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The article aimed to identify the attitudes of media students in Jordanian universities regarding employing artificial intelligence (AI) in learning in Jordan and the most prominent challenges they face in acquiring sufficient knowledge of AI interventions. In this regard, we rely on a survey approach based on knowing the attitudes of media students regarding applications of AI in learning through their responses via a questionnaire of (33) items distributed to a random sample of 338 students. The results revealed that the most prominent trend among media students towards using AI in learning is that AI helps improve the efficiency and speed of editing processes, improves the quality of content, and enhances the learning experience. The results also showed that the fields of employing AI in learning are editing and media writing, \"producing and inventing new forms of media materials,\" and discovering sources. The results showed that the most prominent disadvantages of employing AI in learning are weakening students' ability to develop critical thinking skills and weakening the student's direct human interaction with teachers or colleagues. It showed that the most important challenges facing media students in employing AI are the lack of awareness of the importance of using AI in education and the lack of a clear strategy in Jordanian universities for applying AI to learning.

This article investigates the transformative impact of artificial intelligence (AI) on modern warfare, international relations, global security, and arms race dynamics. Through a comprehensive literature review and comparative analysis, it examines how major powers, including the United States, China, Russia, the European Union, and India, alongside emerging players like the United Arab Emirates, Egypt, and Saudi Arabia, are heavily investing in AI-driven military technologies, such as autonomous drones, predictive analytics, and lethal autonomous weapons systems (AWS). The findings reveal a global race to integrate AI into military arsenals and strategies, with substantial budget allocations reflecting its strategic priority across diverse geopolitical contexts. These investments raise profound ethical and governance challenges, particularly concerning AWS's accountability, compliance with international humanitarian law, and the risk of unintended conflict escalation. The article recommends conducting strategic studies to evaluate AI's implications for military applications, community security, and international relations. It advocates for robust ethical frameworks and global cooperation to mitigate the risks of an AI-driven arms race while leveraging AI's potential to enhance strategic capabilities responsibly.

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) offers transformative potential for advancing sustainable development, aligning with the United Nations' 2030 Agenda for Sustainable Development. This study conducts a systematic literature review (SLR) of 72 peer-reviewed studies (2019-2025) to explore innovative models, methods, and applications of AI-IoT in promoting sustainability. Grounded in systems theory, socio-technical systems, and sustainability science, the findings highlight prevalent models like smart cities and precision agriculture, advanced methods such as machine learning and edge AI, and applications across energy, agriculture, healthcare, transportation, and water management. Key outcomes include 15-25% efficiency gains in renewable energy and up to 30% reductions in water usage. However, challenges such as data privacy, algorithmic bias, and digital divide, coupled with an urban bias in applications, underscore the need for ethical and inclusive approaches. Research gaps, including limited longitudinal studies and rural underrepresentation, point to future directions like green AI frameworks and standardized protocols. This article provides actionable recommendations for policymakers, practitioners, and researchers to foster equitable, sustainable AI-IoT solutions, contributing to the global pursuit of the Sustainable Development Goals.

In the fast-changing world of artificial intelligence (AI) , the relationship between technology and decision-making has become a central area of study. Over the past five years, numerous papers have been published examining how AI methods are applied to decision-making processes across various industries. This article aims to highlight the key potential of artificial intelligence to enhance decision making. It does so by systematically reviewing the literature on the role of AI in improving decision-making, particularly studies published between 2020 and 2024. The review consolidates the main findings from articles in renowned databases such as Google Scholar, Scopus, and IEEE Xplore, offering a comprehensive understanding of AI's impact on decision-making while identifying its advantages and the challenges that must be addressed for future adoption. The results show that AI can significantly improve the efficiency, accuracy, and flexibility of decision-making, particularly through machine learning, predictive analytics, and natural language processing. However, challenges such as ethical concerns, user trust, and the need for transparency in AI models remain significant barriers.