Leveraging Decision-Making Artificial Intelligence Techniques for the Implementation of Policies on Nigerian Indigenous Languages

The lingering issues of language policy implementation in Nigeria can be addressed significantly using decision-making artificial intelligence (AI) techniques. This study argues that AI decision-making techniques can be leveraged for effective implementation of policies on Nigerian indigenous languages. The study seeks to draw evidence from extant studies to show that AI techniques can be used to achieve successful implementation of language policies in Nigeria. Thus, data are sourced from secondary materials online. The data are subjected to a critical systematic review after applying exclusion and inclusion criteria. The results show that the different techniques of Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), Internet of Things, and Reinforcement Learning have the potentials to cause effective, functional and sustainable decisions on the implementation of Nigerian indigenous languages. The study concludes that with AI techniques, stakeholders can make positive and impactful decisions on the implementation of national language policies and prompt their growth, development and sustainability. It calls on stakeholders to key into the trends of using AI for problem-solving. The challenges to adopting AI should also be addressed significantly by stakeholders. Mass sensitization is another way-out.