eprintid: 18950
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/89/50
datestamp: 2024-06-04 14:11:24
lastmod: 2024-06-04 14:11:24
status_changed: 2024-06-04 14:04:29
type: conference_item
metadata_visibility: show
creators_name: Mamman, H.
creators_name: Basri, S.
creators_name: Balogun, A.O.
creators_name: Imam, A.A.
creators_name: Kumar, G.
creators_name: Capretz, L.F.
title: Search-Based Fairness Testing: An Overview
ispublished: pub
keywords: 'current; Artificial intelligence systems; Ethical concerns; Fairness; Fairness testing; Search-based; Search-based fairness testing; Search-based testing; Societal concerns; Testing method
note: cited By 0; Conference of 2023 IEEE International Conference on Computing, ICOCO 2023 ; Conference Date: 9 October 2023 Through 12 October 2023; Conference Code:196872
abstract: Artificial Intelligence (AI) has demonstrated remarkable capabilities in domains such as recruitment, finance, healthcare, and the judiciary. However, biases in AI systems raise ethical and societal concerns, emphasising the need for effective fairness testing methods. This paper reviews current research on fairness testing, particularly its application through search-based testing. Our analysis highlights progress and identifies areas of improvement in addressing AI systems' biases. Future research should focus on leveraging established search-based testing methodologies for fairness testing. © 2023 IEEE.
date: 2023
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184850232&doi=10.1109%2fICOCO59262.2023.10397906&partnerID=40&md5=e62d07415803b54dc633df6f60f9ad7a
id_number: 10.1109/ICOCO59262.2023.10397906
full_text_status: none
publication: 2023 IEEE International Conference on Computing, ICOCO 2023
pagerange: 89-94
refereed: TRUE
isbn: 9798350302684
citation:   Mamman, H. and Basri, S. and Balogun, A.O. and Imam, A.A. and Kumar, G. and Capretz, L.F.  (2023) Search-Based Fairness Testing: An Overview.  In: UNSPECIFIED.