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.

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?

Rethinking the Politics of Creativity: Posthumanism, Indigeneity, and Creativity Beyond the Western Anthropocene

2021 ◽  
pp. 107780042110658
Author(s):  
Danah Henriksen ◽  
Edwin Creely ◽  
Rohit Mehta
Keyword(s):  
Artificial Intelligence ◽  
Human Activity ◽  
New Technologies ◽  
Natural World ◽  
New Materialism ◽  
Practice Research ◽  
Western Literature ◽  
Indigenous Epistemologies ◽  
Multiple Threads ◽  
Areas Of Concern

With the emergence of Western posthuman understandings, new materialism, artificial intelligence (AI), and the growing acknowledgment of Indigenous epistemologies, an ongoing rethinking of existing assumptions and meanings about creativity is needed. The intersection of new technologies and philosophical stances that upend human-centered views of reality suggests that creativity is not an exclusively “human” activity. This opens new possibilities and assemblages for conceiving of creativity, but not without tensions. In this article, we connect multiple threads, to reimagine creativity in light of posthuman understandings and the possibilities for creative emergence beyond the Anthropocene. Creativity is implicated as emerging beyond non-human spaces, such as through digitality and AI or sources in the natural world. This unseats many understandings of creativity as positioned in Euro-Western literature. We offer four areas of concern for interrogating tensions in this area, aiming to open new possibilities for practice, research, and (re)conceptualization beyond Western understandings.

FinTech Adoption in China

2021 ◽  
pp. 166-173
Author(s):  
Gagan Kukreja
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Financial Services ◽  
New Technologies ◽  
Large Population ◽  
Financial Inclusion ◽  
High Penetration ◽  
Digital Payments ◽  
Almost All

Almost all financial services (especially digital payments) in China are affected by new innovations and technologies. New technologies such as blockchain, artificial intelligence, machine learning, deep learning, and data analytics have immensely influenced all most all aspects of financial services such as deposits, transactions, billings, remittances, credits (B2B and P2P), underwriting, insurance, and so on. Fintech companies are enabling larger financial inclusion, changing in lifestyle and expenditure behavior, better and fast financial services, and lots more. This chapter covers the development, opportunities, and challenges of financial sectors because of new technologies in China. This chapter throws the light on opportunities that emerged because of the large population of 1.4 billion people, high penetration, and access to the latest and affordable technology, affordable cost of smartphones, and government policies and regulations. Lastly, this chapter portrays the untapped potentials of Fintech in China.

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?

scholarly journals ARTIFICIAL INTELLIGENCE VERSUS PUBLIC ADMINISTRATION: LIMITATIONS OF APPLICATION

2019 ◽  
Vol 7 (3) ◽  
pp. 516-520
Author(s):  
Petr M. Morkhat ◽  
Igor V. Ponkin ◽  
Marina V. Markhgeym ◽  
Vladimir K. Botnev ◽  
Aidyn O. Turganbayev
Keyword(s):  
Artificial Intelligence ◽  
Public Administration ◽  
Research Methods ◽  
System Analysis ◽  
The State ◽  
Point Of View ◽  
Existing Problems ◽  
The Future ◽  
Long Time ◽  
Systemic Problems

Purpose of Study: The present study was designed to study possibilities, conditions, grounds and limitations regarding the use of technologies and units of artificial intelligence in public administration. Determinants of the need to use such technologies in public administration were also considered. In this study, directions of realizable engagement which is already implemented, as well as directions of the possible use of artificial intelligence units in the future for public administration were investigated to ensure the functioning of system of state executive bodies. Methodology: The present research carried out based on the application of research methods such as system analysis, synthesis, and classification. Using these research methods, the concepts of describing conditions, possibilities, modes and functional-target load of using technologies and units of artificial intelligence in public administration, as well as limitations of its application in public administration were developed. Results: It was found that the use of artificial intelligence by the state for performing its various own tasks is highly relevant as it might lead to finding many positive approbations. However, despite the fact that technologies and artificial intelligence units have been developed for a relatively long time, and some of them are already widely used, it is still impossible to talk about the integrated, fully tested and properly regulated implementation of this kind of technology and units for management, therefore, it is suggested to further investigate on this issue from a theoretical (prognostic) point of view, taking into account potential directions and possibilities regarding    the use of such technology and units. Implications/Applications: The use of technologies and units of artificial intelligence does not necessarily take into account as a panacea for solving the problems and may not lead to solving some systemic problems in public administration, but, on the contrary, may even aggravate some existing problems in public administration and contribute to the emergence of new problems and risks.

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.

Semiotics is Fundamental Science

2014 ◽  
pp. 76-125 ◽  
Author(s):  
Mihai Nadin
Keyword(s):  
Human Activity ◽  
New Technologies ◽  
Brain Activity ◽  
Human Being ◽  
Knowledge Domain ◽  
Fundamental Science ◽  
The Future ◽  
To Come

There is no way to acquire, store, and disseminate knowledge other than semiotically. Yet semiotics is hardly acknowledged in science, and not at all as science. Were it not for the fame of a few writers (Barthes, Derrida, and especially Eco), associated more with the semiotics of culture, few would even know that such a knowledge domain exists. In the age of computers, genetics, and networks—all of underlying semiotic condition—semiotics would at best qualify as pertinent to an obscure past, but insignificant for current endeavors. Gnoseologically, there is little to gain from acknowledging the shortcomings of semiotics. Epistemologically, quite a bit is at stake in grounding semiotics among the fundamental sciences. For this to come about, new interrogations become necessary: Why knowledge? What is knowledge? What kind of knowledge? How is knowledge acquired? One way or another, the answer will acknowledge semiotic processes as a necessary factor. The perspective advanced in this chapter relies on an understanding of the living, and, in particular, of the human being, that ascertains anticipation as definitory. The future is made part of the present via semiotic processes. This is significant because in the age of neurons, suggestive of brain activity and of attempts to emulate it, to distinguish between knowledge supporting human activity, embodied in new technologies, and knowledge essential to the unfolding of the living becomes very difficult.

scholarly journals Criminal Liability of the Artificial Intelligence

2020 ◽  
Vol 159 ◽  
pp. 04025
Author(s):  
Danila Kirpichnikov ◽  
Albert Pavlyuk ◽  
Yulia Grebneva ◽  
Hilary Okagbue
Keyword(s):  
Artificial Intelligence ◽  
Criminal Liability ◽  
Human Intelligence ◽  
Coercive Measures ◽  
Self Development ◽  
The Future ◽  
Almost All ◽  
Self Learning ◽  
New Formation

Today, artificial intelligence (hereinafter – AI) becomes an integral part of almost all branches of science. The ability of AI to self-learning and self-development are properties that allow this new formation to compete with the human intelligence and perform actions that put it on a par with humans. In this regard, the author aims to determine whether it is possible to apply criminal liability to AI, since the latter is likely to be recognized as a subject of legal relations in the future. Based on a number of examinations and practical examples, the author makes the following conclusion: AI is fundamentally capable of being criminally liable; in addition, it is capable of correcting its own behavior under the influence of coercive measures.

scholarly journals Effect of COVID-19 pandemic on Education System in India

2020 ◽  
pp. 09-13
Keyword(s):  
Future Development ◽  
Education System ◽  
Global Society ◽  
Affected Area ◽  
The Future ◽  
Long Time ◽  
The Government ◽  
Almost All

The Covid-19 also known as Coronavirus is declared as pandemic in 2020 by almost all the countries around the globe. Pandemic like covid, H1N1 etc , is an event that will be remembered for a long time. The consequences of decisions taken by the government during pandemic will no doubt have a significant impact on the future development of global society. Education is one of the most important and affected area due to lockdown enforced due to pandemic. This paper tries to cover affect of covid pandemic on education system and economic of the India.

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