scholarly journals Global Law in the Face of Datafication and Artificial Intelligence

2021 ◽  
pp. 54-69
Author(s):  
Rolf H. Weber
Keyword(s):  
Artificial Intelligence ◽  
The Face ◽  
Global Law

A Novel Artificial Face Mask based Nanofibers with Special Intelligent Engineered Nanocomposite Against Covid-19

2021 ◽  
pp. PP. 21-22
Author(s):  
Ahmed A. Elngar ◽  
◽  
◽  
S.I. El El-Dek
Keyword(s):  
Artificial Intelligence ◽  
Resource Allocation ◽  
Pattern Recognition ◽  
Disease Management ◽  
Face Mask ◽  
Vital Role ◽  
Mobile Unit ◽  
Disease Clusters ◽  
Infected People ◽  
The Face

We introduce our idea about a new face mask against Covid-19. Herein our novel face mask is a polymeric matrix of nanofibers. These nanofibers are decorated with special engineered nanocomposite. The later possesses antiviral, antimicrobial. A well-established IR temperature biosensor will be implanted in the face mask and connected to the mobile phone using App (Seek thermal) to allow temperature monitoring. Artificial Intelligence can play a vital role in the fight against COVID-19. AI is being successfully used in the identification of disease clusters, monitoring of cases, prediction of the future outbreaks, mortality risk, diagnosis of COVID-19, disease management by resource allocation, facilitating training, record maintenance and pattern recognition for studying the disease trend. Therefore, AI is used as a type of alarm which be connected through Global Position System (GPS) to a central networking system to monitor the crowded areas of probable infections. In this case, the hospital in this neighborhood will be charged to let a mobile unit of assessment travel quickly to the infected people areas.

scholarly journals Are Artificial Intelligence (AI) And Machine Learning (ML) Having An Effective Role In Helping Humanity Address The New Coronavirus Pandemic?

2020 ◽  
Vol 17 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Outbreaks ◽  
Hospital Capacity ◽  
Data Engineering ◽  
Clinical Presentations ◽  
The Face ◽  
Effective Role ◽  
Using Data ◽  
The Right

COVID-19 has become a pandemic affecting the most of countries in the world. One of the most difficult decisions doctors face during the Covid-19 epidemic is determining which patients will stay in hospital, and which are safe to recover at home. In the face of overcrowded hospital capacity and an entirely new disease with little data-based evidence for diagnosis and treatment, the old rules for determining which patients should be admitted have proven ineffective. But machine learning can help make the right decision early, save lives and lower healthcare costs. So, there is therefore an urgent and imperative need to collect data describing clinical presentations, risks, epidemiology and outcomes. On the other side, artificial intelligence(AI) and machine learning(ML) are considered a strong firewall against outbreaks of diseases and epidemics due to its ability to quickly detect, examine and diagnose these diseases and epidemics.AI is being used as a tool to support the fight against the epidemic that swept the entire world since the beginning of 2020.. This paper presents the potential for using data engineering, ML and AI to confront the Coronavirus, predict the evolution of disease outbreaks, and conduct research in order to develop a vaccine or effective treatment that protects humanity from these deadly diseases.

scholarly journals Artificial Intelligence and Bank Soundness: A Done Deal? - Part 1

2021 ◽  
Author(s):  
Charmele Ayadurai ◽  
Sina Joneidy
Keyword(s):  
Artificial Intelligence ◽  
Significant Role ◽  
Crucial Role ◽  
Significant Contribution ◽  
Economic Prosperity ◽  
Bank Stability ◽  
The Face ◽  
Main Strand ◽  
Bank Soundness ◽  
The Way

Banks soundness plays a crucial role in determining economic prosperity. As such, banks are under intense scrutiny to make wise decisions that enhances bank stability. Artificial Intelligence (AI) plays a significant role in changing the way banks operate and service their customers. Banks are becoming more modern and relevant in people’s life as a result. The most significant contribution of AI is it provides a lifeline for bank’s survival. The chapter provides a taxonomy of bank soundness in the face of AI through the lens of CAMELS where C (Capital), A(Asset), M(Management), E(Earnings), L(Liquidity), S(Sensitivity). The taxonomy partitions opportunities from the main strand of CAMELS into distinct categories of 1 (C), 6(A), 17(M), 16 (E), 3(L), 6(S). It is highly evident that banks will soon extinct if they do not embed AI into their operations. As such, AI is a done deal for banks. Yet will AI contribute to bank soundness remains to be seen.

scholarly journals Dynamic & Intelligent Student Attendance Maintenance Based on Face Recognition

2020 ◽  
Vol 9 (5) ◽  
pp. 399-403
Keyword(s):  
Artificial Intelligence ◽  
Face Recognition ◽  
Face Detection ◽  
Student Attendance ◽  
Teachers And Students ◽  
The Face ◽  
Monitoring Camera ◽  
On Line

The proposed system generally results a solution to some of the problems which occurs in colleges and schools by providing a monitoring camera with the help of “Artificial Intelligence (AI)” . The main problem which can be occurred is wastage of time in taking the attendance manually or through any biometric sensors. The next problem which can be solved is to control the usage of electricity in classrooms when students are not in class. When the videos are getting recorded with the help of monitoring cameras, at the same time the head counting and face detection of the students present will also be done. When the strength of the class is zero ,the head counting also results to zero. The electricity can also be saved at the same time when people are not present in the classroom. The face recognition is the easiest process which can be done for marking the attendance, where the attendance is marked automatically. This process also helps to prevent the fake attendance. Face recognition and detection is generally based on line edge mapping to attain the identity of the student and also meets the wants of attendance in the universities and schools. The image of the student is to be captured and checked with the database simultaneously and marks the attendance of the particular student. The video gets recorded all the time and checks whether the student remains in class for the entire period.The attendance marking system with the help of technology is very essential for both the teachers and students.

Artificial Intelligence in the Banking Sector: Opportunities and Challenges

2021 ◽  
pp. 81-97
Author(s):  
Galina Semeko ◽  
Keyword(s):  
Artificial Intelligence ◽  
Banking Sector ◽  
High Tech ◽  
The World ◽  
The Face

The article deals with the problems of using artificial intelligence technologies in the banking sector in the world in general and in Russia in particular. Characterizes the potential of artificial intelligence technologies and their role in increasing the competitiveness of banks in the face of in Creasing competition from new high-tech financial providers. Presentes an analysis of the factors hampering the introduction of artificial intelligence technologies in banks.

Brexit: The Y2K of This Generation?

ITNOW ◽  
2020 ◽  
Vol 62 (2) ◽  
pp. 58-59
Author(s):  
Johanna Hamilton
Keyword(s):  
Artificial Intelligence ◽  
Law Firm ◽  
Technology Sector ◽  
Working Day ◽  
The Uk ◽  
Global Law

Abstract Charlotte Walker-Osborn, MBCS, is a Partner and International Head of both the Artificial Intelligence Group and the Technology Sector at the global law firm, Eversheds Sutherland. Talking on the first working day after Brexit, she tells Johanna Hamilton AMBCS her thoughts on the UK as one of the global leaders in technology and how we must keep the momentum going.

scholarly journals Artificial intelligence (AI) in strategic marketing decision-making: a research agenda

2020 ◽  
Vol 33 (2) ◽  
pp. 183-200 ◽  
Author(s):  
Merlin Stone ◽  
Eleni Aravopoulou ◽  
Yuksel Ekinci ◽  
Geraint Evans ◽  
Matt Hobbs ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Public Sector ◽  
Review Literature ◽  
Strategic Marketing ◽  
Sensitive Data ◽  
Content Type ◽  
The Public ◽  
Marketing Decision ◽  
The Face

Purpose The purpose of this paper is to review literature about the applications of artificial intelligence (AI) in strategic situations and identify the research that is needed in the area of applying AI to strategic marketing decisions. Design/methodology/approach The approach was to carry out a literature review and to consult with marketing experts who were invited to contribute to the paper. Findings There is little research into applying AI to strategic marketing decision-making. This research is needed, as the frontier of AI application to decision-making is moving in many management areas from operational to strategic. Given the competitive nature of such decisions and the insights from applying AI to defence and similar areas, it is time to focus on applying AI to strategic marketing decisions. Research limitations/implications The application of AI to strategic marketing decision-making is known to be taking place, but as it is commercially sensitive, data is not available to the authors. Practical implications There are strong implications for all businesses, particularly large businesses in competitive industries, where failure to deploy AI in the face of competition from firms, who have deployed AI to improve their decision-making could be dangerous. Social implications The public sector is a very important marketing decision maker. Although in most cases it does not operate competitively, it must make decisions about making different services available to different citizens and identify the risks of not providing services to certain citizens; so, this paper is relevant to the public sector. Originality/value To the best of the authors’ knowledge, this is one of the first papers to probe deployment of AI in strategic marketing decision-making.

scholarly journals Mejoramiento vegetal moderno, inteligencia artificial y derechos de propiedad intelectual

2020 ◽  
Vol 1 (2) ◽  
pp. 839-866
Author(s):  
Miguel A. Rapela
Keyword(s):  
Artificial Intelligence ◽  
Plant Breeding ◽  
Intellectual Property Rights ◽  
Human Person ◽  
Living Matter ◽  
Plant Variety ◽  
The Face ◽  
The One ◽  
The Right ◽  
Biotechnological Inventions

The modern plant breeding to obtain new plant varieties is based on genomic and phenomic selection generated through big data with millions of information points. In the face of such a quantity of data, it is necessary to use artificial intelligence to combine a complete vision and analysis of the problem through a human-computer interaction never addressed.The use of artificial intelligence has already created interpretive challenges in patents and copyrights. To a greater extent, modern plant breeding with the assistance of artificial inte-lligence is exposing major disarticulations and anachronisms in the Plant Breeder’s Rights and patent systems for biotechnological inventions. The challenges may even extend to the question of who would be entitled to the right in the case of products obtained without human intervention.The analysis of the situation indicates, on the one hand, that it would be necessary a review of the international framework of intellectual property rights in plant living matter which is based on independent treaties and conventions that apply to an indivisible organism as is a new plant variety. A more logical proposal would be to have a single, modern, and up-to-date compre-hensive sui generis protection system for all types of plant germplasm. On the other hand, it is proposed that, even in the case of products obtained through complete artificial intelligence processes, there must always be a human person legally responsible of the consequences of their actions, whether positive or negative

scholarly journals Accounting Expertise: New perspectives of the profession in the technological age

2021 ◽  
pp. 42-47
Author(s):  
Anderson Bronzato ◽  
Silvia Menezes Pires Dias
Keyword(s):  
Artificial Intelligence ◽  
Information Communication ◽  
Communication Education ◽  
Online Questionnaire ◽  
Limited Knowledge ◽  
Work Routine ◽  
The Face ◽  
Practical Performance ◽  
The Subject ◽  
Accounting Expertise

With the coming of technology, the accounting expert, professional who performs the technical analysis of documents in order to find truths in an investigation, massively included technology and artificial intelligence in his work routine. As a result of an inherent expansion to information, communication, education and services, this professional must adapt and update themselves in the face of the new needs of a world based on technology. Thus, this summary aimed to verify how accounting experts deal with and accept technology as important to the work routine. An online questionnaire was applied, collecting information regarding the use of the computer for the development of the activities of the profession. The results obtained show that the accountants recognize the importance of technology and the need for its use for the practice of the profession. However, most claim to know little or medium about artificial intelligence. The data presented here show that, although they know the importance of technology, accounting experts have limited knowledge on the subject. The professionals also stated that the technology did not cause changes in their routines, which differs from what was observed in the practical performance of these accounting experts.

scholarly journals Personal identification with artificial intelligence under COVID-19 crisis: a scoping review

2022 ◽  
Vol 11 (1) ◽  
Author(s):  
Shinpei Matsuda ◽  
Hitoshi Yoshimura
Keyword(s):  
Artificial Intelligence ◽  
Scoping Review ◽  
Literature Search ◽  
Personal Identification ◽  
Flow Diagram ◽  
Cochrane Library ◽  
Identification Methods ◽  
Institutional Infrastructure ◽  
The Face ◽  
Critical Consideration

Abstract Background Artificial intelligence is useful for building objective and rapid personal identification systems. It is important to research and develop personal identification methods as social and institutional infrastructure. A critical consideration during the coronavirus disease 2019 pandemic is that there is no contact between the subjects and personal identification systems. The aim of this study was to organize the recent 5-year development of contactless personal identification methods that use artificial intelligence. Methods This study used a scoping review approach to map the progression of contactless personal identification systems using artificial intelligence over the past 5 years. An electronic systematic literature search was conducted using the PubMed, Web of Science, Cochrane Library, CINAHL, and IEEE Xplore databases. Studies published between January 2016 and December 2020 were included in the study. Results By performing an electronic literature search, 83 articles were extracted. Based on the PRISMA flow diagram, 8 eligible articles were included in this study. These eligible articles were divided based on the analysis targets as follows: (1) face and/or body, (2) eye, and (3) forearm and/or hand. Artificial intelligence, including convolutional neural networks, contributed to the progress of research on contactless personal identification methods. Conclusions This study clarified that contactless personal identification methods using artificial intelligence have progressed and that they have used information obtained from the face and/or body, eyes, and forearm and/or hand.

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