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Full-Text Articles in Library and Information Science
Can Ai Become An Information Literacy Ally? A Survey Of Library Instructor Perspectives On Chatgpt, Melissa S. Del Castillo, Hope Y. Kelly
Can Ai Become An Information Literacy Ally? A Survey Of Library Instructor Perspectives On Chatgpt, Melissa S. Del Castillo, Hope Y. Kelly
Works of the FIU Libraries
Libraries can play a role in navigating the AI era by integrating these tools into information literacy (IL) programs. To implement generative AI tools like ChatGPT effectively, it is important to understand the attitudes of library professionals involved in IL instruction toward this tool and their intention to use it for instruction. This study explored perceptions of ChatGPT using survey data that included acceptance factors and potential uses derived from the emerging literature. While some librarians saw potential, others found it too unreliable to be useful; yet the vast majority imagined utilizing the tool in the future.
Chatgpt Is A Liar And Other Lessons Learned From Information Literacy Instructors, Melissa S. Del Castillo, Hope Y. Kelly
Chatgpt Is A Liar And Other Lessons Learned From Information Literacy Instructors, Melissa S. Del Castillo, Hope Y. Kelly
Works of the FIU Libraries
Wondering where generative artificial intelligence (AI) fits in information literacy instruction? This session will share findings from a recent survey of library professionals on how they are already teaching about and using AI powered ChatGPT in information literacy instruction and where they see potential opportunities and areas of concern. Survey analysis will include information about attitudes, current and anticipated use, and descriptions of teaching methods that leverage the technology. As we navigate the survey results, attendees will have the opportunity to share their own perspectives on the same questions via live polling. We will then turn to attendees to share …
Building Capacity For Data-Driven Scholarship, Jamie Rogers
Building Capacity For Data-Driven Scholarship, Jamie Rogers
Works of the FIU Libraries
This talk provides an overview of "dLOC as Data: A Thematic Approach to Caribbean Newspapers," an initiative developed to increase access to digitized Caribbean newspaper text for bulk download, facilitating computational analysis. Capacity building for future research in Caribbean Studies being a crucial aspect of this initiative, a thematic toolkit was developed to facilitate use of the project data as well as provide replicable processes. The toolkit includes sample text analysis projects, as well as tutorials and detailed project documentation. While the toolkit focuses on the history of hurricanes and tropical cyclones of the region, the methodologies and tools used …
Ai For Archives: Using Facial Recognition To Enhance Metadata, Rebecca Bakker, Kelley Rowan, Liting Hu, Boyuan Guan, Pinchao Liu, Zhongzhou Li, Ruizhe He, Christine Monge
Ai For Archives: Using Facial Recognition To Enhance Metadata, Rebecca Bakker, Kelley Rowan, Liting Hu, Boyuan Guan, Pinchao Liu, Zhongzhou Li, Ruizhe He, Christine Monge
Works of the FIU Libraries
The goal of this research project was to determine the most effective facial recognition applications that could be implemented into digital archive image collections from libraries, museums, and cultural heritage institutions. Computer scientists and librarians at Florida International University collaborated to conduct qualitative assessments of both face detection and face search using photographs from FIU’s digital collections. Specifically, the facial recognition platforms OpenCV, Face++, and Amazon AWS were analyzed. This project seeks to assist LYRASIS community members who wish to incorporate facial recognition and other artificial intelligence technology into their digital collections and repositories as a method to reduce research …
Adopting Machine Learning At The Fiu Libraries, Jamie Rogers
Adopting Machine Learning At The Fiu Libraries, Jamie Rogers
Works of the FIU Libraries
Over the past five years, the FIU Libraries have developed and implemented various machine learning and AI technologies with the goal of improving discovery and access to materials as well as provide new methods for analysis of content. A sampling of these projects include the development of resource recommendation functionality using machine learning, which is embedded into our digital library system; the use of Microsoft's Cognitive Services AI for transcription of audio files as well as translation of text in over 60 languages; the evaluation of serval AI systems and training data sets for facial recognition in archive photographs; and …
Implementing Facial Recognition Technology In A Municipal Archives Digitization Project, Rebecca Bakker
Implementing Facial Recognition Technology In A Municipal Archives Digitization Project, Rebecca Bakker
Works of the FIU Libraries
This poster at the 2019 annual meeting of the South Florida Archivists highlights a project where the facial recognition technology of Adobe Lightroom CC is used to identify individuals in photographs held by a local municipal archive. The photographs contain hundreds of images showing unnamed commissioners and city workers from the 1970s to the 1990s, with most of the images lacking metadata or information. Various strategies are employed to identify key city officials in the photographs, allowing their names to be added to the metadata of the records hosted in a digital repository. The poster demonstrates the potential and limitations …