Mohammad Saleh Torkestani
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
Authors
Dr Taha Mansouri T.Mansouri@salford.ac.uk
Lecturer in AI
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 |
Files
Published Version
(5.4 Mb)
PDF
You might also like
A Newly Adopted YOLOv9 Model for Detecting Mould Regions Inside of Buildings
(2024)
Journal Article
Identifying the threshold concepts in teaching marketing: A pedagogic research
(2024)
Presentation / Conference
The Intersection of Generative AI and Healthcare: Addressing Challenges to Enhance Patient Care
(2024)
Presentation / Conference Contribution
A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring
(2024)
Journal Article