scholarly journals Digital Technologies in State and Municipal Procurement: The Future or Reality

2020 ◽  
Vol 1 (12) ◽  
pp. 36-42
Author(s):  
M. V. Shmeleva
Keyword(s):  
Artificial Intelligence ◽  
Legal System ◽  
New Technologies ◽  
Digital Technologies ◽  
Smart Contracts ◽  
Rapid Changes ◽  
The Future

The paper is devoted to the issues of digitalization in state and municipal procurement. Every year the field of state and municipal procurement is becoming more and more processible, new technologies and solutions are being introduced, procurement processes are becoming more and more automated. Rapid changes in the field under consideration force participants of procurement to intensively master such technologies as chat bots, artificial intelligence, blockchain, etc. As a result of the research, the author has come to the conclusion that the existing regulation of state and municipal procurement is already sufficient for smart contracts to be successfully integrated into the Russian legal system.

Artificial Intelligence and Robotics in the Oil Industry: Will it Take My Job?

2021 ◽  
Author(s):  
Armstrong Lee Agbaji
Keyword(s):  
Artificial Intelligence ◽  
Oil And Gas ◽  
New Technologies ◽  
Oil Industry ◽  
Oil And Gas Industry ◽  
Human Robot Interaction ◽  
Gas Industry ◽  
Deep Dive ◽  
The Future ◽  
And Robotics

Abstract Historically, the oil and gas industry has been slow and extremely cautious to adopt emerging technologies. But in the Age of Artificial Intelligence (AI), the industry has broken from tradition. It has not only embraced AI; it is leading the pack. AI has not only changed what it now means to work in the oil industry, it has changed how companies create, capture, and deliver value. Thanks, or no thanks to automation, traditional oil industry skills and talents are now being threatened, and in most cases, rendered obsolete. Oil and gas industry day-to-day work is progressively gravitating towards software and algorithms, and today’s workers are resigning themselves to the fact that computers and robots will one day "take over" and do much of their work. The adoption of AI and how it might affect career prospects is currently causing a lot of anxiety among industry professionals. This paper details how artificial intelligence, automation, and robotics has redefined what it now means to work in the oil industry, as well as the new challenges and responsibilities that the AI revolution presents. It takes a deep-dive into human-robot interaction, and underscores what AI can, and cannot do. It also identifies several traditional oilfield positions that have become endangered by automation, addresses the premonitions of professionals in these endangered roles, and lays out a roadmap on how to survive and thrive in a digitally transformed world. The future of work is evolving, and new technologies are changing how talent is acquired, developed, and retained. That robots will someday "take our jobs" is not an impossible possibility. It is more of a reality than an exaggeration. Automation in the oil industry has achieved outcomes that go beyond human capabilities. In fact, the odds are overwhelming that AI that functions at a comparable level to humans will soon become ubiquitous in the industry. The big question is: How long will it take? The oil industry of the future will not need large office complexes or a large workforce. Most of the work will be automated. Drilling rigs, production platforms, refineries, and petrochemical plants will not go away, but how work is done at these locations will be totally different. While the industry will never entirely lose its human touch, AI will be the foundation of the workforce of the future. How we react to the AI revolution today will shape the industry for generations to come. What should we do when AI changes our job functions and workforce? Should we be training AI, or should we be training humans?

Stepping back to move forward: Centering capital in discussions of technology and the future of work

2020 ◽  
Vol 5 (3-4) ◽  
pp. 129-133
Author(s):  
Benjamin Shestakofsky
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Technological Development ◽  
Structural Features ◽  
Robotic Systems ◽  
Future Of Work ◽  
Technological Unemployment ◽  
The Future ◽  
Constructivist Approaches ◽  
The Relationship

Some researchers have warned that advances in artificial intelligence will increasingly allow employers to substitute human workers with software and robotic systems, heralding an impending wave of technological unemployment. By attending to the particular contexts in which new technologies are developed and implemented, others have revealed that there is nothing inevitable about the future of work, and that there is instead the potential for a diversity of models for organizing the relationship between work and artificial intelligence. Although these social constructivist approaches allow researchers to identify sources of contingency in technological outcomes, they are less useful in explaining how aims and outcomes can converge across diverse settings. In this essay, I make the case that researchers of work and technology should endeavor to link the outcomes of artificial intelligence systems not only to their immediate environments but also to less visible—but nevertheless deeply influential—structural features of societies. I demonstrate the utility of this approach by elaborating on how finance capital structures technology choices in the workplace. I argue that investigating how the structure of ownership influences a firm’s technology choices can open our eyes to alternative models and politics of technological development, improving our understanding of how to make innovation work for everyone instead of allowing the benefits generated by technological change to be hoarded by a select few.

The Future Impact of Artificial Intelligence on Humans and Human Rights

2019 ◽  
Vol 33 (02) ◽  
pp. 141-158 ◽  
Author(s):  
Steven Livingston ◽  
Mathias Risse
Keyword(s):  
Artificial Intelligence ◽  
Human Rights ◽  
New Technologies ◽  
General Term ◽  
General Intelligence ◽  
Rapid Rate ◽  
Ethical Implications ◽  
Potential Development ◽  
The Future ◽  
Human Practices

AbstractWhat are the implications of artificial intelligence (AI) on human rights in the next three decades? Precise answers to this question are made difficult by the rapid rate of innovation in AI research and by the effects of human practices on the adaption of new technologies. Precise answers are also challenged by imprecise usages of the term “AI.” There are several types of research that all fall under this general term. We begin by clarifying what we mean by AI. Most of our attention is then focused on the implications of artificial general intelligence (AGI), which entail that an algorithm or group of algorithms will achieve something like superintelligence. While acknowledging that the feasibility of superintelligence is contested, we consider the moral and ethical implications of such a potential development. What do machines owe humans and what do humans owe superintelligent machines?

Creating Music with Technology

2019 ◽  
pp. 171-186
Author(s):  
Rena Upitis
Keyword(s):  
New Technologies ◽  
Digital Technologies ◽  
The Body ◽  
Digital Tools ◽  
Digital Music ◽  
Music Learning ◽  
The Future ◽  
Retrospective Examination

This chapter advances several ideas for using digital technologies to enable children to improvise and compose, while also cautioning that the use of these technologies should not replace the primacy of learning music through the body. The chapter opens with a retrospective examination of the digital tools that were used in a particular school thirty years ago, with an emphasis on the elements that have endured over the ensuing decades. This allows for a broad discussion about the future of digital music tools in creative musicianship. The chapter closes with a discussion of “slow music”—music learning that is approached in a reflective, mindful way, combining old and local ideas with new technologies for recording, listening, performing, and creating.

scholarly journals IoT Security Challenges: Cloud and Blockchain, Postquantum Cryptography, and Evolutionary Techniques

Electronics ◽  
2021 ◽  
Vol 10 (21) ◽  
pp. 2647
Author(s):  
Stefan Balogh ◽  
Ondrej Gallo ◽  
Roderik Ploszek ◽  
Peter Špaček ◽  
Pavol Zajac
Keyword(s):  
Artificial Intelligence ◽  
Quantum Computing ◽  
Internet Of Things ◽  
Iot Security ◽  
Security Issues ◽  
Security Challenges ◽  
Rapid Changes ◽  
The Future ◽  
Iot Devices ◽  
Security Of Iot

Internet of Things connects the physical and cybernetic world. As such, security issues of IoT devices are especially damaging and need to be addressed. In this treatise, we overview current security issues of IoT with the perspective of future threats. We identify three main trends that need to be specifically addressed: security issues of the integration of IoT with cloud and blockchains, the rapid changes in cryptography due to quantum computing, and finally the rise of artificial intelligence and evolution methods in the scope of security of IoT. We give an overview of the identified threats and propose solutions for securing the IoT in the future.

scholarly journals ARTIFICIAL INTELLIGENCE AND JOURNALISM PRACTICE IN NIGERIA: PERCEPTION OF JOURNALISTS IN BENIN CITY, EDO STATE

2020 ◽  
Author(s):  
Jammy Seigha Guanah ◽  
Venatus Nosike Agbanu ◽  
Ijeoma Obi
Keyword(s):  
Artificial Intelligence ◽  
Mass Media ◽  
Sample Size ◽  
Research Methods ◽  
New Technologies ◽  
Reporting Practices ◽  
Benin City ◽  
The Future ◽  
Edo State ◽  
Media Applications

The emergence of Artificial Intelligence (AI) is gradually having effects on every facet of the society; the mass media, being an indispensable part of any society, are not exempted from this AI bug hence they must synergise with new technologies to remain relevant. This study looked at how AI can, or has been impacting journalism practice in Benin City, Edo State, Nigeria. The study was anchored on the mediamorphosis theory while Survey and In-depth oral interview were adopted as the research methods for obtaining data. The 254 registered journalists under the Nigerian Union of Journalists (NUJ), Benin City Chapter, formed the population, and the sample size of 152 was determined using Cozby`s Precision of Estimate table. Among other findings, the study revealed the agreement of journalists in Benin City that automated journalism (usage of AI-driven media applications) is an improvement over the current reporting practices which are still done “manually.” It concluded that automation is the future, and Nigerian journalists cannot afford to be left out in the ultimate move to a world of automation, hence they have to prepare themselves, and embrace AI. Its recommendation included that Journalism schools should have curricula that embrace technology that will effectively prepare potential journalists for the future use of AI for their work.

scholarly journals Artificial Intelligence – (un)justified ambitions and (needless) fears

2021 ◽  
pp. 56-68
Author(s):  
Piotr Krajewski
Keyword(s):  
Artificial Intelligence ◽  
Human Activity ◽  
New Technologies ◽  
The Future ◽  
Long Time ◽  
Independent Life ◽  
Almost All ◽  
Human Intellect

Artificial Intelligence is undoubtedly one of the greatest achievements of the human intellect; in a sense , it has a creative character, because here one being (i.e. a human) gives (well, maybe not quite yet, but almost) independent life to a different being. The curiosity where this will lead us humans seems to be greater than the questions of anxiety that arise on this occasion. These questions are very diverse and concern almost all aspects of human activity. The interest in the development of new technologies connected with artificial intelligence and with the future is perfectly justified, but what about the risk that is inherent in every invention; moreover, a risk that is usually proportional to its actual importance? This paper contains many questions, not at all original, expressing anxiety, for which we still do not have answers – and probably will not for a long time.

scholarly journals Artificial intelligence as a legal entity and its civil responsibility within Europe | La inteligencia artificial como ente jurídico y su responsabilidad civil en el seno de Europa

2019 ◽  
Author(s):  
Juan Antonio Lloret Egea
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Criminal Responsibility ◽  
Digital Technologies ◽  
Legal Entity ◽  
Legal Personality ◽  
Civil Responsibility ◽  
European Citizenship ◽  
Group Report ◽  
The Eu

Civil, and also criminal, responsibility in artificial intelligence involves complex technical and legislative aspects; and it is a fertilizer for future discussions and problems within the framework of the EU and worldwide. The ex ante discussion is necessary for European citizenship and the estates involved in the present and future. The sensitivity and solidarity (and also the rights and obligations) of our society must be activated now, and warn of its lack of confidence and lethargy; a society that is saturated with information that causes us serious absences in the latent forums of the European debate. In order to contribute to the analysis of the need to define Artificial Intelligence (AI) as an entity with legal personality, or legal entity, and the subsequent responsibility that would lead to such a decision, we extract and analyze elements that we consider important in the Group Report of Experts in Responsibility and New Technologies - Training of New Technologies. 2019 ... And we find it very relevant especially one of the 'findings' of the report, called Liability for Artificial Intelligence and other emerging digital technologies: “It is not necessary to give autonomous devices or systems a legal personality, since the damage they can cause It can and should be attributable to existing people or organizations”.

Artificial Intelligence in Medicine

2021 ◽  
pp. 49-68
Author(s):  
Gia Merlo
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
New Technologies ◽  
New Technology ◽  
Technological System ◽  
Medical Professionals ◽  
Human Intelligence ◽  
Connected Health ◽  
The Future

Disruptive forces are challenging the future of medicine. One of the key forces bringing change is the development of artificial intelligence (AI). AI is a technological system designed to perform tasks that are commonly associated with human intelligence and ability. Machine learning is a subset of AI, and deep learning is an aspect of machine learning. AI can be categorized as either applied or generalized. Machine learning is key to applied AI; it is dynamic and can become more accurate through processing different results. Other new technologies include blockchain, which allows for the storage of all of patients’ records to create a connected health ecosystem. Medical professionals ought to be willing to accept new technology, while also developing the skills that technology will not be able to replicate.

Blockchain Technology

2019 ◽  
pp. 86-109
Author(s):  
Tarek Taha Kandil ◽  
Shereen Nassar ◽  
Mohamed Taysir
Keyword(s):  
Legal System ◽  
Business Models ◽  
New Technologies ◽  
Smart Contracts ◽  
New Approach ◽  
Blockchain Technology ◽  
Crypto Currency ◽  
The Creation

Blockchain technology starts to reconfigure all aspects of society to make it clear and beneficial for the legal system. The chapter introduces “The Blockchain Revolution” in categories 1.0, 2.0, and 3.0; in the form of analyzing the use of the technology that is being applied in new innovative business models, Blockchain 1.0 starts with the creation of the first blockchain and the introduction of the technology in the “Bitcoin Whitepaper,” the crypto-currency model, via Bitcoin's application in services related to cash, payments, and transfers. Blockchain 2.0 starts with the indication that using smart contracts on blockchains will be available via the development of syntax (i.e., “solidity” that would enable developers to create solutions with blockchain technology at the backend). The chapter explores the feature of the new disruptive business models-based blockchain technology as a new approach in delivering business products and services. In the chapter, the authors explore the new technologies raised in different fields of business.

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