Digitize your knowledge-powered culture to double the impact of A.I.

This article aims to show that, to more effectively use artificial intelligence to prosper, corporations also need to develop a digital culture. This article is not to present data and comes from our 30 years of observations and consulting work experience in the fields of organizational transformation and emerging technology in the world. In this article, we propose that organizations develop a digital culture to effectively address these concerns and increase the positive impacts of artificial intelligence technology in their corporations. The corporate world has never been the same since the invention of artificial intelligence technology and never will be. In today’s AI-centric era, shaping equals transformation. Shaping means changing the shape. In the cyberspace of AI, real-time transformations take place on the stage. The emerging technology of artificial intelligence is a powerful weapon but a neutral agent, and executives in the US and the other developed world now have two options: develop a digital culture to use it or ignore such a culture to lose it. This is a position article in which we particularly show that if executives select to use artificial intelligence, they should be aware that there is also one concern regarding an effective transformation for AI: cultivating an effective digital culture for corporations.

Purpose Despite the growing number of firms undertaking digital transformation, there is still a limited understanding of how to realise business value, and many fail to implement it effectively. This study examines the interplay of digital organisational culture, digital transformation and business model innovation. Design/methodology/approach A quantitative research approach was employed, drawing on data from a representative survey of 250 firms across Greece’s trade, services and manufacturing sectors. Partial least squares structural equation modelling (PLS-SEM) was implemented to test the hypothesized relationships. Findings The study finds a strong positive effect of digital organisational culture on digital transformation. Additionally, digital transformation significantly influences business model innovation and fully mediates the relationship between digital organisational culture and business model innovation. Practical implications The study offers actionable insights for practitioners on how a proper digital culture (as an organisational requirement) and digital transformation practices can drive innovation in value creation, proposition and capture across trade, service and manufacturing firms. Additionally, the manuscript discusses the role of artificial intelligence (AI) as a core enabling technology that organisations increasingly adopt to drive and support digital transformation initiatives. Originality/value Literature on digital transformation concentrates on economic performance rather than innovation-driven outcomes, focusing on technology while overlooking the role of digital culture, which is key in overcoming resistance. This paper presents a novel model and empirical evidence from Greece, a Mediterranean country characterised by economic and resource constraints. It also offers sector-specific implications to support firms in maximising the value of digital investments and avoiding technological failures, which is crucial considering the urgency of artificial intelligence (AI).

Humanistic Buddhism is one of the mainstreams of modern Buddhism, with special emphasis on the humanistic dimension. With the development of artificial intelligence (AI) technology, Humanistic Buddhism is also at an important stage of modernization and transformation, thus facing a continuous negotiation between religious values and technological innovations. This paper first argues that AI is technically beneficial to the propagation of Buddhism by citing several cases in which AI technology has been used in Buddhism. Then, by comparing Master Hsing Yun’s Buddhist ethics to “Posthuman” ethics, it points out that the theories of Humanistic Buddhism share similarities with AI and Posthuman ethics. Among them, Master Hsing Yun’s theory of “the nature of insentient beings” provides an important theoretical reference for the question of “whether AI can become a Buddha”. From the technical and ethical dimensions, it points out that the interaction between Humanistic Buddhism and AI can promote original uses or implementations of AI technology. However, it should also be noted that compared to the cases of “Artificial Narrow Intelligence”discussed in the paper, the “Strong AI” could lead to much more ethical crises. It is also likely to cause the cult of science and technology, and thus subvert the humanistic tradition of Buddhism with a new instrumental rationality. In addition, there are some potential pitfalls that Humanistic Buddhism may encounter when using AI. Hence, while it is necessary to encourage the use of technologies such as AI in contemporary Buddhism, it is also important for Buddhism to keep a critical distance from digital technologies.

Artificial intelligence speakers, artificial intelligence secretaries, and artificial intelligence translations are all now naturally incorporated into many people's daily lives. Artificial intelligence, which is used in various fields from simply increasing the convenience of work daily to creating artwork using artificial intelligence technology, is being actively studied in relation to the human emotional field. This study will examine the process in which artificial intelligence newly stimulates human emotions by learning emotions. going beyond just recognizing human emotions. Also, the study will examine the definition, technology, and cases of artificial emotional intelligence that can be used for emotional control or decision-making based on emotional information recognized and learned by artificial intelligence. The study has meaning in suggesting what elements are needed for the industrialization of artificial emotional intelligence.

PurposeThis study aims to predict artificial intelligence (AI) technology development and the impact of AI utilization activity on companies, to identify AI strategies dealing with the broad innovation activity of AI, and to construct the strategic decision-making framework of AI strategies for a small- and medium-sized enterprise (hereafter SME), to improve strategic decision-making practices of AI strategy in SMEs.Design/methodology/approachThis study used the multiple methods on the design of two data collection stages. The first stage is an expertise-based approach. It organized the three groups of expert panels and conducted the Delphi survey on them in combination with the brainstorming of technology, innovation and strategy in the fourth industrial revolution. The second stage is in the complement approach of expertise-based results. It used the literature review to involve the analysis of academic and practical papers, reports and audio materials relating to technology development, innovation types and strategies of AI. Additionally, it organized the four semi-structured interviews. Finally, this study used the mind-map and decision tree to conduct each analysis and synthesize each analytical result.FindingsThis study identifies the precondition and four paths of AI technological development classifying into specialized AI, AI convergence with other technologies, general AI and AI control methods. It captures the impact of non- and technological innovation through AI on companies. Second, it identifies and classifies the six types of AI strategy: the bystander, capability-building, capability-holding, management-enhancing, market-enhancing and new-market-creating strategy. By using the decision tree, it constructs the strategic decision-making framework containing six AI strategies. Actionable points, strategic priorities and relevant instruments are suggested.Research limitations/implicationsThe strategic decision-making framework covering from AI technology development to utilization in a SME can help understand the strategic behaviours in SMEs. The typology of six AI strategies implies the broad innovation behaviours in SMEs. It can lead to further research to understand the pattern of strategic and innovation behaviour on AI.Practical implicationsThis practical study can help executives, managers and engineers in SMEs to develop their strategic practices through the strategic decision framework and six AI strategies.Originality/valueThis practical study elicits the six types of AI strategy and constructs the strategic decision-making framework of six AI strategies from AI technology development to utilization. It can contribute to improving the practices of strategic decision-making in SMEs.

Purpose This paper aims to construct a systematic theoretical analysis framework from the perspective of knowledge management capabilities, and to explore the empowering effect and the underlying theoretical mechanisms of artificial intelligence (AI) technology application on enterprise technological innovation, thereby providing theoretical references and empirical evidence for policymaking and management practices. Design/methodology/approach This paper selects the operation data and technical invention patent data of Chinese listed companies from 2012 to 2023 to deeply explore the empowering effect of AI on enterprise technological innovation. This paper uses a fixed-effects model to perform regression analysis on the samples, and conducts systematic robustness tests, heterogeneity analysis and extensibility analysis. Findings This study finds that the application of AI technology can systematically enhance enterprises’ knowledge management capabilities (including knowledge acquisition, integration, application and transformation), thereby empowering technological innovation. This conclusion remains robust after a series of robustness checks. Moreover, compared with logical AI technologies, learning AI technologies exhibit a more pronounced empowering effect on enterprise’s technological innovation. The heterogeneity analysis reveals that the empowering effect of AI technology on technological innovation is stronger in enterprises with low financing constraints, high human capital and technology-intensive characteristics. The extended analysis further shows that AI technology application significantly promotes both incremental and radical technological innovations, though its impact on the latter demonstrates a notable lagged effect. Originality/value Based on the theory of knowledge management, this paper constructs a systematic theoretical analysis framework and explores the internal theoretical mechanism of AI empowering enterprise technological innovation from the perspective of knowledge management capabilities. Meanwhile, this paper innovatively uses machine learning methods to conduct text analysis on the annual reports of listed companies, and simultaneously uses the index of AI technology investment to directly quantify and measure the level of AI application of enterprises, and conduct classified research on it (logical AI and learning AI). In addition, this paper deeply explores the differentiated impact of AI on incremental technological innovation and breakthrough technological innovation.

The purpose of the article is to reveal the peculiarities of digital visual culture through the prism of the problems of the production of user content by means of specialised applications for mobile phones. Research methodology. The method of theoretical research, logical-analytical, subject-analytical, system-structural and typological method, as well as cultural and comparative method, was applied, which contributed to the identification of the main trends of digital visual culture. Scientific novelty. The phenomenon of digital visual culture is studied through the prism of the specifics of mobile applications; the problem of interpretation of a visual act in the context of the theory of digital culture is considered; analysed the features of using special effects in modern mobile applications (for example, Snow, Prequel, AirBrush and FaceApp). Conclusions. Mobile applications are based on the features of digital devices (mobility, tactile, multimodal interaction, mediated perception of the world in its dynamics thanks to the built-in front and rear cameras), which radically changed visual culture. At the modern stage, smartphones with touch screens and the ability to install various mobile applications, as one of the digital media, have created a new process of image production and distribution, as well as a new aesthetic sphere open to users. Art applications change the traditional relationship between the production of a work, the viewer and visual culture, providing the user/artist with a collection of stylistic sets. Accordingly, the process of artistic creativity is transformed into the process of choosing one of the proposed options, which is equivalent to the degradation of the aesthetic to the level of entertainment. Mobile apps for editing visual content facilitate representation through simulacra, whereby users define cultural relationships and behaviours in digital environments using non-realistic images. The most common applications at the current stage (Snow, Prequel, AirBrush and FaceApp), thanks to the use of innovative technologies of augmented reality and artificial intelligence, provide the opportunity for unlimited transformation of the ascending image (from retouching and applying beauty filters, to changing plasticity, age, gender, emotions or background).

Technology based on artificial intelligence (AI) is a revolutionary force that is changing economies, civilizations, and industries all over the world. AI, which has its roots in computer science and cognitive psychology, is a wide range of tools and methods designed to make robots capable of doing activities that have historically required human intellect. This abstract examines the many facets of artificial intelligence (AI) technology, including its fundamentals, uses, difficulties, and ramifications. Artificial Intelligence (AI) technology comprises several subfields such as robotics, computer vision, natural language processing, machine learning, and expert systems. Particularly, machine learning techniques have propelled incredible progress by allowing computers to learn from data and make judgments or predictions without the need for explicit programming. Natural language processing allows machines to comprehend, interpret, and produce human language, hence facilitating human-computer interaction. Machines can now see, analyze, and interpret visual data from the real world thanks to computer vision technology. Applications of AI technology may be found in a wide range of industries, including manufacturing, healthcare, finance, transportation, agriculture, education, and entertainment. AI-powered solutions help in drug discovery, medical imaging analysis, diagnosis, and customized therapy in the healthcare industry. AI algorithms are used in finance to power automated trading, fraud detection, risk assessment, and customer support. AI makes it possible for transportation to include predictive maintenance, traffic management, and driverless cars. Artificial Intelligence enhances supply chain management, quality assurance, and production processes in manufacturing. AI technology has the potential to revolutionize many industries, but it also comes with dangers and problems. These include privacy concerns, security hazards, ethical dilemmas, issues with prejudice and fairness, and effects on society and employment. Responsible AI methods, legal frameworks, multidisciplinary cooperation, and ethical standards are all necessary to meet these issues. Future prospects for AI technology development include the ability to solve challenging issues, spur creativity, increase productivity, and improve quality of life. But to fully utilize AI, one must take a comprehensive strategy that strikes a balance between the advancement of technology and ethical issues, human values, and social well-being. In summary, artificial intelligence (AI) technology is at the vanguard of innovation, presenting never-before-seen possibilities to transform whole sectors, spur economic expansion, and tackle global issues. AI has the ability to usher in a future of greater human-machine collaboration, innovation, and wealth through the promotion of collaboration, transparency, and ethical stewardship. the Ranking of the Artificial Intelligence using the TOPSIS Method . Interpretable Models is got the first rank whereas is the Ethical AI is having the Lowest rank. Keywords: Explainable AI (XAI), Interpretable Models, Ethical AI ,Responsible AI, Robustness and Adversarial Defense, Continual Learning, Federated Learning, Human-Centric AI, AI Governance and Policy

We are glad to introduce you that the 2021 3rd International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2021) was successfully held on September 10-12, 2021. In light of worldwide travel restriction and the impact of COVID-19, ICAITA 2021 was carried out in the form of virtual conference to avoid personnel gatherings. Because most participants were still highly enthusiastic about participating in this conference, we chose to carry out ICAITA 2021 via online platform according to the original schedule instead of postponing it.ICAITA 2021 is to bring together innovative academics and industrial experts in the field of Artificial Intelligence Technologies and Applications to a common forum. The primary goal of the conference is to promote research and developmental activities in Artificial Intelligence Technologies and Applications and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Artificial Intelligence Technologies and Applications and related areas.This scientific event brings together more than 100 national and international researchers in artificial intelligence technologies and applications. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches.We were pleased to invite three distinguished experts to present their insightful speeches. Our first keynote speaker, Prof. Yau Kok Lim, from Sunway University, Malaysia. His research interests include Applied artificial intelligence, 5G networks, Cognitiveradio networks, Routing and clustering, Trust and reputation, Intelligent transportation system. And then we had Prof. Peter Sincak, from Technical University of Kosice, Slovakia. His research includes Artificial Intelligence and Intelligent Systems. Lastly, we were glad to invite Chinthaka Premachandra, from Shibaura Institute of Technology, Sri Lanka. His research interests include Artificial Intelligence, image processing and robotics. In the last part of the conference, all participants were invited to join in a WeChat group to discuss and explore the academic issues after the presentations. The online discussion was lasted for about 30-60 minutes. The first two parts were conducted via online collaboration tool, Zoom, while the online discussion was carried out through instant communication tool, WeChat. The online platform enabled all participants to join this grand academic event from their own home.We are glad to share with you that we still received lots of submissions from the conference during this special period. Hence, we selected a bunch of high-quality papers and compiled them into the proceedings after rigorously reviewed them. These papers feature following topics but are not limited to: Artificial Intelligence Applications & Technologies, Computing and the Mind, Foundations of Artificial Intelligence and other related topics. All the papers have been through rigorous review and process to meet the requirements of international publication standard.Lastly, we would like to express our sincere gratitude to the Chairman, the distinguished keynote speakers, as well as all the participants. We also want to thank the publisher for publishing the proceedings. May the readers could enjoy the gain some valuable knowledge from the proceedings. We are expecting more and more experts and scholars from all over the world to join this international event next year.The Committee of ICAITA 2021List of titles Committee member, General Conference Chair, Technical Program Committee Chair, Academic Committee Chair, Technical Program Committee Member, Academic Committee Member are available in this Pdf.

Maximising the Opportunities of Artificial Intelligence for People Living With Cancer

Advances in artificial intelligence (AI) have had a significant impact on the education sector, changing the way students learn, teachers teach, and institutions operate. AI integration supports customization of learning, simplifies administrative tasks, and provides immediate feedback. This creates a more inclusive and efficient learning environment. Despite the benefits and potential of AI in improving the quality of learning, understanding the risks of introducing autonomous systems in education needs serious attention. The focus of this research is to understand the perceptions of students of SMAN 7 Bekasi towards the utilization of AI in their daily lives and teaching and learning process. Awareness of ethical and regulatory implications is crucial to optimize the use of AI properly. This research also looks at the aspects of Digital Ethics, Digital Safety, and Digital Culture as important elements that need to be understood in integrating AI in educational settings. With a deeper understanding of how these technologies are applied at the school level, this research is expected to contribute to the general understanding of the challenges and opportunities associated with the use of AI in education. This research uses descriptive qualitative method with interview method, exploration of scientific articles related to the use of AI in education, especially in high school age youth. Direct observation was conducted at SMAN 7 Bekasi, involving interviews with students. Overall, this research seeks to provide a comprehensive picture of how AI affects students' learning experiences and dynamics in the school environment. By looking at how AI technology is perceived, this research focuses on ethics, regulation, and student understanding.ABSTRAKKemajuan kecerdasan buatan (AI) telah memberikan dampak signifikan pada sektor pendidikan, mengubah cara siswa belajar, guru mengajar, dan lembaga beroperasi. Integrasi AI mendukung penyesuaian pembelajaran, menyederhanakan tugas administratif, dan memberikan umpan balik langsung. Hal ini menciptakan lingkungan belajar yang lebih inklusif dan efisien. Terlepas dari manfaat dan potensi AI dalam meningkatkan kualitas pembelajaran, pemahaman atas risiko pengenalan sistem otonom dalam pendidikan perlu mendapat perhatian serius. Fokus penelitian ini adalah memahami persepsi siswa SMAN 7 Bekasi terhadap pemanfaatan AI dalam kehidupan sehari-hari dan proses belajar mengajar mereka. Kesadaran akan implikasi etika dan regulasi menjadi krusial untuk mengoptimalkan pemanfaatan AI dengan baik. Penelitian ini juga mencermati aspek Etika Digital, Keamanan Digital, dan Budaya Digital sebagai elemen penting yang perlu dipahami dalam mengintegrasikan AI di lingkungan pendidikan. Dengan pemahaman yang lebih mendalam tentang bagaimana teknologi ini diterapkan di tingkat sekolah, penelitian ini diharapkan dapat memberikan kontribusi pada pemahaman umum mengenai tantangan dan peluang yang terkait dengan penggunaan AI dalam pendidikan . Penelitian ini menggunakan metode deksriptif Kualitatif dengan metode wawancara, eksplorasi artikel ilmiah terkait penggunaan AI dalam Pendidikan, khususnya pada remaja usia SMA. Pengamatan langsung dilakukan di SMAN 7 Bekasi, melibatkan wawancara dengan siswa. Keseluruhan, penelitian ini berusaha memberikan gambaran menyeluruh tentang bagaimana AI memengaruhi pengalaman belajar siswa dan dinamika di lingkungan sekolah. Dengan melihat bagaimana persepsi pada teknologi AI, penelitian ini berfokus pada etika, regulasi, dan pemahaman siswa.

In recent years, artificial intelligence (AI) technology has been continuously advancing and finding extensive applications, with one of its core technologies, machine learning, being increasingly utilized in the field of healthcare. This research aims to explore the role of Artificial Intelligence (AI) technology in psychological counseling and utilize machine learning algorithms to predict counseling outcomes. Firstly, by employing natural language processing techniques to analyze user conversations with AI chatbots, researchers can gain insights into the psychological states and needs of users during the counseling process. This involves detailed analysis using text analysis, sentiment analysis, and other relevant techniques. Subsequently, machine learning algorithms are used to establish predictive models that forecast counseling outcomes and user satisfaction based on data such as user language, emotions, and behavior. These predictive results can assist counselors or AI chatbots in adjusting counseling strategies, thereby enhancing counseling effectiveness and user experience. Additionally, this study explores the potential and prospects of AI technology in the field of psychological counseling. The research findings indicate that the designed machine learning models achieve an accuracy rate of approximately 89% in analyzing psychological conditions. This demonstrates significant innovation and breakthroughs in AI technology. Consequently, AI technology will gradually become a highly important tool and method in the field of psychological counseling. In the future, AI chatbots will become more intelligent and personalized, providing users with precise, efficient, and convenient psychological counseling services. The results of this research provide valuable technical insights for further improving AI-supported psychological counseling, contributing positively to the application and development of AI technology.

Every day more and more companies rely on artificial intelligence, from small startups to large companies, among which stand out not only the IT giants Google, Microsoft, Facebook, IBM, but even those that seemingly far from this topic - for example, General Motors and Boeing created a joint laboratory for AI research. It becomes obvious that AI technology is the real mainstream of our time. The article examines the global market for artificial intelligence systems and technologies. The authors described the peculiarities of the formation of this market and the main trends and segments in its development. The goal of research - identify the dynamics, features and trends of the global market for artificial intelligence systems and technologies. The methodology of system analysis, the dialectical method of scientific cognition, methods of historical, logical and comparative analysis are used. The concept of artificial intelligence has been systematized, the dynamics of the global market for artificial intelligence systems and technologies have been revealed, as well as in the regional context. The relationship between its dynamics and the sharp jump in performance of information processing algorithms, which became possible due to the fast computer based on GPUs, an avalanche-like data growth and the emergence of almost unlimited possibilities for storage and technology access, has been detected. It is shown that the global market for artificial intelligence technologies is in a phase of inflated expectations and with a high enough level of risk for investors. The main trends and segments in the development of the global market for artificial intelligence systems and technologies have been identified. These include deep learning technologies, the convergence of AI technologies with other technologies such as analytics, ERP, the Internet of Things, blockchain, and even quantum computing, which has the greatest impact, the development of cognitive intelligence systems, and the creation of a cognitive computer. It is shown that business leaders consider AI fundamental and absolutely necessary for the development of future business opportunities. It has been proven that the rapid development of AI systems and technologies is not just another technological innovation, but the technological platform of the Fourth Industrial Revolution, which is associated with hopes for accelerating the economic growth of the world economy, increasing the competitiveness of countries and companies.

AI Applications in Health Sector: Use of Artificial Intelligence in Covid-19 Crisis and Impacts of Medical Robots on Global Economy

Big data and artificial intelligence (AI) technologies have changed how we live, how we work, and how we organize businesses. Thus, it is no surprise that it is also changing how we manage human resources (HR). For HR leaders, digital transformation is a very hot topic, having the potential to create high value for businesses. First, HR can transform all functions, processes, and systems by leveraging digital platforms and applications. Second, HR can lead business digitalization, enabling a compelling employee experience where a digital culture, a digital workplace, and digital management are welcomed. To provide a more pragmatic perspective, this chapter discusses digitalization of HR with big data and artificial intelligence (AI) technologies and identifies key digital HR strategies and roles needed to sustain the digital transformation. Also, this chapter presents the advantages of digital HR and the basic pitfalls HR faces in the digital transformation of HR.