Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 14th June 2025, 06:14:24pm WEST
Session Chair: Christof Schöch, University of Trier
Location:B309 (TB)
60 places
Presentations
The Accessibility Paradox: Challenges of Visibility, Autonomy, and Power in Digital Archiving
Hamidreza Nassiri
Independent Scholar, United States of America
This presentation explores the paradox of increased access to digital tools for documentation and archiving. While access empowers community-driven efforts, it also exacerbates challenges such as market saturation, unpaid labor, institutional dependency, misinformation, and external manipulation. Case studies from Brazil and Iran reveal how accessibility can undermine autonomy and accuracy.
Humanizing AI Art: Projections for CARE and FAIR principles in New Media Scenarios
Tirtha Prasad Mukhopadhyay1, Reynaldo Thompson2
1Universidad de Guanajuato, Mexico; 2Universidad de Guanajuato, Mexico
This paper explores a crisis in global AI Art culture, which tends to be appropriated by corporate entities that do not respect the principles of FAIR and CARE. What this means is that AI, despite its technological potential, more likely exacerbates inequality and discrimination in collectives like indigenous cultural expressions.
Building a FAIR data future at the Journal of Open Humanities -- "Data Amplifying GLAM Collections: Scalable and Inclusive Data Practices"
Victoria Van Hyning1, Thea Lindquist2
1University of Maryland, College of Information, United States of America; 2University of Colorado Boulder, United States of America
The Journal of Open Humanities Data supports FAIR data sharing and reuse through peer-reviewed articles. In 2024, a special collection of papers titled Amplifying GLAM Collections: Scalable and Inclusive Data Practices was created to increase representation of cultural heritage datasets and practices. This paper will describe the results and implications.
