scholarly journals Sustainable artificial intelligence: A corporate culture perspective

Author(s):  
Carmen Isensee ◽  
Kai-Michael Griese ◽  
Frank Teuteberg

AbstractIn recent years, various studies have highlighted the opportunities of artificial intelligence (AI) for our society. For example, AI solutions can help reduce pollution, waste, or carbon footprints. On the other hand, there are also risks associated with the use of AI, such as increasing inequality in society or high resource consumption for computing power. This paper explores the question how corporate culture influences the use of artificial intelligence in terms of sustainable development. This type of use includes a normative element and is referred to in the paper as sustainable artificial intelligence (SAI). Based on a bibliometric literature analysis, we identify features of a sustainability-oriented corporate culture. We offer six propositions examining the influence of specific manifestations on the handling of AI in the sense of SAI. Thus, if companies want to ensure that SAI is realized, corporate culture appears as an important indicator and influencing factor at the same time.

2019 ◽  
Vol 12 (1) ◽  
pp. 47-60
Author(s):  
László Kota

The artificial intelligence undergoes an enormous development since its appearance in the fifties. The computing power has grown exponentially since then, enabling the use of artificial intelligence applications in different areas. Since then, artificial intelligence applications are not only present in the industry, but they have slowly conquered households as well. Their use in logistics is becoming more and more widespread, just think of self-driving cars and trucks. In this paper, the author attempts to summarize and present the artificial intelligence logistical applications, its development and impact on logistics.


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Nguyen Duy Dung

Characteristics of the industrial revolution 4.0 is the wide application of high-tech achievements, especially information technology, digitalization, artificial intelligence, network connections for management to create sudden changes in socio-economic development of many countries. Therefore, to reach the high-tech time, many magazines in Vietnam have changed dramatically, striving to reach the international scientific journal system of ISI, Scopus. The publication of international standard scientific journal will meet the demand of publishing research results of local scientists, on the other hand contribute to strengthening exchange, cooperation, international integration in science and technology.


2020 ◽  
Vol 2 ◽  
pp. 58-61 ◽  
Author(s):  
Syed Junaid ◽  
Asad Saeed ◽  
Zeili Yang ◽  
Thomas Micic ◽  
Rajesh Botchu

The advances in deep learning algorithms, exponential computing power, and availability of digital patient data like never before have led to the wave of interest and investment in artificial intelligence in health care. No radiology conference is complete without a substantial dedication to AI. Many radiology departments are keen to get involved but are unsure of where and how to begin. This short article provides a simple road map to aid departments to get involved with the technology, demystify key concepts, and pique an interest in the field. We have broken down the journey into seven steps; problem, team, data, kit, neural network, validation, and governance.


Geosciences ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 120
Author(s):  
Teresa Brzezińska-Wójcik

The Polish part of the Roztocze Transboundary Biosphere Reserve area is characterized by diversified geotourism resources with relatively high value. However, their potential seems not to be fully used in the current product offer. The aim of the study was therefore to assess the spatial variability of the geotourism potential and function and to determine their interrelations in view of further development of geotourism in the Roztocze TBR and the perspective of creation of the “Kamienny Las na Roztoczu” geopark. The study was carried out with the use of the taxonomic method of multidimensional comparative analysis consisting of calculation and analysis of general, total, and partial indices of the geotourism potential and function in 22 communes. The results showed the highest total indicator of geotourism potential in two communes, i.e. Józefów and Krasnobród, and the highest value of the total geotourism function index in Krasnobród. The results of the analysis of the relationships between the geotourism potential and function indicate that the geotourism resources and products are fully used in terms of the development of the function only in Krasnobród commune. In turn, the value of the total geotourism function index in the Zwierzyniec commune exceeds the geotourism potential indicator, which implies that this area is overloaded by tourist movement. The total indicators of geotourism potential in the other communes, especially Józefów, Krasnobród, Lubycza Królewska, and Susiec, indicate the possibility of more intensive exploitation of geotourism resources in preparation of interesting products in compliance with the principles of sustainable development and, consequently, the development of the geotourism function.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Pierre Auloge ◽  
Julien Garnon ◽  
Joey Marie Robinson ◽  
Sarah Dbouk ◽  
Jean Sibilia ◽  
...  

Abstract Objectives To assess awareness and knowledge of Interventional Radiology (IR) in a large population of medical students in 2019. Methods An anonymous survey was distributed electronically to 9546 medical students from first to sixth year at three European medical schools. The survey contained 14 questions, including two general questions on diagnostic radiology (DR) and artificial intelligence (AI), and 11 on IR. Responses were analyzed for all students and compared between preclinical (PCs) (first to third year) and clinical phase (Cs) (fourth to sixth year) of medical school. Of 9546 students, 1459 students (15.3%) answered the survey. Results On DR questions, 34.8% answered that AI is a threat for radiologists (PCs: 246/725 (33.9%); Cs: 248/734 (36%)) and 91.1% thought that radiology has a future (PCs: 668/725 (92.1%); Cs: 657/734 (89.5%)). On IR questions, 80.8% (1179/1459) students had already heard of IR; 75.7% (1104/1459) stated that their knowledge of IR wasn’t as good as the other specialties and 80% would like more lectures on IR. Finally, 24.2% (353/1459) indicated an interest in a career in IR with a majority of women in preclinical phase, but this trend reverses in clinical phase. Conclusions Development of new technology supporting advances in artificial intelligence will likely continue to change the landscape of radiology; however, medical students remain confident in the need for specialty-trained human physicians in the future of radiology as a clinical practice. A large majority of medical students would like more information about IR in their medical curriculum; almost a quarter of students would be interested in a career in IR.


AI and Ethics ◽  
2021 ◽  
Author(s):  
Aimee van Wynsberghe

AbstractWhile there is a growing effort towards AI for Sustainability (e.g. towards the sustainable development goals) it is time to move beyond that and to address the sustainability of developing and using AI systems. In this paper I propose a definition of Sustainable AI; Sustainable AI is a movement to foster change in the entire lifecycle of AI products (i.e. idea generation, training, re-tuning, implementation, governance) towards greater ecological integrity and social justice. As such, Sustainable AI is focused on more than AI applications; rather, it addresses the whole sociotechnical system of AI. I have suggested here that Sustainable AI is not about how to sustain the development of AI per say but it is about how to develop AI that is compatible with sustaining environmental resources for current and future generations; economic models for societies; and societal values that are fundamental to a given society. I have articulated that the phrase Sustainable AI be understood as having two branches; AI for sustainability and sustainability of AI (e.g. reduction of carbon emissions and computing power). I propose that Sustainable AI take sustainable development at the core of its definition with three accompanying tensions between AI innovation and equitable resource distribution; inter and intra-generational justice; and, between environment, society, and economy. This paper is not meant to engage with each of the three pillars of sustainability (i.e. social, economic, environment), and as such the pillars of sustainable AI. Rather, this paper is meant to inspire the reader, the policy maker, the AI ethicist, the AI developer to connect with the environment—to remember that there are environmental costs to AI. Further, to direct funding towards sustainable methods of AI.


2021 ◽  
Vol 13 (3) ◽  
pp. 1459
Author(s):  
Wei Zhou ◽  
Ayman Elshkaki ◽  
Shuai Zhong ◽  
Lei Shen

Land carrying capacity is an important indicator to quantitatively assess and judge the extents of sustainable economic developing and coexistent harmonizing between human and nature. The significance of land carrying capacity has been highlighted recently by the Sustainable Development Goals (SDGs) of the United Nations, which set clear requirements for arable, construction, and ecological lands. Theories and models of land carrying capacity, however, are suffering from the interference of artificial parameter setting and poor applicability. This paper attempts to overcome these limitations and propose a single factor assessment of the carrying capacity of cultivated land, construction land, and ecological land in terms of the relative carrying capacity from the perspective of a single factor assessment. Through mutual comparison, we found that the deviation caused by simulated parameter setting has been eliminated, and the relative status of each province and/or region in China has been obtained, which could provide a reference for the management and utilization of land resources. We argue that China can achieve basic self-sufficiency in both space capacity and food production without placing pressure on the global sustainable development. The results also indicate that carrying capacity state of the advanced development areas such as the eastern coastal region is relatively poor, while the carrying capacity state of the western region is relatively good.


2021 ◽  
Vol 13 (4) ◽  
pp. 1828
Author(s):  
Elisa Chaleta ◽  
Margarida Saraiva ◽  
Fátima Leal ◽  
Isabel Fialho ◽  
António Borralho

In this work we analyzed the mapping of Sustainable Development Goals in the curricular units of the undergraduate courses of the School of Social Sciences at the University of Évora. Of a total of 449 curricular units, only 374 had students enrolled in 2020/2021. The data presented refer to the 187 course units that had Sustainable Development Goals in addition to SDG4 (Quality Education) assigned to all the course units. Considering the set of curricular units, the results showed that the most mentioned objectives were those related to Gender Equality (SDG 5), Reduced Inequalities (SDG 10), Decent Work and Economic Growth (SDG 8) and Peace, Justice and Strong Institutions (SDG 16). Regarding the differences between the departments, which are also distinct scientific areas, we have observed that the Departments of Economics and Management had more objectives related to labor and economic growth, while the other departments mentioned more objectives related to inequalities, gender or other.


2016 ◽  
Vol 50 (1) ◽  
pp. 154-172 ◽  
Author(s):  
Thomas Lamarche ◽  
Catherine Bodet

We argue that corporate social responsibility depends on two distinct stylized facts concerning régulation and power. The first—institutional CSR—is institutional in nature, the other—strategic CSR—is economic and productive. The former permits and stabilizes the latter, which in turn gives rise to political compromises structuring institutional mechanisms. CSR strategies and institutions correspond to a private, oligopolistic régulation which shows no signs of being able to pursue a sustainable development regime. JEL classification: B52, D02, L15, M14, P17


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