Annotated Bibliography of Artificial Intelligence Research Studies

Author: Brady D. Lund

Introduction

This annotated bibliography compiles artificial intelligence (AI) research articles authored by Brady D. Lund during the early stages of his academic career. Each entry includes a summary of objectives, key findings, and research implications. Organized chronologically, this resource supports researchers investigating AI applications in libraries, education, and broader societal contexts. The page is periodically updated as new AI research studies are published.

Research Summary

Brady D. Lund's artificial intelligence research investigates how AI technologies influence libraries, educational institutions, scholarly communication, and community engagement. Key themes include:

List of Research Resources

Lund, B. D., Omame, I., Tijani, S., & Agbaji, D. (2020)

Title: Perceptions toward artificial intelligence among academic library employees and alignment with the diffusion of innovations’ adopter categories

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Keywords: Academic Libraries, Diffusion of Innovations, Technological Change

This study investigates librarians’ perceptions of AI and their adopter category placement using Rogers' Diffusion of Innovations theory. It offers insights into promoting AI adoption in academic libraries and can inform strategies for training, communication, and change management in public institutions.

Lund, B. (2021)

Title: The Fourth Industrial Revolution: Does It Pose an Existential Threat to Libraries?

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Keywords: Libraries and Emerging Technologies, Strategic Planning, Future of Librarianship

This article provides a strategic perspective on emerging technologies reshaping libraries during the Fourth Industrial Revolution. It promotes proactive technology integration and adaptability in librarianship.

Lund, B., & Ma, J. (2021)

Title: A review of cluster analysis techniques and their uses in library and information science research: k-means and k-medoids clustering

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Keywords: K-means Clustering, Machine Learning in LIS, Scientometrics

This literature review introduces machine learning-based cluster analysis for LIS researchers, supporting data-driven studies in scientometrics and bibliometric mapping.

Nie, B., Wang, T., Lund, B. D., & Chen, F. (2022)

Title: How does AI make libraries smart?: A case study of Hangzhou public library

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Keywords: Public Libraries, Developing Countries, Library Service Enhancement

Focusing on a case study in Hangzhou, China, this paper showcases AI-driven innovation in public library services in developing countries, offering a scalable integration model.

Lund, B. D., & Wang, T. (2023)

Title: Chatting about ChatGPT: How may AI and GPT impact academia and libraries?

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Keywords: AI and Information Services, Chatbots, Responsible AI Deployment

This article explores ChatGPT’s potential in libraries and academic institutions, highlighting benefits and ethical concerns related to AI chatbots and content generation.

Lund, B. D., Wang, T., Mannuru, N. R., Nie, B., Shimray, S., & Wang, Z. (2023)

Title: ChatGPT and a new academic reality: Artificial Intelligence-written research papers and the ethics of the large language models in scholarly publishing

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Keywords: AI in Academic Research, AI-Generated Content, AI-Assisted Authorship

This paper examines generative AI's impact on academic writing and publishing, addressing ethical challenges and calling for AI governance frameworks in scholarly research.

Lund, B., Agbaji, D., & Teel, Z. A. (2023)

Title: Information literacy, data literacy, privacy literacy, and ChatGPT: Technology literacies align with perspectives on emerging technology adoption within communities

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Keywords: AI Adoption, Community Technology, Digital Divide

This study analyzes how digital literacy levels shape community adoption of ChatGPT, identifying literacy gaps and emphasizing the need for targeted outreach and education.

Wang, T., Lund, B. D., Marengo, A., et al. (2023)

Title: Exploring the potential impact of artificial intelligence (AI) on international students in higher education

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Keywords: AI Chatbots in Education, Personalized Learning, Student Success Measures

Examining AI’s role in supporting international students, this paper evaluates chatbots, analytics, and adaptive learning, while addressing cultural, privacy, and ethical concerns.

Teel, Z. A., Wang, T., & Lund, B. (2023)

Title: ChatGPT conundrums: Probing plagiarism and parroting problems in higher education

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Keywords: AI Plagiarism, Stochastic Parroting, AI Adoption in Academic Settings

This paper highlights the rapid advancements in NLP, particularly ChatGPT's ability to generate human-like text. It discusses ethical implications like plagiarism and parroting in academic environments, laying a foundation for further research into human-AI interaction and responsible AI deployment.

Lund, B., & Shamsi, A. (2023)

Title: Examining the use of supportive and contrasting citations in different disciplines: a brief study using Scite (scite.ai) data

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Keywords: Citation Analysis, Supporting vs Contrasting Citations, Academic Disciplines

This study uses Scite data to analyze citation behaviors across disciplines, revealing differences in supportive and contrasting citations. It offers insights into how citation patterns vary and how tools like Scite can enhance research practices.

Mannuru, N. R., Shahriar, S., Teel, Z. A., et al. (2023)

Title: Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development

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Keywords: AI and Sustainable Development, Technological Gap, Access

This paper evaluates how generative AI affects development in low-resource regions, balancing opportunities for inclusive progress with challenges in infrastructure and access. It advocates for targeted support to leverage AI for sustainable development.

Lund, B. (2023)

Title: The prompt engineering librarian

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Keywords: Prompt Engineer, AI Literacy, AI Accessibility

This paper proposes that librarians take on the role of "prompt engineering educators," equipping the public to better interact with AI tools. It emphasizes librarians' unique position to foster AI literacy and accessibility through community education.

Lund, B. D., & Naheem, K. T. (2024)

Title: Can ChatGPT be an author? A study of artificial intelligence authorship policies in top academic journals

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Keywords: AI in Academic Publishing, Academic Journals and AI Guidelines, Scholarship

Investigating 300 academic journals, this study reviews policies on AI authorship, revealing trends by publisher and discipline. It contributes to the conversation around ethical AI integration in academic writing and policy development.

Lund, B. D., & Teel, Z. A. (2024)

Title: Fear of AI, Christianity, and the modern library

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Keywords: AI and Religion, Christian Perspectives on AI, AI and Ethics

This article explores how Christian communities view AI, identifying fears and misconceptions. It emphasizes the role of libraries in facilitating faith-based and informed discussions on ethical technology adoption.

Lund, B. D., Khan, D., & Yuvaraj, M. (2024)

Title: ChatGPT in medical libraries, possibilities and future directions: An integrative review

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Keywords: AI in Health Information Retrieval, Chatbots in Medicine, Healthcare Information

This review highlights ChatGPT's role in medical libraries, identifying benefits and challenges in information services. It calls for ethical considerations and further research to optimize AI use in health information contexts.

Saeidnia, H. R., Kozak, M., Lund, B. D., & Hassanzadeh, M. (2024)

Title: Evaluation of ChatGPT’s responses to information needs and information seeking of dementia patients

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Keywords: AI in Dementia Care, AI in Healthcare Support, Information Behavior

This study assesses ChatGPT's utility for informal caregivers of dementia patients, noting its strengths in general support and weaknesses in clinical depth. It recommends enhancing model accuracy for healthcare-specific applications.

Saeidnia, H. R., Hashemi Fotami, S. G., Lund, B., & Ghiasi, N. (2024)

Title: Ethical considerations in artificial intelligence interventions for mental health and well-being

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Keywords: Ethical AI in Mental Health, Mental Health Interventions, AI Transparency

This review identifies ethical issues in AI mental health interventions, including privacy and bias, and provides a framework for responsible implementation. It emphasizes stakeholder involvement and transparency.

Lund, B. (2024)

Title: Bothorship: AI chatbot authorship after two years

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Keywords: AI Authorship, AI in Scholarly Publishing, AI and Non-Native English Speakers

This paper explores "bothorship"—AI-assisted academic writing—and its potential to support non-native English speakers. It discusses benefits, challenges, and ethical questions in AI-driven manuscript preparation.

Shahriar, S., Lund, B. D., Mannuru, N. R., et al. (2024)

Title: Putting GPT-4o to the sword: A comprehensive evaluation of language, vision, speech, and multimodal proficiency

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Keywords: GPT-4o Evaluation, Multimodal Capabilities, AI Performance Assessment

This paper evaluates GPT-4o across multiple modalities, highlighting strengths in language and weaknesses in visual/audio ambiguity. It offers a benchmark for future multimodal AI systems and identifies areas for improvement.

Lund, B. D., Mannuru, N. R., & Agbaji, D. (2024)

Title: AI anxiety and fear: A look at perspectives of information science students and professionals towards artificial intelligence

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Keywords: Fear of AI, AI Adoption, Demographic Factors and AI Anxiety

This study explores demographic factors influencing AI fear among students and professionals in information science. It proposes targeted education to reduce anxiety and encourage responsible adoption.

Lund, B. D., Agbaji, D., & Mannuru, N. R. (2024)

Title: Perceptions of the Fourth Industrial Revolution and AI’s Impact on Society

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Keywords: Industry 4.0, Public Perceptions of AI, AI and Society

This study analyzes how individuals perceive AI's societal impact during Industry 4.0, revealing optimism and concern over automation, regulation, and misinformation. It informs ethical and policy discussions.

Lund, B. (2025)

Title: Diffusion of innovations: still a relevant theory for studying library technology in the age of AI?

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Keywords: Diffusion of Innovations Theory, Tech Adoption in Libraries, Adopter Categories

This article critiques the relevance of Rogers’ diffusion theory in modern library tech adoption, suggesting revised frameworks to capture evolving behavior in AI-driven environments.

Saeidnia, H. R., Hosseini, E., Lund, B., et al. (2025)

Title: Artificial intelligence in the battle against disinformation and misinformation: a systematic review

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Keywords: AI and Misinformation, Algorithmic Detection of Misinformation, Human Oversight

This systematic review evaluates AI's role in combating misinformation, emphasizing algorithmic strategies and the critical need for human oversight and collaborative approaches.

Lund, B., Orhan, Z., Mannuru, N. R., et al. (2025)

Title: Standards, frameworks, and legislation for artificial intelligence (AI) transparency

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Keywords: AI Legislation, Ethical AI Deployment, Cross-Border AI Regulation

This comparative study analyzes global AI transparency regulations, identifying shared principles and challenges. It supports policy development and cross-border ethical AI governance.

Lund, B. D., Lee, T. H., Mannuru, N. R., & Arutla, N. (2025)

Title: AI and academic integrity: Exploring student perceptions and implications for higher education

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Keywords: Ethical Beliefs and Academic Misconduct, Academic Ethics, University Policy

This study explores student perceptions of AI-enabled academic misconduct, revealing strong ethical concerns and calling for improved AI literacy and institutional policy clarity.

Shubha, T. A., Vaidya, P., Ali, P. N., & Lund, B. D. (2025)

Title: Integration of AI-based applications in education: how students feel about the ChatGPT era?

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Keywords: AI in Education, Graduate Students and ChatGPT, AI Adoption in India

This study examines graduate students’ use of AI tools in Northeast India, noting both enthusiasm and barriers like poor infrastructure. It highlights region-specific needs for AI literacy and support.

Bevara, R. V. K., Mannuru, N. R., Lund, B. D., et al. (2025)

Title: Beyond ChatGPT: How DeepSeek R1 may transform academia and libraries?

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Keywords: DeepSeek in Academia, ChatGPT vs DeepSeek, AI in Academic Libraries

This paper compares DeepSeek R1 and ChatGPT, focusing on academic use. It outlines ethical considerations and offers guidance for institutions evaluating advanced AI tools.

Bevara, R. V. K., Lund, B. D., Mannuru, N. R., et al. (2025)

Title: Prospects of Retrieval Augmented Generation (RAG) for Academic Library Search and Retrieval

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Keywords: RAG in AI Systems, AI in Academic Libraries, RAG System Integration in Libraries

This article examines RAG systems’ potential in academic libraries, emphasizing their integration with traditional search tools. It presents a framework for ethical and effective RAG adoption.