Artificial Intelligence in University Libraries: Technical, Ethical and Epistemological Challenges in the Context of Moldova

Abstract

Using artificial intelligence (AI) in university libraries creates new opportunities, but also brings many challenges that must be carefully looked at. This article looks at the technical, ethical and knowledge-related parts of this process, showing both the new possibilities of AI and its limits. When we talk about integrating smart technologies, we need to consider the hardware and software that supports them, how they can work together, and the quality of the information they use. The article talks about the risks of bias caused by algorithms, how personal data is protected and how information is chosen. These problems need clear rules to make sure users can trust the system. The text looks at how people know things and the challenges they face. AI is changing the way we understand knowledge and information, which means we need to improve our skills in finding and understanding information, and we also need to keep on learning. Librarians help people to use digital tools in the right way. Through hands-on workshops, online tutorials, and training sessions, libraries can support users in understanding the working principles of algorithms and maintaining their intellectual autonomy. The conclusions say that AI should not be seen as a replacement for human judgment. Instead, it should be seen as a useful tool for research and education. But this must be done in a way that follows strong ethical rules and is supported by the right institutions. So, university libraries can turn these problems into chances to make their role in the knowledge society stronger. JEL: D83, L86, O33, Z11, Z18