Files
Download Full Text (8.9 MB)
Year of Publication
2023
Degree Name
Master of Fine Arts in Curatorial Studies (MFA)
Document Type
Master's Thesis, Exhibition Catalogue
College
Fine Arts
Department/School/Program
Art and Visual Studies
First Advisor
Dr. Anna Brzyski
Second Advisor
Dr. Miriam Kienle
Description
In Interface, five Kentucky-area artists explore a new language of representation with the aid of digital tools like Artificial Intelligence (AI) and Automatic Facial Recognition Software (AFR). Some artists use algorithms to alter celebrity faces beyond recognition, others feed data sets of existing art to AI models in an attempt to generate portraits of no one in particular. Others still create tools for understanding the very act of facial recognition or obfuscation. All have one thing in common: they wish to stretch the limits of and critique the genre of portraiture, as well as to cause viewers to question their assumptions about the genre’s scope and function.
Digital Object Identifier (DOI)
https://doi.org/10.13023/excats.2023.2
Recommended Citation
Sydney, Mullins, "Interface: Technology & Portraiture" (2023). Graduate Thesis Exhibition Catalogue Gallery, 2023. 2.
https://uknowledge.uky.edu/art_exhibitioncat_2023/2
- Usage
- Downloads: 64
- Abstract Views: 62
Included in
Art and Design Commons, Fine Arts Commons, Visual Studies Commons