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Browsing University Library by Subject "Artificial Intelligence"

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    Artificial Intelligence and Christianity: Navigating Ethical Challenges and Opportunities in the Techno-Scientific Era in Nigeria
    (International Journal of Contemporary Research in Humanities, 2024) Samson Obaloluwa OJO
    With the rapid advancement of artificial intelligence (AI) in this techno-scientific era, there are growing concerns among scholars and religious practitioners regarding its effects on religion and society. This paper explores the complex interplay between AI and Christianity, investigating whether AI fosters harmony or discord within religious practices and beliefs. The study addresses ethical concerns and challenges posed by AI, specifically its potential to either enhance or challenge traditional religious doctrines. Using a qualitative methodology, the paper examines historical perspectives on religion and technology, alongside case studies of the intersection of AI with religious practices. The findings reveal a nuanced relationship between AI and religion, with both positive and negative impacts. While AI offers opportunities to enhance religious experiences, it raises ethical dilemmas and challenges established theological frameworks. The paper concludes by recommending that religious institutions should embrace technological advancements cautiously, balancing innovation with the preservation of core values. Furthermore, interdisciplinary research and educational initiatives should be encouraged to foster a more ethical approach to the development and deployment of AI. Keywords: Artificial Intelligence, Religion, Society, Techno-Scientific Era, Ethics
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    ChatGPT and Other Generative Artificial Intelligence (AI) Tools in Teaching and Learning as Integrative Pathways to Contemporary University Education
    (2023-03-02) Bakare-Fatugase, Oluwabunmi Dorcas; Oladokun Taofeek
    The emergence of artificial intelligence such as ChatGPT and other generative AI tools is redefining the educational landscape. This chapter discusses how ChatGPT and other generative AI tools are used for teaching and learning globally, with a focus on the difference between developing and developed countries. Varied responses between educators and institutions in Africa compared to the developed world and highlights of the skill gaps to be filled to ensure effective and ethical use of generative AI tools by both learners and educators in the developing world were discussed. The chapter concludes by highlighting the implication of poor handling of the current epoch on the future of education and the overall development of the African continent. The study was significant to practice, society, and policy based on a developing country’s perspectives.
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    L2 Pronunciation Intelligibility in Google Voice-to-text Applications
    (The International Journal of Contemporary Research in Humanities (INJOCORH), 2023) Michael Olayinka GBADEGESIN, PhD; Deborah Adejumoke ADEJOB
    There is an increase in the application of new technologies in all spheres of human endeavour. Industrial 4.0 is one of the recently birthed industrial revolutions through which machines understand human speech, thinks and comprehends human intentions. It structures critical components for intelligent vehicles, intelligent offices, intelligent service robots, intelligent industries, and so on. This furthers the structure of the intelligent ecology of the Internet of Things. At the centre of all these is human speech which is used to give order to and ask questions from Artificial Intelligence (AI) and robots. Previous studies on AI and linguistics have discussed the use of AI in language classroom using AI modelling pronunciation to enhance pronunciation performance of the second language learners. This study examines Automatic Speech Recognition (ASR) using Word Error Rate (WER) to measure the level of intelligibility of the pronunciation of man to machine. It investigates if there will be communication breakdown if the pronunciation is not intelligible. To achieve this, 30 L2 speakers of English were selected from Igbo, Hausa and Yoruba to read 135 crafted words into 5sentences using Google ASR application as primary data. The secondary data was drawn from journal articles, textbooks and the Internet. The result showed that the pronunciation model used to develop the application has made provision for several L2 speakers of English in reality of the new world Englishes. Keywords: Artificial Intelligence, Human Voice-to-text, Communication Breakdown, Intelligible Pronunciation, L2