Answers are grounded in this paper and cite their sources.
Explores librarians' contributions to ethical AI use in education, suggesting effective strategies for guidance.
The rise of AI tools, such as ChatGPT has transformed academic practices, offering significant benefits such as enhanced learning support, personalised education, and creative problem-solving. These advancements pose ethical challenges, concerning academic integrity, misuses, including plagiarism and reliance on AI-generated content, threaten core educational values like originality, honesty, and intellectual growth. This paper explores the role of librarians as critical mediators in addressing these challenges. Librarians are uniquely positioned to promote ethical AI use by fostering information literacy, guiding proper AI application, and ensuring adherence to academic standards. Their evolving responsibilities include educating students and faculty on AI's capabilities and limitations, mitigating risks like misinformation and misuse, and advocating for institutional policies that balance innovation with integrity. This study underlines the need to guide ethical AI adoption, ensuring the coexistence of technological progress and academic integrity in modern education. Artificial Intelligence (AI) is reforming education and research by enabling modified learning, automating repetitive tasks, and enhancing collaboration. Tools like ChatGPT support educators and students through tailored resources and improved accessibility, while librarians integrate these technologies to enrich library services and foster information literacy. However, ethical concerns, including biases, data privacy risks, and threats to academic integrity, necessitate a balanced approach. This paper emphasises the need for interdisciplinary collaboration, and clear guidelines to ensure AI serves as an enabler, not a replacement for critical learning processes. Librarians play an essential role in promoting responsible AI use, offering workshops on digital literacy, guiding ethical practices, and collaborating with educators to uphold academic integrity. Suggestions include embedding AI training into curriculum, expanding access to AI tools etc.
No takes yet. Share an insight, caveat, or question.
Ofodu et al. (2026) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: