Erin Wandler
Librarians, AI and Data Deluge
Summary: Librarianship in the 2020s and beyond is gearing up for some serious changes, thanks to societal shifts and the growing specialization within professions. Foundational knowledge is key here, advocating for well-rounded skills that let librarians seamlessly switch between different library types and keep up with changing client needs and tech advancements. Different types of specializations are popping up like reference wizards and e-resource gurus, to meet specific demands and tech trends. Librarians need to stay sharp with ongoing learning and adapting, especially since managing e-resources is becoming a must-have skill for all librarians. Sure, it might throw some folks off at first, but these contextual specializations are all about evolving to meet new needs, with a little help from library leaders. Soon, librarians might find themselves lending a hand in training AI or giving feedback on its info. With all of the new technology, ethics is a huge piece, librarians are the ones stepping up to tackle those tricky moral questions machines can’t handle. So, while the landscape of librarianship might be changing faster than ever, one thing’s for sure: it’s all about staying agile and collaborating to keep libraries relevant in our info-packed world.
Evaluation: The idea of librarians working alongside artificial intelligence (AI) presents both exciting opportunities and potential challenges. On one hand, AI technologies have the potential to revolutionize information management, data analysis, and user services within libraries. Librarians can leverage AI tools to enhance cataloging, automate routine tasks, and provide personalized recommendations to patrons. This collaboration could lead to more efficient workflows, improved access to information, and enhanced user experiences.
However, there are also concerns surrounding the integration of AI in libraries. One primary concern is the potential impact on the role of human librarians. While AI can handle certain tasks more efficiently, it lacks the nuanced understanding, empathy, and contextual knowledge that human librarians bring to their roles. There’s a risk of oversimplifying the complexities of information management and user interactions if AI systems are relied upon too heavily.
Moreover, there are ethical considerations regarding data privacy, algorithmic biases, and the implications of AI-driven decision-making. Librarians must ensure that AI technologies are implemented ethically and transparently, with safeguards in place to protect patron privacy and prevent discrimination.
Frederick, D.E. (2020). Librarians in the era of artificial intelligence and the data deluge. Library Hi Tech News, 37(7), 1-7. https://doi.org/10.1108/LHTN-03-2020-0029