Enhancing library services with artificial intelligence: A framework for an automated news delivery system

This study explores the adoption, applications, usage, training, challenges, and future perception of generative artificial intelligence tools among university librarians in the GCC region. The research aims to assess and evaluate artificial intelligence integration in various library services and operations, identifying training and institutional gaps and exploring librarians’ future perspectives on impact of GenAI in the libraries and their roles. The research employs a descriptive quantitative approach using an online survey targeting librarians working across higher education in the GCC region. The structured survey included questions related to demography, multiple choice responses for selection of AI tools and the application of these tools, and a Likert scale involving construct on measuring AI adoptions, training requirements, challenges and future perspective on GenAI technologies. A total of 160 participants were included in the study and various statistical analysis such as descriptive analysis, independent sample T-test and one way ANOVA tests were conducted to identify the key trends and group differences. The key finding revealed a widespread adoption of generative AI technologies with ChatGPT, Google, Gemini, and Microsoft Copilot being the most frequently used. The study found that librarians were using GenAI tools for various services including answering research queries, summarizing articles, research writing, information retrieval, and enhancing library services. Regardless of high adoption rates, the study highlights significant gaps in training and institutional support for AI technologies, with many librarians relying on self-based training to upskill themselves due to lack of structure AI training programs and institutional support. A country wise analysis revealed UAE, Saudi Arabia and Qatar have made substantial investments in AI training and infrastructure whereas Oman, Bahrain, and Kuwait are lagging. Key challenges include AI content accuracy, data privacy concerns, ethical risks such as bias and plagiarism. The study also found some gender related significant differences primarily related to their tasks. Despite the concerns related to the changing role of librarians and job loss, librarians in GCC reflected a positive and optimistic attitude despite toward AI applications in library and expected strong support from institutions in terms of investment in training and infrastructure for AI technologies. The study provides deep insights into the current state of GenAI adoption in universities libraries across the GCC region, highlighting the regional disparities in AI training and institutional support. It contributes toward the growing literature on AI literacy in Library & information science and offers practical recommendations for academic institutions, policymakers and library & information science professionals to bridge the gap in artificial intelligence skills and competencies and foster responsible use of AI integration in library services.

Objective. This paper discusses the capabilities and implications of Artificial Intelligence (AI) in Nigerian academic libraries. The study emphasizes the importance of libraries using new technologies to improve their operations and services, especially in developing countries like Nigeria. Methods. The research conducted a literature review to examine the capabilities of AI in libraries and its impact on academic libraries. Results. Various AI tools such as natural language recognition, robotics, big data, and machine learning were identified. AI can revolutionize library services, improve information quality, increase productivity, and provide virtual assistance. However, there are challenges to the adoption of AI in Nigerian academic libraries, including high costs, resistance to change, poor network connectivity, privacy and ethical implications, and a lack of supportive cultures. To fully exploit the benefits of AI, libraries must develop plans and policies, train librarians with the necessary skills, and address the challenges associated with AI adoption. Conclusions. AI holds great advantages to enhancing library services in Nigeria, but careful planning and preparation are needed.

Purpose Integrating artificial intelligence (AI) technologies in libraries presents a significant opportunity to enhance library service. This paper aims to investigate the use of AI in public library services, focusing on both theoretical and practical dimensions, to provide valuable guidance for AI-enabled transformation in public libraries. Design/methodology/approach This paper used a mixed-method approach to bridge the global literature of AI adoption in libraries and local Chinese public library practices. A systematic literature review of papers published up to December 2024 on AI applications in libraries worldwide identified key areas of application and practical challenges, followed by a multi-case study examining the practices of 14 Chinese public libraries, tying back to the landscape of AI for library service. Findings AI applications are most commonly focused on enhancing user services and resource management. Chinese public libraries also showed unique strengths in immersive and space-based services. However, challenges persist regarding regional inequities, librarian training and professional development, technical maturity and ethical governance. In China, unbalanced digital infrastructure further complicates AI adoption, requiring context-specific strategies. Originality/value By linking the documented strategies for application fields identified in the global literature with local practices in China, this paper highlights the critical importance of context-specific planning and practice that directly considers the local context, including specific policies, funding structures and existing infrastructure.

Artificial intelligence (AI) is transforming the mental health care environment. AI tools are increasingly accessed by clients and service users. Mental health professionals must be prepared not only to use AI but also to have conversations about it when delivering care. Despite the potential for AI to enable more efficient and reliable and higher-quality care delivery, there is a persistent gap among mental health professionals in the adoption of AI. A needs assessment was conducted among mental health professionals to (1) understand the learning needs of the workforce and their attitudes toward AI and (2) inform the development of AI education curricula and knowledge translation products. A qualitative descriptive approach was taken to explore the needs of mental health professionals regarding their adoption of AI through semistructured interviews. To reach maximum variation sampling, mental health professionals (eg, psychiatrists, mental health nurses, educators, scientists, and social workers) in various settings across Ontario (eg, urban and rural, public and private sector, and clinical and research) were recruited. A total of 20 individuals were recruited. Participants included practitioners (9/20, 45% social workers and 1/20, 5% mental health nurses), educator scientists (5/20, 25% with dual roles as professors/lecturers and researchers), and practitioner scientists (3/20, 15% with dual roles as researchers and psychiatrists and 2/20, 10% with dual roles as researchers and mental health nurses). Four major themes emerged: (1) fostering practice change and building self-efficacy to integrate AI into patient care; (2) promoting system-level change to accelerate the adoption of AI in mental health; (3) addressing the importance of organizational readiness as a catalyst for AI adoption; and (4) ensuring that mental health professionals have the education, knowledge, and skills to harness AI in optimizing patient care. AI technologies are starting to emerge in mental health care. Although many digital tools, web-based services, and mobile apps are designed using AI algorithms, mental health professionals have generally been slower in the adoption of AI. As indicated by this study's findings, the implications are 3-fold. At the individual level, digital professionals must see the value in digitally compassionate tools that retain a humanistic approach to care. For mental health professionals, resistance toward AI adoption must be acknowledged through educational initiatives to raise awareness about the relevance, practicality, and benefits of AI. At the organizational level, digital professionals and leaders must collaborate on governance and funding structures to promote employee buy-in. At the societal level, digital and mental health professionals should collaborate in the creation of formal AI training programs specific to mental health to address knowledge gaps. This study promotes the design of relevant and sustainable education programs to support the adoption of AI within the mental health care sphere.

This exploratory study examines the transformative role of artificial intelligence (AI) in the Philippine media industry, particularly in news media, highlighting both opportunities and challenges. It utilizes a qualitative research method that includes desk reviews, key informant interviews, and focus group discussions with representatives of news media organizations, journalism and communication departments of universities, professional associations, a law firm, and an AI consulting firm. AI adoption in Philippine news media is a relatively recent phenomenon, with most news organizations adopting AI in the early 2020s and private entities leading the way. Some organizations have developed internal AI policies, while others are either crafting or refining their guidelines, indicating self-regulation initiatives. While AI is increasingly used across many newsroom tasks, human oversight and transparency are considered essential to maintain journalistic integrity. It is generally perceived as an augmentation tool rather than a replacement for human work. While there have been no reported job losses linked to AI, concerns persist. Key drivers of AI adoption include having young, tech-savvy staff, a culture of innovation, bottom-up adoption, cost-effectiveness, faster content production, digital competitiveness, and skills enhancement. However, concerns such as inaccuracies in AI-generated output, job displacement, subscription costs, and resistance from older staff and those who prefer traditional methods limit adoption. The perceived risks associated with AI are multifaceted and include hallucinations and biases in AI outputs, the exacerbation of misinformation, and job displacement. Other concerns include cybersecurity breaches, copyright issues, AI over-reliance that could diminish human capacity, the adverse impacts on the sustainability of news media, and environmental consequences. While AI improves operational efficiency, enhances productivity, and boosts audience engagement, it has also posed complex challenges that threaten the sustainability, integrity, and intellectual property of news media organizations. These challenges include declining revenues due to AI-powered platforms that deliver news summaries directly to audiences, diverting traffic away from news sites; the content scraping by platforms and AI tools, which raises serious copyright issues on top of the revenue losses experienced by news publishers; the low accountability of platforms and content creators for the content they circulate, especially when it involves copyrighted materials and false information; and the difficulties that small media organizations face to adapt to the digital age. To address these challenges and promote ethical and responsible use of AI, the study proposes several measures for AI governance. These include developing compensation policies for the media content used in AI training and on various platforms, exploring sustainable business and funding models, holding platforms accountable, enhancing the enforcement of existing laws, supporting small media organizations, developing localized AI models and tools, enhancing media self-regulation, making journalism education responsive to an AI-driven media landscape, enhancing media and information literacy, and addressing digital and AI gaps. Collaboration among all stakeholders is crucial to managing risks and leveraging AI’s potential to strengthen the Philippine news media industry’s role in society.

In the evaluation of consortia and what constitutes these entities the discussion runs the gamut. From small, loosely knit groups who are interested in cooperation for the sake of improving services to large membership driven organizations addressing multiple interests, all recognize the benefits of partnerships. The Federated States of Micronesia are located in the western Pacific Ocean and cover 3.2 million square miles. Throughout this scattering of small islands exists an enthusiastic library community of staff and users that have changed the outlook of libraries since 1991. Motivated by the collaboratvie ef orts of this group, a project has unfolded over the past year that will further enhance library services through staff training and education while utilizing innovative technology. In assessing the library needs of the region this group crafted the document "The Federated States of Micronesia Library Services Plan, 1999-2003," which coalesces the concepts, goals, and priorities put forward by a broad-based contingency of librarians. The compilation of the plan and its implementation demonstrate an understanding of the issues and exhibit the ingenuity, creativity, and willingness to solve problems on a grand scale addressing the needs of all libraries in this vast Pacific region.

This article presents the University of Manitoba Libraries’ (UML) initiative to develop an in-house AI chatbot, a project aimed at enhancing library services through innovative technology tailored specifically to user needs. The chatbot was created to complement existing reference services by triaging routine inquiries and escalating complex questions to human librarians, ensuring personalized support. The article details the project’s stages, including initial research, requirements gathering, design and development, and iterative testing. This case study offers valuable insights and a model for other academic libraries considering similar AI-driven service enhancements.

Background: The rapid adoption of Artificial Intelligence (AI) is changing the library and information services and automates the main processes and introduces new principles of user interaction and accessibility. This change in technology requires librarians to acquire another set of competencies that are related to AI in order to be relevant and effective. Nonetheless, there is a wide disparity between the established potential of AI and the AI literacy and skills that present-day library professionals possess. Objectives: The research will aim to explore the skills in artificial intelligence every contemporary library should possess, evaluate the current extent of AI in libraries and awareness, and reveal the major obstacles that prevent its use. The study aims at developing plans of improving AI literacy and professional growth in the area. Methods: In this study, a quantitative cross-sectional research design was adopted, where the study involved the application of a structured questionnaire to 104 library professionals. The survey tool included demographic variables and a five-point Likert scale gauging the perceptions of the participants in three areas, i.e., awareness of AI, self-reported AI skills, and difficulties in integrating AI. Data analysis was done using descriptive statistics. Results: Results show that there is a high level of optimism about AI in improving affairs in libraries and eliminating workload. Nevertheless, there was also a high level of a confidence gap, and self-reported proficiency in such main areas as AI-based cataloging, data analytics, and chatbot management were low. Although the ethical issues and the lack of technical expertise were mentioned as the key obstacles, the early introduction of AI tools in libraries is still in its infancy. It was overwhelmingly stated that most of the respondents were willing to learn and they needed more professional development. Conclusion: The conclusion of the study is that Librarians have a positive attitude towards AI, but a significant skills gap and moral issues prevent its successful implementation. To bridge this gap, targeted training programs, modernization of LIS curricula, and the development of ethical frameworks are urgently recommended. Empowering librarians with AI literacy is crucial for the evolution of user-centric, efficient, and future-ready library services.

Purpose: This study assesses the perception of librarians toward the diffusion of artificial intelligence (AI) in academic libraries in Nigeria. Methodology: A questionnaire survey comprising 24 questions was distributed to librarians across selected institutions at the end of the 2024 academic session. Findings: Findings indicate that librarians do not yet fully recognize the transformative potential of AI, highlighting a gap in awareness and training. The study reveals a need for continuous professional development to keep pace with AI advancements and their applications in library services. Additionally, while library users express interest in AI-driven services, few academic libraries in Nigeria have implemented such programs. Implication: This research contributes to the limited literature on librarians' perceptions of AI and offers practical recommendations for integrating AI into academic libraries to enhance efficiency and user satisfaction. Originality/Value: A coordinated effort involving policymakers, library administrators, and educators is essential to harness AI's full potential and ensure sustainable growth in the digital era. Keywords: Artificial intelligence: Academic libraries, Librarians’ perceptions; Nigeria, AI adoption

This study examines the adoption of artificial intelligence (AI) among micro and small hospitality enterprises in Slovenia, a small EU economy where digital transformation remains limited. It explores how organisational characteristics and managers’ attitudes toward AI are related to its adoption and firms’ operating revenues. Data were collected from 286 accommodation and food-and-beverage enterprises through a structured questionnaire completed by managers or owner–managers, complemented by secondary official financial data. Using ordinary least squares regression, the analysis examined associations among organisational characteristics, managerial attitudes, AI use intention and adoption, and financial performance. The results indicate that firm size and structural features alone are not closely linked to digital transformation. AI adoption shows stronger associations with managers’ positive attitudes and with factors such as non-family ownership and smaller firm size. The overall General Attitudes toward AI Scale (GAAIS) score showed no direct relationship with revenue, but two specific items—enthusiasm for AI and recognition of business opportunities—were positively associated with higher revenues. Among AI tools, only smart text editors and CRM systems were statistically associated with revenues, suggesting that better-performing firms are more likely to use simpler, more affordable technologies. The study provides contextual evidence on behavioural and organisational dimensions of AI adoption in resource-constrained hospitality SMEs.

The present study investigates the potential impact of artificial intelligence (AI) on the future trajectory of human civilization. It focuses on topics such as super-exponential growth, the potential emergence of a galactic civilization, and the associated "doom" hazards. A significant advancement in machine intelligence with human-like consciousness, strong artificial intelligence (AI), also known as artificial general intelligence (AGI), creates new opportunities and capacities. There's growing anxiety about the risk that weak AI will eventually become strong AI. Every year, new transformer models that are more like human interactions are being created, and we have already witnessed some indications of AGI. It is anticipated that AI will reach a "singularity" and advance on its own without assistance from humans. This thesis explores the theoretical and practical foundations, model building blocks, development processes, challenges, and ethical issues surrounding the creation of Consciousness AI (AGI). This paper examines the meaning of the term "technological singularity," the various types of singularities that have no point of return idea, the philosophical risks associated with the development of AI, and the implications of AI singularity for monetary theory and the new economic order. As a new perspective on the deployment of ethical AI in the face of tremendous technological advancements, the study not only contributes to the theoretical discourse but also explores the possible practical implications of AI on our shared future. Several obstacles to AI advancement are covered in the paper, along with prospective directions for future research.

Artificial intelligence (AI) and big data are technologies with the potential to transform transfusion medicine (TM). This survey explored the scope of AI and big data use in TM across the Eastern Mediterranean and North Africa region. A survey was distributed among transfusion professionals to explore current use, perceived benefits and barriers to adopting AI and big data. Fifty respondents participated; the majority worked in national/regional transfusion services, and 58% worked in academic institutions. Only 24% reported using AI in daily TM practice, primarily for administrative tasks, education and research. Clinical applications were mainly in blood donor recruitment and management. Most used generative AI tools (92%) and were self-taught. Big data were employed in 36% of respondents' institutions, most often for inventory forecasting and optimizing blood product utilization. Most institutions used data based on laboratory information systems (89%), donor databases (72%) and electronic healthcare/patient records (67%). The main challenges and concerns regarding AI adoption were the lack of regulatory guidance, limited expertise, insufficient clinical validation of AI tools, implementation cost and ethical and privacy concerns. In terms of big data, the key barriers were insufficient expertise in data management and a lack of infrastructure for data storage. AI and big data adoption in TM within the region remains limited. Major barriers include regulatory gaps, lack of expertise, cost constraints and infrastructure limitations. Strategic investment in regulatory frameworks, targeted training and technical resources is essential to facilitate safe and effective integration into transfusion practice.

Artificial intelligence is one of the leading technologies today, which is rapidly spreading into all spheres of human activities including education. In 2023, GPT chat was ranked fourth in the Top 100 Tools for Learning rating, which demonstrates the powerful potential of artificial intelligence tools for the development of innovative processes in education. Accordingly, educators need to understand what artificial intelligence is, its features, and how it can be used to replace the routine activities of both teachers and students in teaching and learning. The authors conducted a survey of primary school teachers about their understanding of this notion, ways to use it as their assistant, advantages and disadvantages of artificial intelligence, and prospects for its development and application in all areas of human activity. The level of respondents' knowledge and skills in artificial intelligence, its features and functions was determined. The professional standard of a primary school teacher and the types of activities, through which the teacher's labor functions are realized and for which it is advisable to use artificial intelligence tools, are analyzed. The development of primary school teachers' competencies can be positively influenced by the use of artificial intelligence in their professional activities. The authors describe digital artificial intelligence tools that will be useful for primary school teachers and classify them according to the types of their pedagogical activities. The areas of activity in which artificial intelligence can act as a teacher's assistant, as well as areas that are currently beyond the capabilities of artificial intelligence, are identified. It is concluded that primary school teachers need to be trained to use artificial intelligence in their professional activities and to transfer knowledge about artificial intelligence to pupils, as well as ways to teach pupils the features of artificial intelligence, methods of its application for teaching pupils and for their own professional development.

This article aims to examine the opportunities and challenges of artificial intelligence (AI) in academic writing and research skills. It suggests recommendations that universities can use to develop to enhance the proper use of AI. As many institutions continue to embrace and use AI tools worldwide, questions surrounding its utilisation in the education sector continue to emerge. Following the continued adoption of AI in academia, several studies have been conducted to examine its impact. Some studies reveal that AI can be instrumental in scientific and academic research while inspiring new research topics and areas. However, universities in Kenya face challenges in tapping into AI opportunities and addressing the challenges associated with AI adoption, such as plagiarism and misinformation. Therefore, the main objective of this article was to analyse the gaps in AI in academic writing and research skills in Kenyan universities. It has two aims: firstly, it analyses the opportunities associated with AI tools in academic writing and research skills, and secondly, it examines the challenges Kenyan universities face in using AI tools. A semisystematic literature review from EBSCO and Google Scholar databases for peer-reviewed articles, policies, internet websites, government documents, parliamentary bills, online digital news, and institutional documents published since 2017 was conducted. Four key steps were used in literature identification: search, inclusion and exclusion criteria, development of themes, and analysis. Our findings suggest that adopting AI in academic writing and research skills is integral for quality research and academic integrity in universities. We recommend the formulation of AI policy frameworks that will regulate and support academic research integrity in universities. The findings will add to the available literature pool of knowledge on how Kenyan and other African universities are preparing to integrate AI into academia and will identify areas that need more attention from scholars to enhance the teaching and learning experience.

Real-World Surveillance of FDA-Cleared Artificial Intelligence Models: Rationale and Logistics.