Gender, workforce and artificial intelligence.

Idemudia, Isi; Onoshakpor, Chioma

Abstract

Our aim is to explore the role Artificial Intelligence has on widening the gender inequality gap that currently exists in the field of Information Technology. This study builds on the 'Advancement of Women in Technology (AWT) framework and 'The implicit bias theory to explore women's ability and willingness to enter and remain in an AI related career. By conducting semi-structured interviews of 4 users of AI as a pilot study, data gathered enables us to draw a parallel to fully understand the existing gender gap in AI and the general invisibility which women as contributors to the industry experience and make recommendations for industry practise.

Citation

IDEMUDIA, I. and ONOSHAKPOR, C. 2023. Gender, workforce and artificial intelligence. In Proceedings of the 16th IEEE (Institute of Electrical and Electronics Engineers) Africa conference 2023 (IEEE AFRICON 2023): advancing technology in Africa towards presence on the global stage, 20-22 September 2023, Nairobi, Kenya. Piscataway: IEEE [online], article number 10293367. Available from: https://doi.org/10.1109/AFRICON55910.2023.10293367

• Conference Name: 16th IEEE (Institute of Electrical and Electronics Engineers) Africa conference 2023( IEEE AFRICON 2023): advancing technology in Africa towards presence on the global stage
• Conference Location: Nairobi, Kenya
• Start Date: Sep 20, 2023
• End Date: Sep 22, 2023
• Acceptance Date: Mar 31, 2023
• Online Publication Date: Sep 23, 2023
• Publication Date: Oct 31, 2023
• Deposit Date: Oct 5, 2023
• Publicly Available Date: Oct 26, 2023
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Series ISSN: 2153-0025; 2153-0033
• Book Title: Proceedings of the 16th IEEE (Institute of Electrical and Electronics Engineers) Africa conference 2023 (IEEE AFRICON 2023): advancing technology in Africa towards presence on the global stage, 20-22 September 2023, Nairobi, Kenya
• DOI: https://doi.org/10.1109/AFRICON55910.2023.10293367
• Keywords: Artificial intelligence (AI); Gender gap; AI principles; AI ethics; Impact of AI bias; Benefits and dangers of AI technologies
• Public URL: https://rgu-repository.worktribe.com/output/2098633