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Responsible and Ethical Artificial Intelligence Governance in Africa

Type de record:

paper
Créateur:
GadAmo
Éditeur:
Pub
Hôte:
Artificial intelligence (AI) has become a pivotal force in global technological advancement, offering unprecedented opportunities across various sectors. However, the rapid integration of AI into societal frameworks has raised significant concerns regarding ethical standards and responsible governance. This study aimed to explore responsible and ethical AI governance in Africa. The study was guided by the following objectives: to explore the implementation of national and regional regulatory frameworks that address ethical AI use in governance, to determine the ethical guidelines for AI practitioners and organisations in Africa, and to establish mechanisms for ongoing monitoring and evaluation of AI technologies to ensure accountability and continuous improvement of governance practices. The study was anchored by decolonial AI theory and stakeholder theory. The study employed phenomenological research. The target population for the study consisted of stakeholders involved in AI governance across various sectors in Africa. This included government officials, AI developers, academic researchers, civil society organisations, and representatives from marginalised communities. The study utilised purposive sampling techniques to select participants who had relevant knowledge and experience related to AI governance. Therefore, a sample size of 30 selected stakeholders was taken. The primary research instruments used in the study were semi-structured interviews. Data collected were analysed descriptively. The study revealed that nearly 65% of the participants acknowledged the existence of national regulatory frameworks and regional guidelines aimed at addressing ethical AI use in governance throughout Africa. However, only 30% reported that these frameworks were actively implemented and enforced. Participants noted significant discrepancies in regulatory effectiveness between different countries, highlighting a lack of uniformity across the continent. Further, the findings indicated that only 25% of the stakeholders believed that effective mechanisms for ongoing monitoring and evaluation of AI technologies were in place to ensure accountability and continuous improvement in governance practices. The study concluded that some African countries have initiated efforts to develop national and regional policies addressing ethical AI use. These initiatives remain fragmented and often lack the necessary cohesion to effectively govern the diverse socio-economic and cultural contexts across the continent. The study recommended that African countries should prioritise the creation of comprehensive regulatory frameworks that address the ethical implications of AI technologies. These frameworks should be informed by international best practices while being tailored to the unique socio-economic and cultural contexts of each country. The governments should ensure that ethical considerations are integrated into the technology lifecycle, promoting accountability and transparency.

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