This article focuses on how different theological perspectives may influence AI acceptance in diverse faith communities. It highlights differences between Western and Eastern Christian traditions, suggesting that the historical emphasis on intellect in Western Christianity might make it more open to AI, though challenges in church integration are acknowledged. Global examples of AI assimilation in religious practices, from a robotic Buddhist preacher to a blessing-delivering robot in a German church, are discussed. The article argues that theological doctrines shape AI perspectives, influencing ethics and raising profound questions about human identity. The ongoing debate questions whether AI threatens theology or fosters enriching dialogue. The article suggests, through historical parallels and the dynamic interplay of theological doctrines and technology, that the relationship between AI and theology could evolve into constructive engagement rather than inherent conflict.

The aim of the study is to present the current situation regarding the strategies and policies for the development of AI skills in public sector executives and to establish a holistic training framework based on European and international standards. The paper systematically presents the existing literature on AI, focusing on policy strategies for the training of public sector executives. Hence, the key points of the strategies for AI, as well as the UNESCO Competency Framework for Digital Transformation and AI, the e-CF, the DigComp and the EQF frameworks are presented. Based on the theoretical tools emerged from the literature review, an assessment of the existing situation and the identification of the needs of the Greek reality is presented. Most importantly, the paper attempts to create a holistic four-level strategic framework, which can be used by the public administration as a roadmap to lay the foundations for a basis for public sector training programmes, and which takes into account a number of factors, such as the hierarchical structure of the public administration, the various qualification and competence frameworks, as well as the principles of educational design and adult education.

This research envisions a future where humans and machines collaboratively enhance decision-making capabilities, fostering harmonious coexistence. Addressing concerns about the potential threat of artificial intelligence (AI) to humanity, the focus shifts to the benevolence of AI entities shaped by human influence. The prospect of AI functioning at a level where authority is wielded by an inaccessible and infallible entity lies in its role as an independent arbiter. This entails the capability to identify cultural barriers and navigate existing political constraints deliberately. Consequently, there is potential for discovering common political ground through algorithmic processes, leading to the resolution of longstanding political issues between states. However, uncertainties persist – perhaps these aspirations may not materialize as expected. The study explores AI's role in international relations and religion, particularly Christianity, emphasizing its potential as an independent arbiter capable of recognizing cultural barriers and navigating political constraints. This research explores the intersection of cultural sensitivity and AI in diplomacy, discussing ethical considerations and benefits. The impact of AI on conflict resolution and peacebuilding is examined, stressing the need for collaborative efforts to establish robust AI standards. Challenges to religious authority, ethical considerations in AI development, and AI's influence on humanitarian aid and religious values are also explored. The research concludes by highlighting the imperative to address algorithmic bias for inclusivity and equitable representation in the digital age.

Lately, the pharmaceutical industry has been implementing artificial intelligence (AI) in research in multiple ways for the purpose of drug discovery. AI has great benefits to offer by performing tasks that a human may not be capable of. However, it also raises many ethical issues that need to be resolved. After describing the general picture, this paper explores the benefits and disadvantages of AI and attempts to find answers to the challenges it poses in order to make sure that its use will be ethical, fair, unbiased and beneficial to people. The challenges addressed below focus on ensuring patients’ safety from biased AI algorithms and violation of their data privacy, the need to train and inform staff properly, as well as the necessity of achieving an optimal level of trust towards AI. In the end, some policy recommendations are being presented, aiming to contribute to the centralized approach and to the balanced sense among the uses of AI. The key to success is always taking into account human agency in order to make AI’s use transparent and robust, while minimizing its risks.

Counterintelligence (CI) and Artificial Intelligence (AI) represent two distinct yet interconnected domains that play pivotal roles in safeguarding National and International Security. On the first hand, CI involves activities and measures taken to identify, prevent and counter any Intelligence activities of hostile entities, such as spying, sabotage and information gathering. On the other hand, AI refers to the development and use of computer systems that can perform tasks that typically require human intelligence, such as learning, reasoning and problem-solving. Subsequently, in the ever-evolving landscape of global security, the rise of AI has ushered in a new era of CI practices. The present paper delves into the intersection of CI and AI, exploring the profound impact of AI on the CI processes and how it is transforming National Security strategies, highlighting at the same time the fields of mutually influence. Ultimately, underscores the imperative of harnessing AI's potential to strengthen CI efforts in an ever-evolving threat landscape. Plus, it investigates the ethical concerns and privacy implications associated with AI in CI emphasizing the imperative of responsible AI development and deployment. Finally, through comprehensive international case studies, offers insights into how United States, China, Russia and Israel have integrated AI into their Intelligence and CI strategies, shedding light on the diverse approaches and challenges faced by different countries. Summarizing, the paper underscores the potential synergy between AI and CI, while also acknowledging the formidable challenges it presents, such as privacy concerns and adversarial AI. Striking a balance between harnessing AI's power and safeguarding national interests remains a pivotal task for policymakers and intelligence agencies in the ever-evolving landscape of national security.

This case study examines the situation of the regional unit Pieria (Greece) as a compelling instance of a regional unit with low vaccination coverage and a right-wing political orientation, depth, and historicity. Apart from the utilization of relevant literature, qualitative research was also conducted for the needs of this case study. A sample of 16 Greek citizens from Pieria, all of whom are voters of one of the three minor Greek right-wing parliamentary parties and have been vaccine hesitant and vocal on social media, is examined as an attempt to enhance our understanding on the role of social media and right-wing attitude regarding vaccine hesitancy within the context of this specific case.

This article highlights the pressing issue of youth gambling addiction, with up to 20% of young individuals engaging in gambling activities, particularly online. With 6-9% of US youth facing gambling problems. This study explores how Large Language Models (LLMs) can enhance harm reduction by providing personalized support, early intervention, and education while respecting privacy. The article draws insights from a review of 45 studies. It was found that youth gambling addiction is a global issue exacerbated by technology and the pandemic. LLMs like GPT-4 offer promise in harm reduction by providing information and support. LLMs can provide vital insights, educational materials, and support for responsible gambling. The article acknowledges potential LLM risks and emphasizes a cautious approach. Recommendations include personalized interventions, online pop-ups, enhanced LLMs, ongoing research, multi-stakeholder collaboration, etc.

In an era marked by remarkable technological advancements, Artificial Intelligence (AI) has emerged as a powerful force in the realm of International Relations. AI's adaptability, which includes automating the processes of foreign policy-making and improving predictive analytics, is swiftly reshaping the ways in which countries participate in international affairs. The impact of AI is notably observed in activities like data analysis, policy assessment, conflict resolution, cybersecurity, language translation, and disaster response, all of which streamline diplomatic activities and enhance communication. This article discusses how AI technology will shape the field of International Relations.

Agriculture has a significant impact on a global scale, shaping economies, societies, affecting the environment, and is the primary source of food, income, and livelihood for a large portion of the world's population. Agriculture also contributes to global trade providing food and raw materials for industries worldwide. Moreover, it affects the population in rural areas not only by providing employment but also promoting cultural heritage and enhancing social interactions. Agritourism or tourism in rural areas has been promoted, and is until today, as a means of boosting rural economies, encouraging the diversification of economic activity, promoting local products and SMEs, ultimately improving the quality of life in rural areas, and avoiding depopulation. Today, digital transformation in agriculture and rural areas is a global policy priority. In this paper, applications of Information and Communications Technologies (ICT) in tourism in rural areas and current tends are explored.

In the last few months there has been widespread discussion about the remarkable progress made in the field of artificial intelligence, specifically large language models such as "ChatGPT". The ethical implications of AI, particularly concerning data protection, have sparked discussions on the necessity of robust regulations. This article examines the intersection of data protection, ChatGPT, and the ethics of AI, it explores Germany's ongoing efforts to strike a balance between harnessing the potential of large language models as ChatGPT and ensuring responsible and transparent use of AI technology in the policy-making realm. The GDPR serves as a guiding framework, necessitating careful consideration of privacy rights and secure handling of personal data when deploying ChatGPT in Germany's policy-making processes. The study draws on analysis on the current laws and regulations of data protection in Germany while studying Germany's commitment to safeguarding personal information through the active presence of The German Federal Commissioner for Data Protection and Freedom of Information. The first section provides a context and presents the policy problem. The second section looks at the available policy options on the role of policymaking in establishing comprehensive regulations regarding the use of ChatGPT and generative AI. The third section provides recommendations on how Germany can ensure the responsible management of ChatGPT, through strengthening data protection laws and regulations, simultaneously, restricting ChatGPT usage to private users and government, also, embracing appropriate usage of generative AI while developing ethical guidelines and best practices to harness its benefits, fostering innovation and advancement.