The Mythical or Realistic Implementation of AI-powered Driverless Cars in Africa: A Review of Challenges and Risks

Nwokoye, ChukwuNonso Henry; Okeke, Vincent O. S.; Roseline, Paul; Okoronkwo, Ethelbert

doi:10.1007/978-981-16-4016-2_65

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…AI research can help to enhance the Nigerian automobile industry through innovative development such as self-driving vehicles, and automatic vehicle speed maintenance through cruise control. These would greatly benefit the nation by preventing accidents [15]- [17]. Finally, current AI trends include, but are not limited to, quantum AI, reinforcement learning, natural language processing, conversational AI, and robotic process automation.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence research in Nigeria: Topic modelling and scientometric analysis

Tolulope,

Isaac,

Timileyin

et al. 2024

IJ-AI

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<p><span lang="EN-US">In developing countries such as Nigeria, artificial intelligence (AI) research has the potential to drive rapid advancement in various aspects of development, including the economy and technology. However, it is crucial to understand the focus of Nigerian AI researchers and identify unexplored areas of research that could lead to unprecedented development. To address this need, we used natural language processing, machine learning, and statistical algorithms to investigate the main areas of interest of Nigerian AI researchers. We identified ten topics and used scientometric analyses to reveal key concepts, keyword co-occurrences, and authorship networks. Our study found that Covenant University was the most prolific institution, with 375 publications, followed by the Federal University of Technology with 135 publications and the University of Ibadan with 121 publications. Overall, our research provides valuable insights into the structure and progression of AI research in Nigeria and highlights areas for improvement.</span></p>

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Section: Introductionmentioning

confidence: 99%

Artificial intelligence research in Nigeria: Topic modelling and scientometric analysis

Tolulope,

Isaac,

Timileyin

et al. 2024

IJ-AI

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Artificial intelligence potential for net zero sustainability: Current evidence and prospects

Olawade,

Wada,

David-Olawade

et al. 2024

Next Sustainability

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Integrating industry 4.0 technologies for the administration of courts and justice dispensation—a systematic review

Bhatt,

Bahuguna,

Swami

et al. 2024

Humanit Soc Sci Commun

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The judiciary is a foundation of democracy, upholding the rule of law and protecting rights. Efficient court administration is vital for public trust, justice, and timely proceedings. Currently, courts face challenges such as inconsistencies, adjournments, and absence of transparency, undermining the justice system. Traditional manual processes and paper-based documentation cause significant backlogs, slow resolutions, and limited public access. As case volumes and complexities rise, modernizing court administration through digital transformation is progressively critical. Currently, many countries are integrating technologies in the courts for its administration and other activities. In recent years, courts and judges have been subjected to pressure to improve performance, uplifting judicial effectiveness to a top priority. Subsequently, several countries have integrated simplification and digitization strategies in judicial initiatives to enhance court efficiency. Switzerland’s Justitia 4.0 and Brazil’s PJE are notable initiatives that focused to strengthen court administration through digitalization. These aspects motivated this study to examine the detailed integration of industry 4.0 technologies such as the Internet of things, cloud computing, blockchain, big data analytics, robotics, drones, Metaverse, digital twins, and artificial intelligence for court administration with digitalized infrastructure. According to the study, integrating these technologies in less complex cases helps minimize expenditures and save time, making to resolve cases conveniently, efficiently, and superiorly. The study also identified the challenges and issues associated with industry 4.0 technologies such as evidence gathering, evidence preservation, robot judges for pre-judgment analysis, and judgment delivery, which future studies need to be explored.

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The Mythical or Realistic Implementation of AI-powered Driverless Cars in Africa: A Review of Challenges and Risks

Cited by 3 publications

References 12 publications

Artificial intelligence research in Nigeria: Topic modelling and scientometric analysis

Artificial intelligence research in Nigeria: Topic modelling and scientometric analysis

Artificial intelligence potential for net zero sustainability: Current evidence and prospects

Integrating industry 4.0 technologies for the administration of courts and justice dispensation—a systematic review

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