both the firm and its employees. This case study examines the impact of implementing a machine-learning robotic process automation (RPA) solution that is aimed at reducing manual data entry tasks for employees in a financial services firm. The study employed an action research approach to follow a single team in the firm before and after the RPA implementation — a period of six months. The findings showed that RPA improved productivity in the team and created more positive work experiences for employees, as they had more time to dedicate to creative, cognitive, and customer service tasks. The study also found that the roles of employees were being redefined during the integration process, with employees reporting a high potential for broader transformation in the business as a result of the RPA implementation.

scholarly journals Wpływ sztucznej inteligencji na pracę biur rachunkowych

2021 ◽  
pp. 266-282
Author(s):  
Anna Semrau
Keyword(s):  
Artificial Intelligence ◽  
Air Conditioning ◽  
New Technologies ◽  
Technological Development ◽  
Human Life ◽  
Data Entry ◽  
Accounting Systems ◽  
The Public ◽  
Digital Network ◽  
Careful Management

The article is theoretical and methodological. It describes the concept of artificial intelligence. It has been outlined how over the years AI is slowly replacing human work. Artificial intelligence is new technologies that appear in every area of human life. You don’t have to look far for examples, digital network operator, smart air conditioning, online shopping, connected vacuum cleaners, robots used in factories. The aim of the work is to show how dangerous artificial intelligence can be for humans. It may lead to the fact that in a few or a dozen years or so some professions will disappear. Where human work is a repetitive activity, it will be replaced by a machine. Technological development has transformed the typewriter into a computer, we already have ma- chines that can learn. It would be necessary to ask what will happen in a dozen or so years, how far will this avalanche of technological progress go. New technologies require careful management. The paper describes how new technologies affect the work of accounting offices. It has been indicated which accounting activities can be completely taken over by the machines. Several hypotheses are presented in the paper. The first is the recognition that data entry into accounting systems will be automated and taken over by new technologies. The second thesis assumes that the profession of accountant will change, it will change but will not disappear. Another one assumes that new technologies in the public law circulation will create the basis for calculating taxes by the tax administration.

Artificial intelligence impact on banks clients and employees in an Asian developing country

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nada Mallah Boustani
Keyword(s):  
Artificial Intelligence ◽  
Developing Country ◽  
Social Services ◽  
Financial Institutions ◽  
Financial Services ◽  
Banking Sector ◽  
Data Entry ◽  
Economic Behavior ◽  
Network Systems ◽  
Content Type

Purpose The purpose of this paper is to discuss the application of artificial intelligence (AI) in banking sector, its impact on banks employees and consumer behavior alike when buying financial services and the importance of (AI) for delivering social services in a western Asian developing country: Lebanon. The author tried to respond to the following problematics: Would AI be able to replace man power in customer service? and would AI change the job of the banker and render the bank more profitable? Design/methodology/approach The data collected and analyzed was used in a quantitative research-based models with the application of hypothesis regression models. The results obtained has helped despite the fact of its innovative framework, AI cannot replace the role of humans when it comes to client’s interactions with banks employees. Findings AI elevates the quality of banking transactions to an upper edge. Some of the technical banking jobs might be in jeopardy with AI, as the technology can be easily replaced with human resources, but when emotional intelligence is required for banks clients/employee’s relationship management, AI has been found with no ability to supersede. Research limitations/implications Researchers in the future can also compare large banks called alpha banks to smaller banks in the same developing country to further test the possibility of adopting innovation and change through AI in different sizes of banks with larger number of employees, financial resources and corporate clients. Practical implications Fears regarding impact on employment were detected, AI could render many banks’ jobs obsolete in the coming years, asserting that AI and robotics “reduce the need for staff in roles such as back office functions. Data suggests that the proliferation of AI could be accompanied by a rise in banking jobs. It may also be the case that only the most mundane jobs such as data entry will be sacrificed for machine superiority. While a rise in job numbers associated with higher AI-adoption rates seems ideal, some evidence suggests that most financial institutions are not yet fully confident in how to effectively apply the technology for the best results but at the same time seemed to be receptive to using AI and machine learning in their organization. Social implications This study was conducted and limited to one developing Asian country, it would be useful to stretch this study covering other countries in the region to dive into more diversified results that could trigger researchers to compare more the adoption of AI in Asian countries and evaluating its impact with respect to different countries size and/or level of development in addition to other demographics and criteria. Originality/value Financial institutions are increasingly using artificial neural network systems to detect fraud and charges that do not meet the standard. The AI is used to: organize transactions; keep accounts; invest in stocks; optimize portfolios, etc. Reducing the number of frauds and financial crimes in Lebanon by monitoring user behavior to detect abnormal changes or anomalies in addition to the possible rectification of human economic behavior in the Asian region, this could add a great value and high originality to the research.

scholarly journals Measuring Outcomes in Healthcare Economics using Artificial Intelligence: with Application to Resource Allocation

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Feras A. Batarseh ◽  
Chih-Hao Huang
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Traveling Salesman ◽  
Healthcare Economics ◽  
Economic Aspects ◽  
Internal Factors ◽  
Measuring Outcomes ◽  
Optimum Plan ◽  
Intelligent Methods

The quality of service in healthcare is constantly challengedby outlier events such as pandemics and naturaldisasters. In most cases, such events lead to critical uncertaintiesin decision making, as well as in multiple medicaland economic aspects of a hospital. External (geographical)or internal factors (medical and managerial) at hospitals,lead to shifts in planning, budgeting, and confidencein conventional processes. In some cases, support fromother hospitals becomes inevitable. This manuscript presentsthree intelligent methods that provide data-drivenindicators to help healthcare managers organize their economicsand identify the most optimum plan for resourceallocation and sharing. Using reinforcement learning, geneticalgorithms, traveling salesman, and clustering, weexperimented with different healthcare variables and presentedtools and outcomes that could be applied at healthinstitutes. In this poster, initial experiments are performed;the results are recorded, evaluated, and illustrated.

SPECTRA: A program for processing electron images of crystals

1992 ◽  
Vol 50 (1) ◽  
pp. 132-133
Author(s):  
M.F. Schmid ◽  
R. Dargahi ◽  
M. W. Tam
Keyword(s):  
Lattice Distortion ◽  
Data Transfer ◽  
Reciprocal Lattice ◽  
Data Entry ◽  
Image Data ◽  
Distortion Correction ◽  
Specimen Preparation ◽  
Electron Image ◽  
Computer Controlled ◽  
Program Modules

Electron crystallography is an emerging field for structure determination as evidenced by a number of membrane proteins that have been solved to near-atomic resolution. Advances in specimen preparation and in data acquisition with a 400kV microscope by computer controlled spot scanning mean that our ability to record electron image data will outstrip our capacity to analyze it. The computed fourier transform of these images must be processed in order to provide a direct measurement of amplitudes and phases needed for 3-D reconstruction.In anticipation of this processing bottleneck, we have written a program that incorporates a menu-and mouse-driven procedure for auto-indexing and refining the reciprocal lattice parameters in the computed transform from an image of a crystal. It is linked to subsequent steps of image processing by a system of data bases and spawned child processes; data transfer between different program modules no longer requires manual data entry. The progress of the reciprocal lattice refinement is monitored visually and quantitatively. If desired, the processing is carried through the lattice distortion correction (unbending) steps automatically.

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