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Looking at AI Fairness from a Marketing Lenz: The Influence of Ethnicity on Facial Expression Recognition based on expert judgement and AI models

Saleh Torkestani, Mohammad; Mansouri, Taha; Varghese, Riya; Alameer, Ali

Looking at AI Fairness from a Marketing Lenz: The Influence of Ethnicity on Facial Expression Recognition based on expert judgement and AI models Thumbnail


Authors

Mohammad Saleh Torkestani

Riya Varghese

Dr Ali Alameer A.Alameer1@salford.ac.uk
Lecturer in Artificial Intelligence



Abstract

This research investigates the influence of ethnicity on facial expression perception using insights from marketing experts and Computer Vision techniques. Marketing professionals were highly adept at recognizing expressions across varying ethnicities. Computer vision technology was found to have limitations when it came to identifying facial expressions, leaving room for biases related to ethnic backgrounds. Drawing from multiple literature sources this work contributes significantly towards
AI fairness issues in facial recognition.

Presentation Conference Type Conference Paper (published)
Conference Name Academy of Marketing Conference 2024
Start Date Jul 1, 2024
End Date Jul 4, 2024
Acceptance Date Apr 1, 2024
Online Publication Date Jul 15, 2024
Publication Date Jul 15, 2024
Deposit Date Aug 15, 2024
Publicly Available Date Oct 1, 2024
Peer Reviewed Peer Reviewed
Pages 56-57
Book Title Academy of Marketing Conference 2024 Paper Proceedings
ISBN 978-1-3999-9060-8

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