artificial intelligence (AI)

The objective of this study is to verify the importance of the capabilities of cloud computing services in managing and analyzing big data in business organizations because the rapid development in the use of information technology in general and network technology in particular, has led to the trend of many organizations to make their applications available for use via electronic platforms hosted by various Companies on their servers or so-called cloud computing that have become an excellent opportunity to provide services efficiently and at low cost, but managing big data presents a definite challenge in the cloud space beginning with the processes of extracting, processing data, storing data and analyze it. Through this study, we dealt with the concept of cloud computing and its capabilities in business organizations. We also interpreted the notion of big data and its distinct characteristics and sources. Finally, the relationship between cloud computing with big data was also explained (extraction, storage, analysis).

Architecture as a designerly way of thinking and knowing is to interact with its environment. The manuscript is to speculate “interactive form-generation” based on high-performance architecture theory, and discuss the precursors and the potentials. The research aims to explore and determine the roots, aspects of interactive architecture as a part of performance-based design in contemporary architecture. The research question opens a designerly perspective as an umbrella term that can include many streams of architectural paradigms. Emancipatory new-interpretivism is the research philosophy which is employed alongside deductive reasoning, logical argumentation research paradigm, descriptive research method and cross-sectional study. Based on methodology of the manuscript, the research is to addresses related phenomena, their relationship and interaction. The results of the research show that interactive architecture is an umbrella to address a wide-range of architectural emerging streams such as: 1- The evolutionary architectural trends include kinetics, responsive, smart, responsive and intelligent environment. 2- The emerging phenomena in the field such as leading sci-tech approach toward architectural design process including cybernetics, artificial intelligence (AI), virtual reality (VR), conditional generative adversarial network (cGAN), and agent based modeling. The conclusion of the research indicates that the interactive architecture branched off from high-performance architecture theory. The conclusion emphasizes on: 1- Designerly flexibility: better space efficiency, flexibility, intelligence, and smartness; 2- Energy efficient form-generation: using less energy and offering more thermal-visual comfort; 3- Mathematical-algorithmic thinking: the integration of internet of things (IoT), robotics, and kinetics. 4- Futurism: a platform for outlining future architecture and architecture of the future.

The present research examines the benefits of implementing knowledge management (KM) principles in the Jordanian banking sector to enhance performance. The study emphasizes the significance of Artificial Intelligence (AI) and how Jordanian banks utilize it to improve the quality of customer service they provide. This study targets managers at all levels and focuses on the Jordanian banking sector as its research environment. A questionnaire is created to gather information from a random sample to achieve the research's objectives. The study involves a sample of 250 managers. Additionally, the research adopts a descriptive methodology, and SPSS is used to analyze the data. The statistical findings provide robust evidence for the importance of performance expectations, social influence, and perceived risk in influencing consumer intentions. Marketers and decision-makers within the banking industry can leverage these insights to shape their long-term strategies for effectively utilizing and maximizing AI technology in the banking sector. Furthermore, by providing policymakers and practitioners of Jordanian commercial banks with insight into the variables influencing user satisfaction, the findings will help these complex institutions operate more effectively.

The eXtensible Business Reporting Language (XBRL) functions as an independent, open platform that facilitates efficient information transmission over the Internet, improving business information utilization. Despite its widespread adoption and numerous benefits, unresolved assurance issues undermine its effectiveness, revealing a significant research gap. This study explores the complex landscape of XBRL data assurance challenges within the Malaysian Business Reporting System (MBRS). Utilizing a qualitative case study methodology, the research highlights key challenges in XBRL data assurance and presents strategic, innovative solutions. Through semi-structured interviews and document analysis, insights from diverse stakeholders are captured, revealing the development of artificial intelligence-enhanced audit software aimed at improving the quality of XBRL filings in Malaysia. Despite its potential, awareness of this advanced software among preparers remains disappointingly low. This research serves as a valuable resource for practitioners and researchers, offering an in-depth analysis of XBRL data assurance challenges and pioneering solutions, thereby making a significant contribution to this critical field.

Introduction: AI technologies have led to transformative changes in various industries across medicine and healthcare, environmental assessments, smart cities, smart surveillance and security etc. In this article, the dual nature of AI has been investigated. Material and Methods: It is a review article that described the ethical concerns of societies in AI. Conclusion: Despite of the many amazing prospective applications, there are ethical and dual use issues of AI which necessitates enhanced governance and vigilance. Addressing these issues requires adherence to the basic ethical principles. Herein, we present the various concerning dimensions of the AI and discuss them under the lens of ethical concepts.

Background: Misinformation has undergone significant transformations over the past few decades, evolving from relatively simple text-based fake news articles to highly sophisticate AI-driven content such as deepfakes and other forms of manipulated media.Aims: This paper traces the historical development of misinformation, its increasing reliance on Artificial Intelligence (AI), and the potential future trajectories of disinformation as AI technologies advance.Methodology: We begin by examining the shift from traditional text-based disinformation campaigns, often propagated via social media platforms, to more immersive and persuasive forms of AI-generated media.Discussions: We discuss how AI techniques, such as Generative Adversarial Networks and Natural Language Processing, have revolutionized the landscape of false information, allowing for the automation of misinformation production and its widespread dissemination at an unprecedented scale. Furthermore, this paper investigates the role of social media algorithms in amplifying disinformation, demonstrating how these platforms, originally designed to prioritize user engagement, inadvertently aid in the spread of false information by promoting sensationalized or emotionally charged content. Through an in-depth analysis of case studies, including the COVID-19 pandemic and the 2020 U.S. elections, this paper highlights the dangers posed by AI-generated misinformation, particularly deepfakes, which are becoming increasingly difficult to detect, even by advanced AI systems. The implications of this shift for democratic processes, public trust, and societal cohesion are profound. This paper also explores the ethical dilemmas posed by AI-driven misinformation and presents potential solutions through the lens of AI-enhanced detection technologies and policy interventions. Lastly, this paper emphasizes the urgent need for interdisciplinary cooperation between policymakers, technologists, and media organizations to mitigate the harmful impacts of AI-driven misinformation while preserving the integrity of information in the digital age.Conclusions: By exploring both technological and regulatory approaches, a comprehensive framework for understanding the evolving threat of AI-driven disinformation is essential and pathways for future research in this critical area is suggested.