Archives, Access and Artificial Intelligence: Working with Born-Digital and Digitized Archival Collections

Archives, Access and Artificial Intelligence: Working with Born-Digital and Digitized Archival Collections

Archives

Archives, Access and Artificial Intelligence: Working with Born-Digital and Digitized Archival Collections examines the types of collections that have been digital since the time of their inception. These include web archives, photoarchives, dark archives, and digital libraries. Digital archives have grown significantly in recent years, resulting in a growth of digital data, digital archivists, and new and open source software for the creation and maintenance of these digital archives. Archives, Access and Artificial Intelligence: Working with Born-Digital and Digitized Archival Collections reviews how digital records are found, collected, appraised, and analyzed and the challanges archivists face throughout this process. It also explores how various disciplines interract throughout the archive creation, curation, and maintenance processes and examines possible ways to improve the communication and collaboration therein. Additionally, the book examines new artificial intelligence technologies, such as neural networks, machine learning, and handwriting optical recognition, and how they interact with digital archives.

Jaillant, Lise

https://www.jstor.org/stable/jj.11425482

transcript Verlag, Bielefeld University Press

2022

Bianca Dagostino

Book

EISBN: 978-3-8394-5584-5

Jaillant, Lise, ed. Archives, Access and Artificial Intelligence: Working with Born-Digital and Digitized Archival Collections. 1st ed. transcript Verlag, 2022. http://www.jstor.org/stable/jj.11425482.