Exploring The Factors Influencing Artificial Intelligence (AI) Governance in South Africa

dc.contributor.authorSekwena, Thapelo
dc.date.accessioned2026-01-26T10:51:41Z
dc.date.issued2025
dc.descriptionA research report submitted in fulfillment of the requirements for the Master of Management in the field of Digital Business, in the Faculty of Commerce Law and Management, Wits Business School, University of the Witwatersrand, Johannesburg, 2025
dc.description.abstractArtificial Intelligence (AI) is swiftly revolutionizing industries across the globe, influencing economic growth, public services, and decision-making processes. The ethical, legal, and socio-economic issues linked to AI demand robust governance frameworks to promote responsible development and implementation. While many countries have established AI governance frameworks, South Africa lacks a structured regulatory approach, raising concerns with regards to bias, data privacy, transparency, and equal opportunities or access to AI benefits. This study investigates the factors influencing AI governance in South Africa and proposes a strategic framework to guide national policymakers in addressing these challenges. Using a qualitative research approach, this study collected data through semi- structured interviews with 11 participants including policymakers, industry experts, and academics. The findings reveal key governance challenges, including regulatory fragmentation, digital infrastructure gaps, skill shortages, and limited stakeholder engagement. Additionally, the study identifies the need for a governance model that balances innovation with ethical principles, ensuring AI technologies contribute positively to South Africa’s socio-economic development. This research contributes to AI policy discourse by proposing a governance framework tailored to South Africa’s unique context. The framework emphasizes regulatory alignment with global best practices, inclusive stakeholder participation, and adaptive policy mechanisms to keep pace with technological advancements. By addressing critical gaps in AI governance, the study provides actionable recommendations to policymakers, enabling South Africa to harness AI’s potential while mitigating risks associated with its implementation.
dc.description.submitterMM2026
dc.facultyFaculty of Commerce, Law and Management
dc.identifier.citationSekwena, Thapelo. (2025). Exploring The Factors Influencing Artificial Intelligence (AI) Governance in South Africa [Master`s dissertation, University of the Witwatersrand, Johannesburg]. WIReDSpace. https://hdl.handle.net/10539/47915
dc.identifier.urihttps://hdl.handle.net/10539/47915
dc.language.isoen
dc.publisherUniversity of the Witwatersrand, Johannesburg
dc.rights© 2025 University of the Witwatersrand, Johannesburg. All rights reserved. The copyright in this work vests in the University of the Witwatersrand, Johannesburg. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of University of the Witwatersrand, Johannesburg.
dc.rights.holderUniversity of the Witwatersrand, Johannesburg
dc.schoolWITS Business School
dc.subjectUCTD
dc.subjectArtificial Intelligence (AI)
dc.subjectAI Governance
dc.subjectPolicy Development
dc.subject.primarysdgSDG-9: Industry, innovation and infrastructure
dc.titleExploring The Factors Influencing Artificial Intelligence (AI) Governance in South Africa
dc.typeDissertation

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