With digital repositories becoming as crucial instruments for archiving and disseminating scholarly content, open access (OA) in academic publication has emerged as a key component in the democratization of knowledge. However, maintaining, finding, and effectively using these resources has become more difficult due to the exponential rise of information. Artificial intelligence (AI) provides creative answers to these problems, revolutionizing the operation of digital repositories and improving the sharing of knowledge. Accessibility, personalization, search and discovery, and metadata management are all being transformed by AI technologies. Semantic Scholar and Deep AI enhance search capabilities, while Google Dataset Search, Tagtog, and Data Cite Fabrica automate metadata creation and standardization. Modern digital archives are increasingly characterized by personalized user experiences that offer collaborative opportunities based on user activity. Chatbots driven by AI and Zotero help users locate materials and navigate repositories. AI is essential to overcoming issues like vision impairments, language hurdles, and other obstacles by making digital repositories more accessible and inclusive. However, it is necessary to address ethical issues including openness, data privacy, and prejudice reduction. The goal of universal access to knowledge is becoming more and more attainable with the adoption of AI-driven solutions, enabling scholars, educators, and students everywhere.
Mansi Arora (Sun,) studied this question.