The following was submitted by Audio Visual Metadata and Training Data intern, Isabella Juhaeri. The traditional understanding of Machine Learning and Artificial Intelligence is that we (the humans) bestow our authentic and true knowledge on the ignorant and brainless machine. We explain what truth is to the machine with the hopes that it will learn … Continue reading Abstraction, Aura, and Archives: Postmodern Considerations of Digital Preservation in the Age of AI
Tag: ai
Be Not Afr(AI)d: A GBH Intern’s Perspective on the Future of AI in Archives
The following was submitted by Audio Visual Metadata and Training Data intern, Gabrielle Keen. The year is 2008. I walk into a movie theater in my Michigan hometown, not knowing that the animated sci-fi movie I am about to watch about a trash-compacting robot will cement my view on artificial intelligence for the next decade … Continue reading Be Not Afr(AI)d: A GBH Intern’s Perspective on the Future of AI in Archives
Beyond the Screen: Machine Learning and Metadata Creation at GBH Archives
The following was submitted by Fall 2024 Metadata and Training Data Intern, Madison Courtney. My time interning at GBH challenged my preconceived notions surrounding machine learning, cataloguing and the way we think about humans and machines working together in the future. The first week of my internship a game plan emerged for the next 12 … Continue reading Beyond the Screen: Machine Learning and Metadata Creation at GBH Archives
New Job Opportunities at the American Archive of Public Broadcasting!
Three new positions at GBH, working on the American Archive of Public Broadcasting, are now open for applicants, thanks to our recent Mellon Foundation grant! Brief job descriptions are below, with full information on responsibilities, skills, and application requirements available at the links provided. Please share these positions with qualified applicants!
blog.americanarchive.org 