scholarly journals Introduction: Algorithmic Thought

2021 ◽  
Vol 38 (7-8) ◽  
pp. 5-11
Author(s):  
M. Beatrice Fazi
Keyword(s):  
Artificial Intelligence ◽  
Special Section ◽  
The Past ◽  
Individual Contributions ◽  
Different Dimensions ◽  
Computing Machines

This introduction to a special section on algorithmic thought provides a framework through which the articles in that collection can be contextualised and their individual contributions highlighted. Over the past decade, there has been a growing interest in artificial intelligence (AI). This special section reflects on this AI boom and its implications for studying what thinking is. Focusing on the algorithmic character of computing machines and the thinking that these machines might express, each of the special section’s essays considers different dimensions of algorithmic thought, engaging with a diverse set of epistemological questions and issues.

Circulation, Conditions, Claims: Examining the Politics of Historical Memory in Eastern Europe

2021 ◽  
pp. 088832542096978
Author(s):  
Félix Krawatzek ◽  
George Soroka
Keyword(s):  
Eastern Europe ◽  
Special Section ◽  
Historical Memory ◽  
The Past ◽  
Different Types ◽  
Form Part ◽  
Regime Types ◽  
Individual Contributions ◽  
The Individual

Across Eastern Europe how the past is remembered has become a crucial factor for understanding present-day political developments within and between states. In this introduction, we first present the articles that form part of this special section through a discussion of the various methods used by the authors to demonstrate the potential ways into studying collective memory. We then define the regional characteristics of Eastern Europe’s mnemonic politics and the reasons for their oftentimes conflictual character. Thereafter we consider three thematic arenas that situate the individual contributions to this special section within the wider scholarly debate. First, we examine the institutional and structural conditions that shape the circulation of memory and lead to conflictive constellations of remembering; second, we discuss how different regime types and cultural rules influence the framing of historical episodes, paying attention to supranational integration and the role of technological change; third, we consider the different types of actors that shape the present recall of the past, including political elites, social movements, and society at large. We conclude by identifying several promising avenues for further research.

The wellness habits of men and women in the Northern Great Plain Region

2020 ◽  
Vol 13 (2) ◽  
pp. 123-130
Author(s):  
Péter HIDVÉGI ◽  
◽  
Andrea Puskás LENTÉNÉ ◽  
József Márton PUCSOK ◽  
Melinda BÍRÓ ◽  
...  
Keyword(s):  
Great Plain ◽  
Social Changes ◽  
Northern Great Plain ◽  
Health Tourism ◽  
The Past ◽  
Self Confidence ◽  
Plain Region ◽  
Body And Soul ◽  
Different Dimensions ◽  
Time Changes

In the past decades, the harmony of body and soul was getting more and more important,the balance, the self-confidence, and the positive-being, which is supported mostly by health tourism,so this section is improving with huge steps to serve the increasing needs fluently. For the effect of the consecutive social changes, the rules of genders have also changed. At the same time changes could be realized in the consumption habits of different genders. The resource took place from September to December 2018. It happened with a questionnaire survey; we asked the customers of hotels in the Northern Great Plain Region, and the answering was optional – they do it on their own choice. We investigated the participants' data through different dimensions and look for the answer to the question along these dimensions that which specifies had the service customers.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

Artificial Intelligence and Human Rights: Four Realms of Discussion: Summary of Remarks

2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Deep Learning ◽  
Language Processing ◽  
Human Reasoning ◽  
The Past ◽  
Making Choices ◽  
Data Capturing ◽  
Intensive Procedures

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.

Touching the Past to Remember the Past

2020 ◽  
Vol 8 (4) ◽  
pp. 389-397
Author(s):  
Meghan J. Dudley ◽  
Jenna Domeischel
Keyword(s):  
Social Memory ◽  
Special Section ◽  
Daily Basis ◽  
Public Archaeology ◽  
Human Condition ◽  
The Other ◽  
Archaeological Theory ◽  
The Public ◽  
The Past ◽  
Introductory Article

ABSTRACTAlthough we, as archaeologists, recognize the value in teaching nonprofessionals about our discipline and the knowledge it generates about the human condition, there are few of these specialists compared to the number of archaeologists practicing today. In this introductory article to the special section titled “Touching the Past to Learn the Past,” we suggest that, because of our unique training as anthropologists and archaeologists, each of us has the potential to contribute to public archaeology education. By remembering our archaeological theory, such as social memory, we can use the artifacts we engage with on a daily basis to bridge the disconnect between what the public hopes to gain from our interactions and what we want to teach them. In this article, we outline our perspective and present an overview of the other three articles in this section that apply this approach in their educational endeavors.

scholarly journals Boundaries Between Research Ethics and Ethical Research Use in Artificial Intelligence Health Research

2021 ◽  
pp. 155626462110027
Author(s):  
Gabrielle Samuel ◽  
Jenn Chubb ◽  
Gemma Derrick
Keyword(s):  
Artificial Intelligence ◽  
Health Research ◽  
Decision Makers ◽  
Societal Impact ◽  
The Past ◽  
Research And Innovation ◽  
The United Kingdom ◽  
Responsible Research ◽  
Past Half

The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, recently, decision makers have required researchers to acknowledge the societal impact of their research, as well as anticipate and respond to ethical dimensions of this societal impact through responsible research and innovation principles. Using artificial intelligence population health research in the United Kingdom and Canada as a case study, we combine a mapping study of journal publications with 18 interviews with researchers to explore how the ethical dimensions associated with this societal impact are incorporated into research agendas. Researchers separated the ethical responsibility of their research with its societal impact. We discuss the implications for both researchers and actors across the Ethics Ecosystem.

The Future of the Planetary Trust in a Kaleidoscopic World

2021 ◽  
pp. 1-8
Author(s):  
Edith Brown Weiss
Keyword(s):  
Artificial Intelligence ◽  
Natural Resource ◽  
Human Activities ◽  
New Technologies ◽  
Future Generations ◽  
Nuclear War ◽  
Human Environment ◽  
The Past ◽  
Resource Degradation ◽  
Shared Goal

Today, it is evident that we are part of a planetary trust. Conserving our planet represents a public good, global as well as local. The threats to future generations resulting from human activities make applying the normative framework of a planetary trust even more urgent than in the past decades. Initially, the planetary trust focused primarily on threats to the natural system of our human environment such as pollution and natural resource degradation, and on threats to cultural heritage. Now, we face a higher threat of nuclear war, cyber wars, and threats from gene drivers that can cause inheritable changes to genes, potential threats from other new technologies such as artificial intelligence, and possible pandemics. In this context, it is proposed that in the kaleidoscopic world, we must engage all the actors to cooperate with the shared goal of caring for and maintaining planet Earth in trust for present and future generations.

scholarly journals Application of Artificial Intelligence in Food Industry—a Guideline

2021 ◽  
Author(s):  
Nidhi Rajesh Mavani ◽  
Jarinah Mohd Ali ◽  
Suhaili Othman ◽  
M. A. Hussain ◽  
Haslaniza Hashim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Food Industry ◽  
Near Infrared ◽  
Vision System ◽  
Electronic Tongue ◽  
World Population ◽  
Computer Vision System ◽  
The Past

AbstractArtificial intelligence (AI) has embodied the recent technology in the food industry over the past few decades due to the rising of food demands in line with the increasing of the world population. The capability of the said intelligent systems in various tasks such as food quality determination, control tools, classification of food, and prediction purposes has intensified their demand in the food industry. Therefore, this paper reviews those diverse applications in comparing their advantages, limitations, and formulations as a guideline for selecting the most appropriate methods in enhancing future AI- and food industry–related developments. Furthermore, the integration of this system with other devices such as electronic nose, electronic tongue, computer vision system, and near infrared spectroscopy (NIR) is also emphasized, all of which will benefit both the industry players and consumers.

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