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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

Interface: Technology & Portraiture

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