scholarly journals Academic Policy Regarding Sustainability and Artificial Intelligence (AI)

2020 ◽  
Vol 12 (22) ◽  
pp. 9435
Author(s):  
Muhammad Tanveer ◽  
Shafiqul Hassan ◽  
Amiya Bhaumik
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Educational Systems ◽  
Development Education ◽  
High Quality Education ◽  
Academic Policy ◽  
Pros And Cons ◽  
Using Data ◽  
Sustainability Policy ◽  
The Impact

Artificial intelligence (AI) has grown, and technologies have intensified across all fields of life, particularly in education. AI has been applied to resources to improve skills giving teachers the time and freedom to provide understanding and adaptability and drive performance. This paper, written for policymakers in the field of education, highlights the impact of AI and advancements in academic policy. These academic policymakers generate ideas and strategies for applying AI across various disciplines. There is also discussion around AI implementation in education throughout developing nations for moving towards and ensuring affordable, high-quality education for every individual. Education for sustainable development (ESD) aims to promote the development of knowledge, skills, understanding, values and actions necessary to build a sustainable world, to protect and preserve the environment, and promote social equity and economic sustainability. This paper analyses how AI can be used to update learning probabilities by providing examples of how it can be integrated with existing educational systems, using data to improve educational capital and quality in developing countries. It goes on to discuss whether policymakers and institutions can reinvent and rework educational programs to polish graduates’ skills for the growing presence of AI across all disciplines. There are four main parts to this work: (1) different dimensions regarding the complexities and potential implications, (2) the pros and cons of educational sustainability policy related to AI, (3) carving out AI and its outstanding execution, and finally (4) the linkage of AI with higher education within the context of educational expansions. In conclusion, the paper focuses on AI’s applications, benefits and sustainable development education challenges.

Global challenges, sustainable development, and their implications for organizational performance

2015 ◽  
Vol 27 (4) ◽  
pp. 430-446 ◽  
Author(s):  
Busaya Virakul
Keyword(s):  
Sustainable Development ◽  
Organizational Performance ◽  
Relevant Literature ◽  
Business Practices ◽  
Business Organizations ◽  
Effective Response ◽  
Content Type ◽  
Global Challenges ◽  
Sustainability Policy ◽  
The Impact

Purpose – This paper aims to propose an effective response by business organizations to the impact of global challenges and sustainable development (SD). It also presents an overview model of organizational performance employing such an approach. Design/methodology/approach – This paper is a conceptual work based upon a review of theories, research findings and reports gathered from relevant literature. The review yielded the following research framework: many countries are facing global challenges; these global challenges are affecting business organizations as external factors; SD is a concept employed to address these challenges; SD can be applied in business organizations through corporate social responsibility (CSR), corporate governance (CG) and sustainability policy and practices; and embedding CSR, CG and sustainability concepts at a strategic level is an effective response to global challenges. Findings – Global challenges are impacting on business organizations and will continue to do so into the future. CSR, CG and sustainability concepts are increasingly being adopted by leading business organizations throughout the world. Embedding CSR, CG and sustainability concepts at a strategic level can sustain long-term organizational performance, as they help businesses face global challenges in a positive manner and maintain their position in societies on good terms with all stakeholders. Research limitations/implications – Different cultural or socio-economic environments may limit the interpretation and application of the findings or propositions in this research. Practical implications – How CSR, CG and sustainability concepts can be holistically implemented in business practices. Social implications – The role of business in lessening the effect of global challenges and supporting SD is illustrated in the proposed model. Originality/value – This paper demonstrates connections among the following critical influences on organizational performance: global challenges; SD; and CSR, CG and sustainability.

scholarly journals Constructivism-Based Methodology for Teaching Artificial Intelligence Topics Focused on Sustainable Development

2019 ◽  
Vol 11 (17) ◽  
pp. 4642 ◽  
Author(s):  
Georgina Mota-Valtierra ◽  
Juvenal Rodríguez-Reséndiz ◽  
Gilberto Herrera-Ruiz
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Finite Impulse Response ◽  
Practical Knowledge ◽  
Discrete Wavelet ◽  
Theoretical Concepts ◽  
Senior Project ◽  
Mode Decomposition ◽  
The Neural Networks ◽  
The Impact

This article proposes the creation of a course based on a series of practical sessions, where the students have to develop their practical knowledge about artificial intelligence techniques, specifically multilayer perceptron. The novelty of this paper is based on the constructivism methodology regarding artificial intelligence and sustainable development. Moreover, it can be implemented in different majors because of the flexibility in certain aspects. It is oriented to evaluate skills in the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context. The proposal helps the students to turn theoretical concepts into more tangible objects where they can build their knowledge by programming their implementations in software. Then, programming codes for practicing the neural networks theory, finite impulse response, empirical mode decomposition and discrete wavelet transform are achieved to compare percentage classification between different techniques. Also, it measures the interaction between the student and the theoretical mathematics of artificial intelligence. The continuous evaluations at the end of the practical sessions corroborate the increase in the knowledge of the students. A study based on rubrics illustrates an increase in the average grade obtained by the students in the elaboration of each practice. Finally, a senior project is carried out by taking into account sustainable development issues and the usage of tools of artificial intelligence.

scholarly journals Education for Sustainable Development: A Qualitative Analytical Study on the Impact of the Jordanian Universities’ Role in Supporting Innovation among University Students

2021 ◽  
Vol 10 (4) ◽  
pp. 268
Author(s):  
Amani Jarrar
Keyword(s):  
Sustainable Development ◽  
Grounded Theory ◽  
University Students ◽  
Education For Sustainable Development ◽  
Point Of View ◽  
Educational Systems ◽  
Innovation Ecosystems ◽  
Negative Impacts ◽  
The University ◽  
The Impact

This study aimed at exploring and theorizing the role of Jordanian Universities in supporting innovation among university students within the context of education for sustainable development from the point of view of Jordanian University students. For that, the researcher adopted the grounded theory methodology by Strauss and Corbin. The study was conducted at two Jordanian Universities: the University of Jordan and Philadelphia University in the academic year (2019-2020), and the study population consisted of students from the two universities. The researcher chose (300) students from both genders from different faculties and academic years. By applying the grounded theory, the study concluded that the key category that emerged after analyzing the student’s responses describing the impact of the Jordanian Universities’ role in supporting innovation among university students for educational sustainable development is the emphasis on the need for developing proper University innovation ecosystems in their educational systems. Also, the respondents- through online interviews - have emphasized this concept of proper University innovation ecosystems. The key category of this study found that positive and negative impacts could result from applying or neglecting to apply this concept, which generated behaviors toward the concept, which could be considered as the phenomena in the current research.

scholarly journals Impact of Artificial Intelligence on Intellectual Property Rights

2020 ◽  
Vol 9 ◽  
Author(s):  
Niteesh Kumar Upadhyay ◽  
Mahak Rathee
Keyword(s):  
Artificial Intelligence ◽  
Intellectual Property ◽  
Property Rights ◽  
Science Fiction ◽  
Intellectual Property Rights ◽  
Patent Search ◽  
Pros And Cons ◽  
Almost All ◽  
The Impact ◽  
Creativity And Innovation

Artificial Intelligence which seemed to be a distant dream at some point has now come out of the science fiction movies to our reality and has gathered momentum over past few years and has led to many developments in almost all the sectors. No sector will remain untouched by artificial intelligence and Intellectual Property Rights too will not be an exception to the same. The impact of Artificial Intelligence in the field of Intellectual Property Rights will be two ways, on one hand Artificial Intelligence will prove to be an asset in the areas of patent and patent search tools, accurate and timely research, providing a mechanism to sort out inventions and ideas and provide with a mechanism to the innovator on the patents already existing similar to his idea and many other things but on the other hand the Artificial Intelligence might also prove to be a threat to innovation and creativity which is the heart and soul of Intellectual Property Rights. The research paper will discuss in detail about the impact of Artificial Intelligence on Intellectual Property Rights, the pros and cons of Artificial Intelligence on creativity and innovation in IPR and will also deal with the future scope of Artificial Intelligence in Intellectual Property Rights.

scholarly journals Blockchain technology in elections: past, present and future

2020 ◽  
Vol 4 (4) ◽  
pp. 25-38
Author(s):  
Roman Alekseev
Keyword(s):  
The United States ◽  
Cyber Attacks ◽  
Innovative Technology ◽  
Expert Assessment ◽  
Electoral Process ◽  
Blockchain Technology ◽  
Pros And Cons ◽  
Using Data ◽  
The Impact ◽  
Technical Failures

The purpose of the research is to use blockchain technology in the electoral process. The study was conducted on the example of blockchain technologies used in elections in the United States, Canada, Australia, Sierra Leone, Switzerland, Spain, Russia and other countries. The methodological basis of the research is based on the methods of comparative analysis and component analysis of definitions. Empirical methods of expert assessment and interviewing were used. The pros and cons of blockchain technologies and the possibility of using this innovative technology in elections of different levels are revealed. The advantages of inclusive blockchain technology include the mobility and accessibility of voting; minimizing the costs of organizing and conducting elections; de-bureaucratization by reducing the staff of election commissions; the possibility of excluding the impact on voters from participants in the electoral process; reducing the time for processing ballots and determining the results of voting; increasing the level of trust in electoral procedures on the part of citizens who usually do not participate in voting. Among the disadvantages of blockchain technologies, we can highlight: technical failures and hacker cyber-attacks; the possibility of hackers using data about voters, in case of hacking electronic databases; violation of the secrecy of voting.

scholarly journals Conceptual approaches to the transition of the Russian fishing industry into the digital economy

2021 ◽  
pp. 102-110
Author(s):  
А.Я. Яфасов ◽  
Н.А. Кострикова
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Big Data ◽  
World Ocean ◽  
Digital Economy ◽  
Digital Transformation ◽  
Human Potential ◽  
Fishing Industry ◽  
Deep Processing ◽  
The Impact

Сформулированы задачи рыбной отрасли, связанные с экономической, продовольственной и общей безопасностью России, реализацией Национальной технологической инициативы и переходом национальной экономики в цифровую экономику и Индустрию 4.0. Для их решения сформулированы ключевые условия успешной цифровой трансформации отрасли, заключающиеся в развитии технологий и оборудования добычи и глубокой переработки водных биологических ресурсов, рециклинга, ускоренной цифровизации отрасли с использованием цифровых платформ, ситуационных центров, искусственного интеллекта и др. инструментов информационных технологий. Проведена оценка влияния ресурсной, технологической, продуктовой и цифровой трансформации рыбной отрасли России и новых технологий глубокой переработки морепродукции, на развитие рыбной отрасли России. За правовую базу модернизации рыбной отрасли взяты Декларация Генеральной ассамблеи ООН от 25 сентября 2015 года «Преобразование нашего мира: Повестка дня в области устойчивого развития на период до 2030 года», Морская доктрина и Доктрина продовольственной безопасности России и другие нормативно-правовые акты. Новизной работы является выявление существенных условий успешности перестройки рыбной отрасли, заключающихся в обеспечении конгруэнтности всех процессов модернизации, учете изменений характеристик Мирового океана и необходимости перехода от парадигмы «Устойчивое развитие» к «Управлению, основанному на оценке рисков». Новый подход требует применения новых инструментов мониторинга, рапид-форсайтов и оценки рисков, в частности, с использованием «Цифровых двойников, следов и теней», Big Data и искусственного интеллекта. Предлагается рассматривать рыбную отрасль России как единую социально-экономическую и производственно-экологическую среду, в которой обеспечивается конгруэнтное развитие человеческого потенциала, производственной инженерно-технологической среды, киберфизических систем и информационных систем управления. Расширение и цифровое изменение бизнес-процессов в рыбной отрасли обеспечит конвергентное взаимодействие всех акторов отраслевой экономики и управления, перерастание производственных технологий в разряд эмерджентных, позволяя кратно увеличить ВВП отрасли в течение 2022 - 2035 гг. The tasks of the fishing industry related to the economic, food and general security of Russia, the implementation of the National Technology Initiative and the transition of the national economy to the digital economy and Industry 4.0 are formulated. To solve them, the key conditions for a successful digital transformation of the industry have been formulated, consisting in the development of technologies and equipment for the extraction and deep processing of aquatic biological resources, recycling, accelerated digitalization of the industry using digital platforms, situational centers, artificial intelligence and other tools. information technologies. An assessment was made of the impact of the resource, technological, food and digital transformation of the Russian fishing industry and new technologies for deep processing of seafood on the development of the Russian fishing industry. The legal basis for the modernization of the fishing industry was taken from the UN General Assembly Declaration of September 25, 2015 “Transforming our world: the 2030 Agenda for Sustainable Development”, the Marine Doctrine and the Doctrine of Food Security of Russia and other regulatory legal acts. The novelty of the work is the identification of essential conditions for the success of the restructuring of the fishing industry, which consists in ensuring the congruence of all modernization processes, taking into account changes in the characteristics of the World Ocean and the need to move from the Sustainable Development paradigm to Risk-Based Management. The new approach requires the use of new monitoring tools, rapid foresight and risk assessment, in particular, using “Digital twins, traces and shadows”, Big Data and artificial intelligence. It is proposed to consider the fishing industry of Russia as a single socio-economic and production-ecological environment, in which the congruent development of human potential, industrial engineering and technological environment, cyber-physical systems and information management systems is ensured. The expansion and digital change of business processes in the fishing industry will ensure the convergent interaction of all actors of the sectoral economy and management, the development of production technologies into the category of emerging technologies, allowing a multiple increase in the industry's GDP during 2022 - 2035.

scholarly journals Artificial Intelligence and the Green Transition for 2030

2021 ◽  
pp. 1-17
Author(s):  
F. Javier Heredia Yzquierdo
Keyword(s):  
Artificial Intelligence ◽  
European Union ◽  
Sustainable Development ◽  
Water Conservation ◽  
Environmental Issues ◽  
The European Union ◽  
Agenda 2030 ◽  
Development Goals ◽  
Public And Private Sector ◽  
The Impact

The United Nations have developed the 2030 Agenda for Sustainable Development as a global agreement aiming to eradicate extreme poverty, fight inequality and injustice and leave no one behind. Agreed by world leaders at the UN in 2015, the 17 Sustainable Development Goals (SDGs) succeed the well-known Millennium Development Goals (MDGs). Parts of the Goals directly address environmental issues. Other do indirectly. In response to this growing awareness, the European Union has enacted a number of policies targeting environmental issues, including lowering carbon emissions and water conservation. It can be argued that the EU is at the forefront of addressing the environmental issues outlined in the SDGs. These policies are mentioned in this Paper and they are to be considered strategic. Artificial Intelligence has been having an impact in human activities for decades. Lately the impact is happening exponentially. The European Union is aware of such a fact and it implements policies towards increasing innovation in the public and private sector, including funding programmes and instruments to foster business development and efficiency in the Union and in the Member States. AI is also capable of having a profound impact in the environmental issues that the Agenda 2030 is bringing.

scholarly journals Users Versus Non-users: The Impact of Experience on Hotel Guests’ Attitudes Towards Service Robots in Hotels

2022 ◽  
pp. 55-66
Author(s):  
Patrycja Brylska ◽  
Cihan Cobanoglu ◽  
Seden Dogan
Keyword(s):  
Artificial Intelligence ◽  
Vital Role ◽  
Tourism Industry ◽  
Service Robots ◽  
Service Robot ◽  
Five Factors ◽  
Pros And Cons ◽  
Self Service ◽  
Hospitality And Tourism Industry ◽  
The Impact

AbstractThe use of robotics and artificial intelligence have created a shift in the ways the service-based hospitality and tourism industry can fulfill the needs and wants of consumers that were earlier fulfilled only by humans. Robots have added the automation and self-service experience that play a vital role in the improvements of efficiency, speed, and the overall experience for the guests using technology. While there are many benefits of using robots in the industry, there are also risks associated with the excessive usage of robots on guest experience. As a result of the pros and cons on the topic, it is very important to gather data and analyze the results to further investigate and understand what the outcomes will be for the industry, its employees, and its customers. The purpose of this study is to examine the perceptions of the use of robots in the hotels as perceived by hotel guests who used a service robot and who did not. A self-administered survey was developed, and 939 usable responses were collected from hotel guests. Factor analysis showed that five factors emerged in the study: Advantages, Attitudes, Disadvantages, Pandemic Related, and Fear. Guests recognize the opportunities that service robots are bringing to their experience while voicing their concerns and fears about the use of them. Findings also showed that there are significant differences between users and non-users.

scholarly journals Research and Application of Combined Algorithm Based on Sustainable Computing and Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Bo Hu
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Large Scale ◽  
Technology Development ◽  
Search Algorithm ◽  
Economic Benefits ◽  
Data Detection ◽  
The Sustainable Development ◽  
The Impact ◽  
Combined Algorithm

The Internet is a popular form of information technology development in the new century, and it organizes and analyzes big data by taking effective measures to find useful information. With manpower, it is obviously not enough to be in such a huge information system, so the emergence of sustainable computing and artificial intelligence has become the core of large-scale data processing at this stage. This paper studies the application of the combined algorithm based on sustainable computing and artificial intelligence. In this paper, a new combined intelligent search algorithm is proposed by combining sustainable computing with artificial intelligence. The combination algorithm firstly analyzes the value from the aspects of ecological environment and economic benefits and studies the overall evaluation of sustainable development ability. Secondly, the energy analysis method is used to establish a reasonable comprehensive ecosystem and evaluate its impact on the sustainable development of environment and economy. Finally, the impact of resource consumption, wind speed detection, waste discharge, and utilization of renewable resources in a certain area is analyzed by simulation. Through the experimental results, on the one hand, it is proved that the data obtained by the combined algorithm are more accurate than the single algorithm; on the other hand, the combined algorithm can be further sublimated and widely used for other data detection. The combination algorithm proposed in this paper can effectively detect the required data and has high applicability.

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