IDEAS home Printed from https://ideas.repec.org/a/zib/zbnaim/v8y2024i1p19-21.html
   My bibliography  Save this article

Relationship Between Native Intelligence (Ni) And Artificial Intelligence (Ai): An Overview

Author

Listed:
  • Bawallah Musa Adesola

    (Department of Applied Geophysics, Federal University of Technology Akure)

  • Odole, Kehinde

    (St. Peters Unity Secondary School, Akure, Ondo State Nig)

  • Ilugbo, Stephen Olubusola

    (Department of Physics, Lead City University Ibadan)

  • Dare, Ojo Omonijo

    (Department of Sociology, Hallmark University, Ijebu-Itele, Ogun State)

  • Owele Boye Agatha

    (Guidance and Counseling Unit, Student Affairs Division, Federal University of Technology Akure)

  • Hadiza Mali Bukar

    (Department of Public Admin, Yobe State University, Damaturu)

Abstract

Western Ideologists tend to attribute Native Intelligence (NI) to Africans / third-word concepts, indistinctly fixed to value and belief that aided social cultural, religious, political economic, spiritual evolution, and ancient societies, However, the Emergence of Artificial intelligence (AI) being the capacity of a computer system or machine to mimic human cognitive such as learning and solving problems, through a computer system that uses mathematics and logic, to simulate the reasoning ability of man, through the process of learning from new information, and transforming such information into actions, by making decisions that has increasingly enhanced the quality of human life. Therefore, researchers, are also of the school of thought that there cannot be a future without the past; and hence the purpose of this research is to take an overview of the relationship that may have existed between Native intelligence (NI) and Artificial Intelligence (AI), to harness the gains of the former development, growth, and performance of the later for the benefit of mankind. Opinion samples were carried out in five selected higher institutions in the southwestern part of Nigeria, namely; the Federal University of Technology, Akure; Adeyemi College/University of Education Ondo; Obafemi Awolowo University, Ile-Ife; Ekiti State University, Ado-Ekiti; University of Education, Ikere-Ekiti.. The questions determined during the survey was categorized into three (3); namely (a) YES, (b) NO, and (c) UNDECIDED. The statistical analysis of results indicated: 60.2,24.8,15%,63.4, 25.2%, 11.4% for Ondo; 64.1%, 23.7%, 12.2, for Osun; 74.0%, 18.4%, 7.6%, and61.8%, 22.8%, 15.4%, for Ekiti State with an overall cumulative average of 64.7%, 23.0%, and 12.3%. The findings show that Native Intelligence played a significant role in the development of Artificial Intelligence.

Suggested Citation

  • Bawallah Musa Adesola & Odole, Kehinde & Ilugbo, Stephen Olubusola & Dare, Ojo Omonijo & Owele Boye Agatha & Hadiza Mali Bukar, 2024. "Relationship Between Native Intelligence (Ni) And Artificial Intelligence (Ai): An Overview," Acta Informatica Malaysia (AIM), Zibeline International Publishing, vol. 8(1), pages 19-21, March.
    • Handle: RePEc:zib:zbnaim:v:8:y:2024:i:1:p:19-21
    DOI: 10.26480/aim.01.2024.19.21
    as

    Download full text from publisher

    File URL: https://actainformaticamalaysia.com/archives/AIM/1aim2024/1aim2024-19-21.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.26480/aim.01.2024.19.21?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Martin Obschonka & David B. Audretsch, 2020. "Artificial intelligence and big data in entrepreneurship: a new era has begun," Small Business Economics, Springer, vol. 55(3), pages 529-539, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Adesuwa Omorede & Juan Francisco Prados-Castillo & Amalia Cristina Casas-Jurado, 2025. "Researching entrepreneurship using big data: implementation, benefits, and challenges," International Entrepreneurship and Management Journal, Springer, vol. 21(1), pages 1-22, December.
    2. Jiyoung Kimjeon & Per Davidsson, 2022. "External Enablers of Entrepreneurship: A Review and Agenda for Accumulation of Strategically Actionable Knowledge," Entrepreneurship Theory and Practice, , vol. 46(3), pages 643-687, May.
    3. Belém Barbosa & José Ramón Saura & Dag Bennett, 2024. "How do entrepreneurs perform digital marketing across the customer journey? A review and discussion of the main uses," The Journal of Technology Transfer, Springer, vol. 49(1), pages 69-103, February.
    4. Angela Altmeier & Christian Fisch, 2025. "To syndicate or not: a replication and extension about the influence of business angels’ personality traits on syndication using Twitter data," Management Review Quarterly, Springer, vol. 75(2), pages 1357-1391, June.
    5. Wang, Shaofeng & Zhang, Hao, 2024. "Green entrepreneurship success in the age of generative artificial intelligence: The interplay of technology adoption, knowledge management, and government support," Technology in Society, Elsevier, vol. 79(C).
    6. Mykola Odrekhivskyi & Orysya Pshyk-Kovalska & Volodymyr Zhezhukha & Iryna Ivanochko, 2022. "Intelligent Management of Enterprise Business Processes," Mathematics, MDPI, vol. 11(1), pages 1-15, December.
    7. D'Al, Francesco & Santarelli, Enrico & Vivarelli, Marco, 2024. "The KSTE+I approach and the advent of AI technologies: evidence from the European regions," GLO Discussion Paper Series 1473, Global Labor Organization (GLO).
    8. Hamid Etemad, 2024. "Challenges of smaller entrepreneurial enterprises aiming to generate higher values by adopting artificial intelligence (AI) and competing in the rapidly evolving AI industry," Journal of International Entrepreneurship, Springer, vol. 22(3), pages 269-287, September.
    9. Ljunge, Martin & Stenkula, Mikael, 2021. "Fertile soil for intrapreneurship: impartial institutions and human capital," Journal of Institutional Economics, Cambridge University Press, vol. 17(3), pages 489-508, June.
    10. Batista-Canino, Rosa M. & Santana-Hernández, Lidia & Medina-Brito, Pino, 2024. "A holistic literature review on entrepreneurial Intention: A scientometric approach," Journal of Business Research, Elsevier, vol. 174(C).
    11. Zhong, Changbiao & Zhang, Chao, 2024. "Can data elements enhance urban innovation? Evidence from China," China Economic Review, Elsevier, vol. 88(C).
    12. Ricardo Costa-Climent & Samuel Ribeiro Navarrete & Darek M. Haftor & Marcin W. Staniewski, 2024. "Correction to: Value creation and appropriation from the use of machine learning: a study of start‑ups using fuzzy‑set qualitative comparative analysis," International Entrepreneurship and Management Journal, Springer, vol. 20(3), pages 2451-2452, September.
    13. Shore, Adam & Tiwari, Manisha & Tandon, Priyanka & Foropon, Cyril, 2024. "Building entrepreneurial resilience during crisis using generative AI: An empirical study on SMEs," Technovation, Elsevier, vol. 135(C).
    14. Ari Hyytinen & Petri Rouvinen & Mika Pajarinen & Joosua Virtanen, 2023. "Ex Ante Predictability of Rapid Growth: A Design Science Approach," Entrepreneurship Theory and Practice, , vol. 47(6), pages 2465-2493, November.
    15. Francesco D'Alessandro & Enrico Santarelli & Marco Vivarelli, 2024. "The KSTE+I approach and the AI technologies," DISCE - Working Papers del Dipartimento di Politica Economica dipe0039, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    16. D’Alessandro, Francesco & Santarelli, Enrico & Vivarelli, Marco, 2024. "The Knowledge Spillover Theory of Entrepreneurship and Innovation (KSTE+I) Approach and the Advent of AI Technologies: Evidence from the European Regions," IZA Discussion Papers 17206, Institute of Labor Economics (IZA).
    17. Schade, Philipp & Schuhmacher, Monika C., 2023. "Predicting entrepreneurial activity using machine learning," Journal of Business Venturing Insights, Elsevier, vol. 19(C).
    18. Yngve Dahle & Kevin Reuther & Martin Steinert & Magne Supphellen, 2023. "Towards a systemic entrepreneurship activity model," International Entrepreneurship and Management Journal, Springer, vol. 19(4), pages 1583-1610, December.
    19. Kuratko, Donald F. & Covin, Jeffrey G., 2025. "Fifty years of entrepreneurship: Recalling the past, examining the present, & foreshadowing the future," Journal of Business Research, Elsevier, vol. 186(C).
    20. Hannigan, Timothy R. & Briggs, Anthony R. & Valadao, Rodrigo & Seidel, Marc-David L. & Jennings, P. Devereaux, 2022. "A new tool for policymakers: Mapping cultural possibilities in an emerging AI entrepreneurial ecosystem," Research Policy, Elsevier, vol. 51(9).

    More about this item

    Keywords

    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zib:zbnaim:v:8:y:2024:i:1:p:19-21. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Zibeline International Publishing The email address of this maintainer does not seem to be valid anymore. Please ask Zibeline International Publishing to update the entry or send us the correct address (email available below). General contact details of provider: https://actainformaticamalaysia.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.