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ERIC Number: EJ1429311
Record Type: Journal
Publication Date: 2024
Pages: 7
Abstractor: ERIC
ISBN: N/A
ISSN: ISSN-0004-3125
EISSN: EISSN-2325-5161
Addressing Algorithm Materiality and Bias through Art: Exploring Social Media-Augmented Reality Features
Nicholas Leonard; Johnson Kwame Wor
Art Education, v77 n4 p20-26 2024
This article intends to empower and equip art educators to artistically address the functioning of facial detection algorithms through critical race theory (CRT). By highlighting how biometric data, a specific form of data that measures the physical qualities of individuals, is used in common social media facial detection algorithms like Snapchat, art students are encouraged to use principles of value and facial proportions to interact with and explore these algorithms in a material way. Examples of algorithms systematically perpetuating racism are shared to highlight the real-world significance of data and algorithms. Artistic responses to biometrics and artificial intelligence (AI) are provided to inspire student artistic research, along with teacher examples. Finally, the conclusion urges art educators to address the functioning of algorithms and their potential issues through the arts.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A