Data-Driven SWOT Analysis of Artificial Intelligence Adoption for Achieving Gender Equality (SDG5): An Interval-Valued Spherical Fuzzy Methodology

Samirath Bakary; Mouhamed Bayane Bouraima; Qiu Yanjun

doi:10.31181/msa202758

Authors

Samirath Bakary Organization of African Academic Doctors (OAAD), Off Kamiti Road, P.O Box 25305-00100, Nairobi, Kenya Author https://orcid.org/0009-0008-2599-4773
Mouhamed Bayane Bouraima International School of Technical Education, Sichuan University of Architectural Technology, Deyang, 618000, Sichuan, China Author https://orcid.org/0000-0002-5801-884X
Qiu Yanjun School of Civil Engineering, Tarim Institute of Technology, No. 4040 SanWuJiu Street, Alaer, Xinjiang, 843399, China Author https://orcid.org/0000-0002-2250-5363

DOI:

https://doi.org/10.31181/msa202758

Keywords:

Artificial Intelligence, SWOT Analysis, Gender Equality, Sustainable Development Goal, SDG-5, IVSF-SWARA

Abstract

This study adopted an interval-valued spherical fuzzy-based strategic approach to assess the strengths, weaknesses, opportunities, and threats (SWOT) related to the role of artificial intelligence (AI) in gender equality under Sustainable Development Goal 5 (SDG 5). First, 13 SWOT factors were identified based on a literature review. Then, data were collected from four domain experts, and interval-valued spherical fuzzy stepwise weight assessment ratio analysis (IVSF-SWARA) was applied to determine the weights of the SWOT factors. The findings reveal that AI reduces gender bias in recruitment (S2) and AI detects harassment and supports legal protection (O2) serve as key enablers of gender equality. In contrast, biased AI reinforces gender inequalities (W3) and patriarchal norms hinder women's empowerment (T1) constitute major barriers to achieving this goal. The study makes a meaningful contribution to the decision sciences and management literature by offering practical insights for policymakers seeking to achieve gender equality and concludes by outlining clear avenues for future research.

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