Title
Door: Ethnicity in artificial intelligence
Date Issued
March 2019
Access level
open access
Resource Type
conference paper
Author(s)
Laurenzo T.
University of California
Publisher(s)
Association for Computing Machinery, Inc
Abstract
DOOR is an artwork that aims at exposing some of the social and political impact of artificial intelligence, computer vision, and automation. The project uses a commercially available computer vision system that predicts the interactor's ethnicity, and locks or unlocks itself depending on this prediction. The artwork showcases a possible use of computer vision making explicit the fact that every technological implantation crystallises a political worldview.
Start page
535
End page
540
Language
English
OCDE Knowledge area
Ciencias de la computación
Sociología
Otras ingenierías y tecnologías
Subjects
Scopus EID
2-s2.0-85063897321
ISBN
9781450361965
Resource of which it is part
TEI 2019 - Proceedings of the 13th International Conference on Tangible, Embedded, and Embodied Interaction
ISBN of the container
978-145036196-5
Sponsor(s)
The authors thank Stochastic Labs for supporting the development of the project [11]. The work described in this paper partially supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China [Project No. 9042456 (CityU 11674416). We also thank Alejandro Rodriguez [15] for his support.
Sources of information:
Directorio de Producción Científica
Scopus