Alternative Title
Artificial Intelligence (AI) Archivist: Utilizing AI Tools to Speed Up a Manual Process
Contributor
University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2024 : Orlando, Fla.)
Location
Gold Coast I-II
Start Date
22-7-2024 3:30 PM
End Date
22-7-2024 4:00 PM
Publisher
University of Central Florida Libraries
Keywords:
AI tools; Image descriptions; OER repositories; Accessibility; Archiving process
Subjects
Archives--Automation; Artificial intelligence--Library applications; Archival materials--Digitization; Archives--Technological innovations; Artificial intelligence--Information services
Description
Using AI tools, such as ChatGPT 4o and Photoai, we have been able to help generate descriptions for images captured during field work that usually takes years to finish archiving due to busy schedules. Reviewing the generated content for accuracy (over manual creation) helps speed up the process to finish uploading this content into OER repositories. By using AI to generate descriptions, keywords, and locations, this not only assists in documenting content but also in aligning with accessibility. In this presentation, we will discuss what we have found in our testing for both photo and video content, as well as additional applications of this use.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty, Librarians, Educators
Recommended Citation
Stahl, Nicole and Fazzalari, Rocco, "AI Archivist: Utilizing AI Tools to Speed Up a Manual Process" (2024). Teaching and Learning with AI Conference Presentations. 54.
https://stars.library.ucf.edu/teachwithai/2024/monday/54
AI Archivist: Utilizing AI Tools to Speed Up a Manual Process
Gold Coast I-II
Using AI tools, such as ChatGPT 4o and Photoai, we have been able to help generate descriptions for images captured during field work that usually takes years to finish archiving due to busy schedules. Reviewing the generated content for accuracy (over manual creation) helps speed up the process to finish uploading this content into OER repositories. By using AI to generate descriptions, keywords, and locations, this not only assists in documenting content but also in aligning with accessibility. In this presentation, we will discuss what we have found in our testing for both photo and video content, as well as additional applications of this use.