scholarly journals Los retos de las Administraciones Públicas como garantes de igualdad y de servicio público ante los retos de las innovaciones disruptivas que vienen

2019 ◽  
pp. 92-107
Author(s):  
Xavier MARCET GISBERT
Keyword(s):  
Artificial Intelligence ◽  
Emerging Technologies ◽  
Digital Transformation ◽  
Social Changes ◽  
The Public ◽  
Red Tape

Laburpena: Globalizazioak eta teknologia bat-batean sartzeak aldaketa azkarrak eragin dituzte, eta horiek jarduera ekonomikoaren sektore guztiei eragiten diete. Horiek horrela, sistema publikoek erronka garrantzitsuei egin beharko diete aurre. Aldaketa horietako batzuek berekin dakartzaten kanpo-efektu negatiboen ondorioz sortzen dira erronketako batzuk, edo, bestela, pertsonen eta gizarteen egonkortasuna, ziurtasuna eta babesa ahal den heinean sustatzeko beharraren ondorioz. Beste erronka batzuek, berriz, egoera berriek berekin dakartzaten aurrera egiteko aukera handiekin dute zerikusia, bai eta horiek baliatze aldera sektore publikoak hartu behar duen lidergo rol ordezkaezinarekin ere. Bi erronka-mota horiek administrazioa behartzen dute muturreko eta anbizio handiko berrikuntza-agenda bere gain hartzera. Agenda horren norainokoaren eraginez, sektore publikoak statu quoaren bereizgarri diren oinarrizko erakunde arteko akordioetako batzuk aztertu eta berriz diseinatu behar ditu. Lan honek aztertzen du zein diren egin beharreko oinarrizko eraldaketak, zer tresna behar diren esku hartzeko, eta zer dilema kudeatu behar diren. Horrez gain, gobernantza-ikuspegi berriaren funtsezko ezaugarriak aurkezten ditu. Eredu horrek aukera emango die gobernuei eta beren erakundeei esplorazioaren eta esperimentazioaren bidean murgiltzeko, eta sistema publikotik at kokatutako eragileekin lankidetzan aritzera irekitzeko, aldi berean gizarteari erantzuteko eta haren aurrean kontu emateko eskakizunen maila handiari eutsiz. Resumen: Las administraciones solamente responderán a su propósito de servir a la sociedad si se adaptan a los cambios sociales impulsados por las tecnologías emergentes. El cuadrilátero que definen la inteligencia artificial y el blockchain, la biotecnología y la nanotecnología va a transformar intensamente la vida de las personas, el mundo del trabajo y la forma cómo se toman las decisiones. Ante ello, las administraciones deben aprender a gestionar una nueva complejidad. Combinar el día a día de los servicios que ofrecen a los ciudadanos con una mayor capacidad de adaptación. Sin adaptación no hay consistencia. Y adaptación supone mayor agilidad y desburocratización, mayor capacidad de innovación y de transformación digital. El artículo explora algunos vectores clave para que las administraciones alcancen este cambio. Abstract: The administrations will only respond to their intention to serve society if they adapt to social changes driven by emerging technologies. The quadrilateral defining artificial intelligence and blockchain, biotechnology and nanotechnology will intensively transform the lives of people, the workplace and the ways in how decisions are made. Administrations must therefore learn to manage this new complexity. This involves combining the day-to-day of the services offered to the public along with a greater ability to adapt. Without adaptation, there is no consistency. And adaptation entails greater agility and cutting red tape, greater capacity for innovation and digital transformation. The article explores some of the key vectors to allow administrations to undertake this change.

scholarly journals The information society and digital transformation of a state: development and interpretations in the futurological thought

2021 ◽  
pp. 351-367
Author(s):  
Edyta Sokalska
Keyword(s):  
Public Administration ◽  
Cognitive Abilities ◽  
Information Society ◽  
Interdisciplinary Approach ◽  
Digital Transformation ◽  
Public Institutions ◽  
Social Changes ◽  
The Public ◽  
Clash Of Cultures ◽  
The Public Sphere

The theories of the information society and the idea of the modern digital state need an interdisciplinary approach. Practical realization of the concept of the digital state issues a challenge to public administration. It might be observed that public entities, while they work on electronic solutions, do not focus adequate attention on their cooperation. In Poland, the scope of digitalization and electronic services provided by public administration has extended. The digital transformation of public institutions is of high importance in the context the human rights. Cybersecurity and some contemporary threats related to the public sphere (cybercrime, cyberterrorism, cyberwar, fake news) trigger the changes in legal systems and public institutions. They also affect people, their cognitive abilities and identity. It is significant that the predictions concerning the information society and the digital state in the context of social changes have been present in the futurological thought. They include the thoughts of Alvin Toffler, Samuel P. Huntington, and Francis Fukuyama. The authors deal with the civilization changes, transformation related to dissemination of modern ICT technology, clash of cultures and their influence on societies and states.

scholarly journals Implementation of Artificial Intelligence (AI): A Roadmap for Business Model Innovation

AI ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 180-191 ◽  
Author(s):  
Wiebke Reim ◽  
Josef Åström ◽  
Oliver Eriksson
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Current Knowledge ◽  
Business Model Innovation ◽  
Digital Transformation ◽  
Organizational Capabilities ◽  
The Public ◽  
Business Ecosystem ◽  
Increased Risk ◽  
The Subject

Technical advancements within the subject of artificial intelligence (AI) leads towards development of human-like machines, able to operate autonomously and mimic our cognitive behavior. The progress and interest among managers, academics and the public has created a hype among many industries, and many firms are investing heavily to capitalize on the technology through business model innovation. However, managers are left with little support from academia when aiming to implement AI in their firm’s operations, which leads to an increased risk of project failure and unwanted results. This paper aims to provide a deeper understanding of AI and how it can be used as a catalyst for business model innovation. Due to the increasing range and variety of the available published material, a literature review has been performed to gather current knowledge within AI business model innovation. The results are presented in a roadmap to guide the implementation of AI to firm’s operations. Our presented findings suggest four steps when implementing AI: (1) understand AI and organizational capabilities needed for digital transformation; (2) understand current BM, potential for BMI, and business ecosystem role; (3) develop and refine capabilities needed to implement AI; and (4) reach organizational acceptance and develop internal competencies.

scholarly journals Digital transformation to the sustainability of public relations profession in the era of disruption

COMMICAST ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 52
Author(s):  
Arguanda Pribadi ◽  
Nurhasanah Nasution
Keyword(s):  
Artificial Intelligence ◽  
Public Relations ◽  
Human Performance ◽  
Field Research ◽  
Digital Transformation ◽  
Public Relations Practitioners ◽  
The Public ◽  
Analysis Technique ◽  
Efficiency And Effectiveness ◽  
The Government

Digital transformation is a change in the way work is handled by using information technology to gain efficiency and effectiveness. Since April 2011 the government has echoed Indonesia 4.0, through the ministry of the industry it has made Indonesia 4.0 a Roadmap that has been integrated as the implementation of many strategies in entering the industrial era 4.0. The public relations profession has become a target for the era of technological disruption 4.0 which is capable of producing big data, analytic data, artificial intelligence, internet of things (IoT) which exponentially boosts the quality and effectiveness of various public relations functions. This research is a qualitative descriptive study that aims to conduct in-depth interviews with predetermined respondents. This type of research uses field research, namely research that goes to the field to make observations about a phenomenon in a scientific situation. The data were obtained from two sources including one Pertamina MOR I Medan worker and one Head of BPC Perhumas Medan. The data analysis technique used is data reduction which is the process of selecting, focusing on simplification, and transforming data that arise from written records and research locations. Based on the research results obtained through interviews with resource persons, human performance opportunities in the public relations profession still have a good and exciting future for the world to be disrupted because this era will become rivals for public relations practitioners to be more advanced. Because artificial intelligence (AI) can support and facilitate public relations practitioners in carrying out their duties.

About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

Towards a Customized¬ Awareness Campaign to Educate the Public about COVID-19: Development and Validation of a Messaging Campaign to Promote Precautionary Behavior Using Geospatial Intelligence in Saudi Arabia (Preprint)

2020 ◽  
Author(s):  
Mayda Alrige ◽  
Hind Bitar Bitar ◽  
Maram Meccawi ◽  
Balakrishnan Mullachery
Keyword(s):  
Artificial Intelligence ◽  
Saudi Arabia ◽  
Content Validity ◽  
Awareness Campaign ◽  
Artificial Intelligence Technique ◽  
The Public ◽  
High Infection ◽  
Local Map ◽  
The City ◽  
Intelligence Technique

BACKGROUND Designing a health promotion campaign is never an easy task, especially during a pandemic of a highly infectious disease, such as Covid-19. In Saudi Arabia, many attempts have been made toward raising the public awareness about Covid-19 infection-level and its precautionary health measures that have to be taken. Although this is useful, most of the health information delivered through the national dashboard and the awareness campaign are very generic and not necessarily make the impact we like to see on individuals’ behavior. OBJECTIVE The objective of this study is to build and validate a customized awareness campaign to promote precautionary health behavior during the COVID-19 pandemic. The customization is realized by utilizing a geospatial artificial intelligence technique called Space-Time Cube (STC) technique. METHODS This research has been conducted in two sequential phases. In the first phase, an initial library of thirty-two messages was developed and validated to promote precautionary messages during the COVID-19 pandemic. This phase was guided by the Fogg Behavior Model (FBM) for behavior change. In phase 2, we applied STC as a Geospatial Artificial Intelligence technique to create a local map for one city representing three different profiles for the city districts. The model was built using COVID-19 clinical data. RESULTS Thirty-two messages were developed based on resources from the World Health Organization and the Ministry of Health in Saudi Arabia. The enumerated content validity of the messages was established through the utilization of Content Validity Index (CVI). Thirty-two messages were found to have acceptable content validity (I-CVI=.87). The geospatial intelligence technique that we used showed three profiles for the districts of Jeddah city: one for high infection, another for moderate infection, and the third for low infection. Combining the results from the first and second phases, a customized awareness campaign was created. This awareness campaign would be used to educate the public regarding the precautionary health behaviors that should be taken, and hence help in reducing the number of positive cases in the city of Jeddah. CONCLUSIONS This research delineates the two main phases to developing a health awareness messaging campaign. The messaging campaign, grounded in FBM, was customized by utilizing Geospatial Artificial Intelligence to create a local map with three district profiles: high-infection, moderate-infection, and low-infection. Locals of each district will be targeted by the campaign based on the level of infection in their district as well as other shared characteristics. Customizing health messages is very prominent in health communication research. This research provides a legitimate approach to customize health messages during the pandemic of COVID-19.

Living machines in our cultural imagination

2018 ◽  
Author(s):  
Michael Szollosy
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Public Perceptions ◽  
Human Condition ◽  
Cultural Imagination ◽  
The Public ◽  
The Enlightenment ◽  
The Future ◽  
Public Imagination ◽  
The Human Condition

Public perceptions of robots and artificial intelligence (AI)—both positive and negative—are hopelessly misinformed, based far too much on science fiction rather than science fact. However, these fictions can be instructive, and reveal to us important anxieties that exist in the public imagination, both towards robots and AI and about the human condition more generally. These anxieties are based on little-understood processes (such as anthropomorphization and projection), but cannot be dismissed merely as inaccuracies in need of correction. Our demonization of robots and AI illustrate two-hundred-year-old fears about the consequences of the Enlightenment and industrialization. Idealistic hopes projected onto robots and AI, in contrast, reveal other anxieties, about our mortality—and the transhumanist desire to transcend the limitations of our physical bodies—and about the future of our species. This chapter reviews these issues and considers some of their broader implications for our future lives with living machines.

Research on the strategy of intelligent analysis to improve sports person psychological experience in the era of artificial intelligence

2021 ◽  
pp. 1-11
Author(s):  
Lei Wu ◽  
Juan Wang ◽  
Long Jin ◽  
P. Hemalatha ◽  
R Premalatha
Keyword(s):  
Artificial Intelligence ◽  
Vital Role ◽  
Performance Ratio ◽  
Psychological Experience ◽  
The Public ◽  
Usable Knowledge ◽  
Intelligent Analysis ◽  
Accuracy Ratio ◽  
Depression Level ◽  
Predictive Research

Artificial intelligence (AI) is an excellent potential technology that is evolving day-to-day and a critical avenue for exploration in the world of computer science & engineering. Owing to the vast volume of data and the eventual need to turn this data into usable knowledge and realistic solutions, artificial intelligence approaches and methods have gained substantial prominence in the knowledge economy and community world in general. AI revolutionizes and raises athletics to an entirely different level. Although it is clear that analytics and predictive research have long played a vital role in sports, AI has a massive effect on how games are played, structured, and engaged by the public. Apart from these, AI helps to analyze the mental stability of the athletes. This research proposes the Artificial Intelligence assisted Effective Monitoring System (AIEMS) for the specific intelligent analysis of sports people’s psychological experience. The comparative analysis suggests the best AI strategies for analyzing mental stability using different criteria and resource factors. It is observed that the growth in the present incarnation indicates a promising future concerning AI use in elite athletes. The study ends with the predictive efficiency of particular AI approaches and procedures for further predictive analysis focused on retrospective methods. The experimental results show that the proposed AIEMS model enhances the athlete performance ratio of 98.8%, emotion state prediction of 95.7%, accuracy ratio of 97.3%, perception level of 98.1%, and reduces the anxiety and depression level of 15.4% compared to other existing models.

scholarly journals The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic

2021 ◽  
Author(s):  
Francesco Piccialli ◽  
Vincenzo Schiano di Cola ◽  
Fabio Giampaolo ◽  
Salvatore Cuomo
Keyword(s):  
Artificial Intelligence ◽  
Clinical Trials ◽  
Digital Transformation ◽  
Daily Activities ◽  
Commercial Vehicles ◽  
Human Skills ◽  
To Come ◽  
Complex Scenario ◽  
The Impact

AbstractThe first few months of 2020 have profoundly changed the way we live our lives and carry out our daily activities. Although the widespread use of futuristic robotaxis and self-driving commercial vehicles has not yet become a reality, the COVID-19 pandemic has dramatically accelerated the adoption of Artificial Intelligence (AI) in different fields. We have witnessed the equivalent of two years of digital transformation compressed into just a few months. Whether it is in tracing epidemiological peaks or in transacting contactless payments, the impact of these developments has been almost immediate, and a window has opened up on what is to come. Here we analyze and discuss how AI can support us in facing the ongoing pandemic. Despite the numerous and undeniable contributions of AI, clinical trials and human skills are still required. Even if different strategies have been developed in different states worldwide, the fight against the pandemic seems to have found everywhere a valuable ally in AI, a global and open-source tool capable of providing assistance in this health emergency. A careful AI application would enable us to operate within this complex scenario involving healthcare, society and research.

scholarly journals Artificial Intelligence: The Attitude of the Public and Representatives of Various Industries

2021 ◽  
Vol 14 (8) ◽  
pp. 339
Author(s):  
Tatjana Vasiljeva ◽  
Ilmars Kreituss ◽  
Ilze Lulle
Keyword(s):  
Artificial Intelligence ◽  
Primary Data ◽  
Structured Interviews ◽  
The Public ◽  
Qualitative And Quantitative ◽  
Public Survey ◽  
Significant Difference ◽  
Main Factors ◽  
Negative Factors ◽  
Near Future

This paper looks at public and business attitudes towards artificial intelligence, examining the main factors that influence them. The conceptual model is based on the technology–organization–environment (TOE) framework and was tested through analysis of qualitative and quantitative data. Primary data were collected by a public survey with a questionnaire specially developed for the study and by semi-structured interviews with experts in the artificial intelligence field and management representatives from various companies. This study aims to evaluate the current attitudes of the public and employees of various industries towards AI and investigate the factors that affect them. It was discovered that attitude towards AI differs significantly among industries. There is a significant difference in attitude towards AI between employees at organizations with already implemented AI solutions and employees at organizations with no intention to implement them in the near future. The three main factors which have an impact on AI adoption in an organization are top management’s attitude, competition and regulations. After determining the main factors that influence the attitudes of society and companies towards artificial intelligence, recommendations are provided for reducing various negative factors. The authors develop a proposition that justifies the activities needed for successful adoption of innovative technologies.

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