Ethical Design of Social Technology

2021 ◽  
pp. 20-47
Author(s):  
Fernando L. Montalvo ◽  
Michael Miuccio ◽  
Grace E. Waldfogle
Keyword(s):  
New Technologies ◽  
Machine Learning Algorithms ◽  
Social Technology ◽  
User Engagement ◽  
Negative Effects ◽  
Design Elements ◽  
Social Technologies ◽  
Ethical Design ◽  
User Attention ◽  
Technology Users

Social technology has become ubiquitous in everyday life. Developers of social technologies seek design elements and new technologies, such as machine learning algorithms, aimed at increasing user engagement. Increased user engagement with products or services is sought after by both companies, which benefit from increased sales and customers who desire technology which they are motivated to use. However, increased user engagement also results in increased demand on user attention. High demand on user attention results in problems for social technology users, including decreased task performance, decrements in working memory, increased anxiety, and more. Developers of social technology should take these negative effects on users into account when implementing new features into their products or services. This chapter proposes a framework for the ethical design of social technology, with a specific emphasis on the balance between user engagement and attentional demands on the user.

The influence of media on upbringing and behavior of children

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 656-666
Author(s):  
Dr. Entisar Al-Obaidi
Keyword(s):  
New Technologies ◽  
The Internet ◽  
Negative Effects ◽  
Online Newspapers ◽  
Media Messages ◽  
Other Information ◽  
Family Home ◽  
Effects Of Media ◽  
And Behavior ◽  
Harmful Effects

Media refers to the channels of communication through which we distribute news, education, movies, music, advertising messages and other information. It includes physical and online newspapers and magazines, television, radio, telephone, the Internet, fax and billboards, are a dominant force in lives of children. Although television is remaining the predominant medium for children and adolescents, the new technologies are become more popular. We have to concern about the potential harmful effects of media "messages and images"; however, the positive and negative effects of media should be recognized. Parents have to establish the plan for all media in family home. Media that are influences on children should be recognized by "schools, policymakers, product advertisers, and entertainment producers".

scholarly journals Impact of Innovative Technologies on the Content of Vitamin C and Its Bioavailability from Processed Fruit and Vegetable Products

Antioxidants ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 54
Author(s):  
Monika Mieszczakowska-Frąc ◽  
Karolina Celejewska ◽  
Witold Płocharski
Keyword(s):  
High Pressure ◽  
Vitamin C ◽  
Electric Fields ◽  
New Technologies ◽  
High Pressure Processing ◽  
Food Preservation ◽  
Fruit And Vegetable ◽  
Negative Effects ◽  
Minimal Processing ◽  
Processing Technologies

Nowadays, thermal treatments are used for extending the shelf-life of vegetable and fruit products by inactivating microorganisms and enzymes. On the other hand, heat treatments often induce undesirable changes in the quality of the final product, e.g., losses of nutrients, color alterations, changes in flavor, and smell. Therefore, the food industry is opening up to new technologies that are less aggressive than thermal treatment to avoid the negative effects of thermal pasteurization. Non-thermal processing technologies have been developed during the last decades as an alternative to thermal food preservation. Processing changes the structure of fruit and vegetables, and hence the bioavailability of the nutrients contained in them. In this review, special attention has been devoted to the effects of modern technologies of fruit and vegetable processing, such as minimal processing (MPFV), high-pressure processing (HPP), high-pressure homogenization (HPH), ultrasounds (US), pulsed electric fields (PEF), on the stability and bioavailability of vitamin C.

The Multi-Relationship Evaluation Design Framework: Designing Testing Plans to Comprehensively Assess Advanced and Intelligent Technologies

2010 ◽  
Author(s):  
Brian A. Weiss ◽  
Linda C. Schmidt ◽  
Harry A. Scott ◽  
Craig I. Schlenoff
Keyword(s):  
Intelligent Systems ◽  
New Technologies ◽  
Evaluation Framework ◽  
Evaluation Design ◽  
Design Elements ◽  
Summative Assessments ◽  
Extensive Evaluation ◽  
Level Of Knowledge ◽  
Definition Of ◽  
Key Terms

As new technologies develop and mature, it becomes critical to provide both formative and summative assessments on their performance. Performance assessment events range in form from a few simple tests of key elements of the technology to highly complex and extensive evaluation exercises targeting specific levels and capabilities of the system under scrutiny. Typically the more advanced the system, the more often performance evaluations are warranted, and the more complex the evaluation planning becomes. Numerous evaluation frameworks have been developed to generate evaluation designs intent on characterizing the performance of intelligent systems. Many of these frameworks enable the design of extensive evaluations, but each has its own focused objectives within an inherent set of known boundaries. This paper introduces the Multi-Relationship Evaluation Design (MRED) framework whose ultimate goal is to automatically generate an evaluation design based upon multiple inputs. The MRED framework takes input goal data and outputs an evaluation blueprint complete with specific evaluation elements including level of technology to be tested, metric type, user type, and, evaluation environment. Some of MRED’s unique features are that it characterizes these relationships and manages their uncertainties along with those associated with evaluation input. The authors will introduce MRED by first presenting relationships between four main evaluation design elements. These evaluation elements are defined and the relationships between them are established including the connections between evaluation personnel (not just the users), their level of knowledge, and decision-making authority. This will be further supported through the definition of key terms. An example will be presented in which these terms and relationships are applied to the evaluation design of an automobile technology. An initial validation step follows where MRED is applied to the speech translation technology whose evaluation design was inspired by the successful use of a pre-existing evaluation framework. It is important to note that MRED is still in its early stages of development where this paper presents numerous MRED outputs. Future publications will present the remaining outputs, the uncertain inputs, and MRED’s implementation steps that produce the detailed evaluation blueprints.

Use of 816 consecutive burn wound biopsies to inform a histologic algorithm for burn depth categorization

2021 ◽  
Author(s):  
Herb A Phelan ◽  
James H Holmes IV ◽  
William L Hickerson ◽  
Clay J Cockerell ◽  
Jeffrey W Shupp ◽  
...  
Keyword(s):  
New Technologies ◽  
A Priori ◽  
Machine Learning Algorithms ◽  
Burn Wound ◽  
Prospective Multicenter Study ◽  
Reticular Dermis ◽  
Burn Wounds ◽  
Misclassification Rates ◽  
Burn Depth ◽  
Burn Depth Assessment

Abstract Introduction Burn experts are only 77% accurate when subjectively assessing burn depth, leaving almost a quarter of patients to undergo unnecessary surgery or conversely suffer a delay in treatment. To aid clinicians in burn depth assessment (BDA), new technologies are being studied with machine learning algorithms calibrated to histologic standards. Our group has iteratively created a theoretical burn biopsy algorithm (BBA) based on histologic analysis, and subsequently informed it with the largest burn wound biopsy repository in the literature. Here, we sought to report that process. Methods The was an IRB-approved, prospective, multicenter study. A BBA was created a priori and refined in an iterative manner. Patients with burn wounds assessed by burn experts as requiring excision and autograft underwent 4mm biopsies procured every 25cm 2. Serial still photos were obtained at enrollment and at excision intraoperatively. Burn biopsies were histologically assessed for presence/absence of epidermis, papillary dermis, reticular dermis, and proportion of necrotic adnexal structures by a dermatopathologist using H&E with whole slide scanning. First degree and superficial 2 nd degree were considered to be burn wounds likely to have healed without surgery, while deep 2 nd and 3 rd degree burns were considered unlikely to heal by 21 days. Biopsy pathology results were correlated with still photos by five burn experts for consensus of final burn depth diagnosis. Results Sixty-six subjects were enrolled with 117 wounds and 816 biopsies. The BBA was used to categorize subjects’ wounds into 4 categories: 7% of burns were categorized as 1 st degree, 13% as superficial 2 nd degree, 43% as deep 2 nd degree, and 37% as 3 rd degree. Therefore 20% of burn wounds were incorrectly judged as needing excision and grafting by the clinical team as per the BBA. As H&E is unable to assess the viability of papillary and reticular dermis, with time our team came to appreciate the greater importance of adnexal structure necrosis over dermal appearance in assessing healing potential. Conclusions Our study demonstrates that a BBA with objective histologic criteria can be used to categorize BDA with clinical misclassification rates consistent with past literature. This study serves as the largest analysis of burn biopsies by modern day burn experts and the first to define histologic parameters for BDA.

scholarly journals Environmental noise, its types and effects on health

2021 ◽  
pp. 41-48
Keyword(s):  
New Technologies ◽  
Road Traffic ◽  
Human Life ◽  
Traffic Noise ◽  
Well Being ◽  
Environmental Noise ◽  
Road Traffic Noise ◽  
Negative Effects ◽  
Railway Traffic ◽  
The Impact

Noise can be defined as an undesirable sound that pollutes the environment. If noise is continuous and exceeds certain levels, negative effects on health can be observed. In recent years, the impact of environmental noise (road traffic noise, railway traffic noise, air traffic noise and industrial noise) on human health has come under increasingly intense scrutiny. Noise can cause a number of negative effects on health that directly or indirectly affect humans. The occurrence of some certain and harmful health effects drives the onset of others and may contribute to the development of various diseases. Health is not only a state of physical well-being, but also mental well-being. Mental health primarily depends on the quality of life, which can be affected by various environmental factors, such as noise. An important aspect of fighting noise is the most effective protection of the population by avoiding sources of noise and reducing it. This can be achieved by introducing new technical solutions and new technologies, including devices that generate less noise. Another important measure is educating the society and influencing the change of individual and collective behavior, which may contribute to reducing the harmful factor, which is noise in human life, and minimize the resulting negative effects on health.

scholarly journals Modern Educational Technologies and National Interests

2021 ◽  
Vol 12 (6) ◽  
pp. 1348-1355
Author(s):  
Emin Garibli, Aysel Garibli
Keyword(s):  
Lifelong Learning ◽  
New Technologies ◽  
Mother Tongue ◽  
Educational Technologies ◽  
Negative Effects ◽  
National Interests ◽  
Positive Effects ◽  
Remote Training ◽  
The Right ◽  
Effective Use

As we know, one of the lifelong learning forms, which is the correspondence education, has received a wide circulation in our country. However, we have recently mentioned that the type of education should be adapted to modern conditions. As a way out from this situation, the article analyzed the specifics of the distance and supplementary education in the world and the stages of development. Mechanisms of application of existing educational technologies in Azerbaijan were studied. In order to achieve the goals mentioned in the article, the relevant legislation of Azerbaijan has been prepared and recommendations for institutional reforms have been prepared. In the context of globalization, the development of new technologies has negative effects, though there are positive effects. The strengthening of globalization leads to the inequality of development among countries, the sharp differences in the living standards of the population, the escalation of language, religion, traditions and, ultimately, the weakening of national state institutions. In this case, the protection and development of the state language is of great importance and special attention should be paid to this problem. At the end of the article, we came to the problem from another aspect, and we believe that if we use the right technologies properly and precisely, it can be achieved through the promotion of mother tongue.  Our compatriots living abroad will be able to acquire new knowledge and will not forget and develop their mother tongue with effective use of remote training technologies. Millions of our compatriots living abroad will be able to benefit from these advantages. In order to achieve this, it is important to use the modern IT technologies' innovations as well as the effective use of language teaching methods for language development carried out by linguists. We believe that there is a relationship between these two factors, and when analyzing lifelong learning issues, there is a need for two aspects. At the end, it should be noted that we have to analyze the problem from different perspectives and make suggestions.

scholarly journals Challenges of digitalization and artificial intelligence for modern economies, societies and management

2020 ◽  
Vol 28 (3) ◽  
pp. 556-567
Author(s):  
Rolf Clauberg
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Technical Information ◽  
Developed Countries ◽  
Negative Effects ◽  
Physical Systems ◽  
Large Numbers ◽  
Official Policy ◽  
The Usa ◽  
New Jobs

This study aims at identifying the challenges of digitalization and artificial intelligence for modern economies, societies and business administration. The implementation of digitalization schemes as Industry 4.0 are presently official policy of many developed countries. The goal is optimization of production processes and supply chains. Artificial intelligence is also affecting many fields. Both technologies are expected to substantially change working conditions for many people. It is important to identify the kind and impact of these changes and possible means to minimize negative effects. For this purpose, this study uses previous results about the disappearance of manufacturing jobs in the USA and their impact on different groups of society together with technical information about the new technologies to deduce expected changes caused by digitalization and artificial intelligence. Results are that both technologies will destroy large numbers of jobs and complete job classes while at the same time creating new jobs very different from the ones destroyed. Extensive permanent education and re-education of employees will be necessary to minimize negative effects, probably even changes to a more broad-based education to improve the potential of job changes into completely new fields. In addition, the technical information about digitalization in cyber-physical systems points to dangers that will require solutions on the international level.

scholarly journals FORECASTING OF BLOCKCHAIN TECHNOLOGY DEVELOPMENT IN ECONOMY: ACCOUNTING POINT OF VIEW

2019 ◽  
pp. 37-44
Author(s):  
L. Shkulipa
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Technology Development ◽  
Local Economy ◽  
Point Of View ◽  
Negative Effects ◽  
Blockchain Technology ◽  
Hype Cycle ◽  
Predictive Assessment ◽  
Further Development

In the article the importance of blockchain technology in the economy and predicting its development from the accounting point of view was investigated. The methods used in the study are based on the analysis of literature related to disclosure issues and a description of existing blockchain claims on the world stage. On the basis of this, a predictive assessment of the considered results for the further development of blockchain technology in the economy, its impact on accounting and the profession of accountant was made. The findings include the positive and negative effects of blockchain technology on the medical and banking sectors, information technology, the financial sector, and accounting. The blockchain in the hype cycle was considered as a phenomenon that all new technologies undergo before stable existing or disappearing. Based on the consideration of the most famous blockchain projects with the combination of Big Data, the estimation of the development technologies of Blockchain and Big Data in finance was discussed. This study suggests to consider blockchain technology as (1) a new way of sending and processing invoices, documents, contracts, and payments, reducing errors, costs and transaction time; (2) a path to financial equality through affordability; (3) investments in the local economy so that developing countries can grow significantly; (4) updating the currency market and the international monetary and financial transaction system; (5) a major breakthrough in the economy together with the Big Data technology.

scholarly journals Infrastructure costs and benefits of European high-speed rail

2021 ◽  
Vol 1 (2) ◽  
pp. 47-53
Author(s):  
Nedžad Branković ◽  
Aida Kalem
Keyword(s):  
High Speed ◽  
New Technologies ◽  
Operational Parameters ◽  
Negative Effects ◽  
Railway Network ◽  
High Speed Rail ◽  
Rail Network ◽  
High Speed Trains ◽  
Conventional Rail ◽  
Ecologically Sustainable

The development of new technologies has significantly influenced railways modernization and has caused the appearance of high-speed rail which represent a safe, comfortable and ecologically sustainable way of transportation. The high-speed rail present a big step in a relation to conventional railways, where the biggest difference is speed which even entails a change of other organizational and operational parameters, better utilization of trains, higher performance of manpower and better service to users.  That is visible in many cities around the world where high-speed trains are used by billions of users. In the EU there is no unique high-speed railway network, besides that in many EU member countries various operational models are applied. The future of the high-speed railways market depends on political, economical and technical factors and challenges as high infrastructure costs, various rates of return on investment and the negative effects of economic crises. The main objective of the paper is to analyze infrastucture costs of high-speed rail in Europe and benefits such us  time savings, higher reliability, comfort, safety, reducing pollution and the release of capacity in the conventional rail network, roads and airport infrastructure.

scholarly journals A Data Loss Recovery Technique Using EMD-BiGRU Algorithm for Structural Health Monitoring

2021 ◽  
Vol 11 (21) ◽  
pp. 10072
Author(s):  
Die Liu ◽  
Yihao Bao ◽  
Yingying He ◽  
Likai Zhang
Keyword(s):  
Missing Data ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Measured Data ◽  
Machine Learning Algorithms ◽  
Measure Data ◽  
Measured Signal ◽  
Negative Effects ◽  
Missing Data Imputation ◽  
Structural Health

Missing data caused by sensor faults is a common problem in structural health monitoring systems. Due to negative effects, many methods that adopt measured data to infer missing data have been proposed to tackle this problem in previous studies. However, capturing complex correlations from measured data remains a significant challenge. In this study, empirical mode decomposition (EMD) combined with a bidirectional gated recurrent unit (BiGRU) is proposed for the recovery of the measured data. The proposed EMD-BiGRU converts the missing data task as predicted task of time sequence. The core of the method is to predict missing data using the raw data and decomposed subsequence as the decomposed subsequence can improve the predicted accuracy. In addition, the BiGRU in the hybrid model can extract the pre-post correlations of subsequence compared with traditional artificial neural networks. Raw acceleration data collected from a three-story structure are used to evaluate the performance of the EMD-BiGRU for missing data imputation. The recovery results of measure data show that the EMD-BiGRU exhibits excellent performance from two perspectives. First, the decomposed subsequence can improve the accuracy of the BiGRU predicted model. Second, the BiGRU outperforms other machine learning algorithms because it captures more microscopic changes of measured data. The experimental analysis suggests that the change patterns of raw measured signal data are complex, and therefore it is significant to extract the features before modeling.

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