State-Owned Companies and Artificial Intelligence: Strategies for Addressing the Socio-Economic
State-Owned Companies and Artificial Intelligence: Strategies for Addressing
the Socio-Economic Challenges in South Africa
Layman Abstract: In South Africa, state-owned companies (SOCs) have the potential to use artificial intelligence (AI) to tackle important issues like economic challenges and improve public services. This study looks at how AI can be used in SOCs to address problems such as service delivery, resource management, and infrastructure maintenance. The research reviews relevant laws and policies like the Companies Act and the Public Finance Management Act, and also gathers opinions from SOC managers through interviews. The study concludes that by focusing on things like training, collaboration between the public and private sectors, and ensuring ethical AI use, South Africa can better use AI to create growth, solve socio-economic problems, and improve the lives of its citizens.
Original Abstract: In South Africa, leveraging artificial intelligence within state-owned companies (SOCs) presents a unique opportunity to address the various socio-economic challenges facing the country, while fostering innovation and efficiency in the public sector. This paper examines how artificial intelligence can be optimized within South African state-owned companies to address socio-economic challenges, foster innovation, and improve service delivery, resource management, and infrastructure maintenance. The study employs a doctrinal analysis methodology to assess relevant legislation, such as the Companies Act 2008 and the Public Finance Management Act 1999, as well as the King IV Report on Corporate Governance. Additionally, the paper uses a qualitative approach to gauge the perspectives of SOC managers on AI adoption by conducting interviews with relevant stakeholders. The findings suggest that a comprehensive strategy focused on capacity building, strategic prioritization, public-private collaboration, ethical considerations, data-driven decision-making, public engagement, regulatory oversight, and long-term sustainability can enable South Africa to harness the transformative potential of AI to tackle socio-economic issues and promote inclusive growth and development. The paper aims to assist decision-makers, managers, and policymakers in understanding the legal and policy frameworks necessary to leverage the potential of AI in SOCs.
View Book:- https://doi.org/10.9734/bpi/mono/978-93-49238-37-4/CH10
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