How AI will transform the future of libraries and research institutions
Libraries and archives, as repositories of human knowledge and important infrastructure for scientific research, hold a significant role in society. However, the rapid adoption of artificial intelligence poses a challenge to their traditional roles and values.
To preserve these institutions as hubs of knowledge and innovation, it is important to carefully evaluate the impact of AI and develop thoughtful approaches to its integration, Kazinform News Agency correspondent reports, citing CIGI (Centre for International Governance Innovation).
The advantages of AI
Artificial intelligence offers a wide range of benefits, from automating complex tasks to enhancing user experiences. AI technologies can accelerate processes like cataloging, inventory management, and subject indexing, freeing staff to focus on more creative and strategic work.
One of AI's key achievements is the speed and efficiency it brings to digitizing archives. With text recognition technology, rare books and unique documents become accessible to a broader audience. Automated systems also reduce the risk of human error and provide more reliable information storage, safeguarding valuable data from loss or damage.
AI can also optimize data management by processing large volumes of information and identifying key trends. Its algorithms can assist users in finding suitable books and resources, offering a personalized experience. This enables libraries to effectively adapt their services and collections to meet the changing needs of their users.
Moreover, AI helps break down language barriers through advanced translation tools, fostering global knowledge sharing. Inclusivity in libraries is further enhanced with AI. People with disabilities gain improved access to library services through technologies like automatic audiobook translation into sign language and virtual assistants for navigation.
The era of immersive learning, powered by augmented and virtual reality technologies, enriches educational experiences. Users can embark on virtual tours, explore historical sites, or interact with holographic objects, making learning more engaging and dynamic.
Risks of AI use
Despite its clear advantages, the use of AI comes with risks. One of the primary concerns is the potential loss of critical thinking among users. People may begin to rely on AI for intellectual tasks such as searching, analyzing, and interpreting data.
If AI is trained on biased data, it may reproduce and amplify existing prejudices and inequalities, negatively impacting the quality of services provided. There is also the threat of errors, such as AI "hallucinations," where systems generate inaccurate information. These mistakes undermine trust in data, and the automation of access to knowledge could limit its diversity.
A particular concern is the concentration of resources in the hands of large corporations, creating monopolies where access to knowledge and analysis technologies is controlled by only a few players. This poses a threat to academic freedom and reduces the diversity of ideas. Additionally, the use of AI raises risks related to user data protection, especially if systems lack adequate security measures.
How AI implementation should occur
The implementation of AI in libraries and archives should be based on agreed-upon principles. Key priorities include:
· Preservation of context and data integrity – both physical and digital.
· Sustainability – systems should be durable and account for social and environmental impacts.
· Transparency – clear understanding of how AI tools are used and for what purposes.
· Staff training – libraries should educate staff and researchers on working with AI to minimize risks.
Additionally, creating standards for the use of AI in libraries and institutions is one of the key steps in its implementation. For example, the Canadian Digital Governance Council is already developing a national standard (CAN/DGSI 128), which could serve as a model for international practices. These standards will help regulate issues such as licensing, data management, and privacy protection.
However, standards are just the beginning. It is crucial that researchers, librarians, and other stakeholders actively participate in policy development. This is the only way to ensure that new technologies serve society rather than undermine its foundations.
