Tailoring Safety Practices for AI Innovation: A Model for Nigeria’s Socioeconomic Context
DOI:
https://doi.org/10.70882/josrar.2025.v2i2.47Keywords:
Artificial Intelligence, AI safety practices, Technical, Regulatory, SocioculturalAbstract
Artificial Intelligence (AI) is rapidly transforming industries and societies worldwide. However, its adoption in Nigeria poses unique challenges and opportunities due to the country’s socioeconomic context. This paper explores the development of safety practices tailored to Nigeria’s distinctive characteristics. A quantitative method was used. A questionnaire was first used to understand the awareness, implementation and challenges of using Artificial Intelligence (AI) safely in a work environment. A Comparative Framework Analysis examining successful AI safety models from other regions was then conducted to extract adaptable strategies. The results suggest that while there is significant awareness and adoption of AI safety practices, there are still notable challenges, particularly in the areas of resources, training, and implementation. The high prevalence of AI-related safety incidents and the lack of confidence in organizations' abilities to handle these risks point to gaps in the existing safety frameworks. A framework with multidisciplinary approach to AI safety in Nigeria was then proposed. It offers a promising solution by integrating technical, regulatory, and sociocultural perspectives. It is recommended that efforts should focus on improving awareness, enhancing training programs, and ensuring that AI safety guidelines are both accessible and adaptable to local contexts.
References
AISI (2024) Guide to Evaluation Perspectives on AI Safety (Version 1.01). Japan AI Safety Institute [online]. Retrieved 22nd January, 2025 from: https://aisi.go.jp/assets/pdf/ai_safety_eval_v1.01_en.pdf
Akinpelu, D., and Akintola, S. (2023). Navigating the Legal and Ethical Terrain of Artificial Intelligence in Enhancing Patient Safety in Nigeria. Journal of Intellectual Property and Information Technology Law (JIPIT). 3(1) 169-200. https://doi.org/10.52907/jipit.v3i1.261
Akinpelu, D., and Akintola, S. (2023). Navigating the Legal and Ethical Terrain of Artificial Intelligence in Enhancing Patient Safety in Nigeria. Journal of Intellectual Property and Information Technology Law (JIPIT). 3 (1) 169-200
Akpudo, U.E., Effoduh, J.O., Kong, J.D., & Gao, Y. (2024). Unveiling AI Concerns for Sub-Saharan Africa and its Vulnerable Groups. International Conference on Intelligent and Innovative Computing Applications. Available at: https://mauricon.org/conferences/index.php/iconic/article/view/76
Amaugo, O. (2024). Impact of AI Adoption on Business Process Automation and Competitiveness in Manufacturing Industry in Nigeria. International Journal of Research and Innovation in Social Science. 5321-5330, https://dx.doi.org/10.47772/IJRISS.2024.803398S
Akinpelu, D.A. & Akintola, S.O. (2023) Navigating the Legal and Ethical Terrain of Artificial Intelligence in Enhancing Patient Safety in Nigeria. Journal of Intellectual Property and Information Technology Law (JIPIT). 3(1).169-200, https://doi.org/10.52907/jipit.v3i1.261
Börekci, C., & Çelik Ö. (2024). Exploring the role of digital literacy in university students' engagement with ai through the technology acceptance model. Sakarya University Journal of Education, 14(Special Issue), 228-249. https://doi.org/10.19126/suje.1468866
Caburao, E. A. (2024) What is AI in Safety Management?[online]. Retrieved 21st January, 2025 from: https://safetyculture.com/topics/safety-management-system/ai-in-safety-management/
Chen Chen, Xueluan Gong, Ziyao Liu, Weifeng Jiang, Si Qi Goh, and Kwok-Yan Lam. 2018. AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions. ACM, New York, NY, USA, 1-96. [online]. Retrieved 21st January, 2025 from: https://arxiv.org/pdf/2408.12935
Dada, E.A., Eyeregba, M.E., Mokogwu, C., & Olorunyomi, T.D. (2024). Integrating community engagement with AI-enhanced strategies for economic resilience and inclusive growth in Nigeria. International Journal of Advanced Economics. 6 (12) https://doi.org/10.51594/ijae.v6i12.1773
Dalrymple D.D., Russell, S., Omohundro, S., Ammann, N., Barrett, C., Wing, J. et al., (2024) Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems [online]. Retrieved 22nd January, 2025 from: https://arxiv.org/html/2405.06624v2
Gbaden, C.J., Gambo, S., and Shem, W. (2024). Challenges and Prospects of Artificial Intelligence in Nigerian Journalism Practice: A Narrative Review. ALSYSTECH Journal of Education Technology. 2(2) 110-124.
Greene, T (2025) AI benchmarking scandal: Were top models caught gaming the system? Intentional? Or incidental to the nature of large-scale data scraping? [online] https://www.thestack.technology/ai-benchmarking-scandal-were-top-models-caught-gaming-the-system/
Gwagwa, A., Kraemer-Mbula, E., Rizk, N., Rutenberg, I., & De Beer, J. (2020). Artificial intelligence (AI) deployments in Africa: Benefits, challenges and policy dimensions. The African Journal of Information and Communication (AJIC), 26, 1-28. https://doi.org/10.23962/10539/30361
Hassan, A.S. (2024). Examining the drivers of artificial intelligence adoption in Nigeria’s supply chain management landscape. International Journal of Business Ecosystem & Strategy (2687-2293). 6(2) 122-137.
Ismail, K. (2024) Ensuring Safety in the Age of Artificial Intelligence: A Comprehensive Review of AI Safety Applications [online]. Retrieved 21st January, 2025 from: https://hsseworld.com/ensuring-safety-in-the-age-of-artificial-intelligence-a-comprehensive-review-of-ai-safety-applications/
Manheim, D. (2023) Building a Culture of Safety for AI: Perspectives and Challenges. Available at SSRN: https://ssrn.com/abstract=4491421 or http://dx.doi.org/10.2139/ssrn.4491421
McGrath, A. (2024) What is AI safety? [online]. Retrieved 22nd January, 2025 from: https://www.ibm.com/think/topics/ai-safety
Mohammed, K., and Shehu, A. (2023). A REVIEW OF ARTIFICIAL INTELLIGENCE (AI) CHALLENGES AND FUTURE PROSPECTS OF EXPLAINABLE AI IN MAJOR FIELDS: A CASE STUDY OF NIGERIA. Open Journal of Physical Science (ISSN: 2734-2123). 4 (1) 01- 18
Nwosu, C.C., Obalum, D.C., and Ananti, M.O. (2024). Artificial intelligence in public service and governance in Nigeria. Journal of Governance and Accountability Studies. 4(2) 109-120
OpenAI (2024) OpenAI safety update. AI Seoul Summit [online]. Retrieved 22nd January, 2025 from: https://openai.com/index/openai-safety-update/
SAIF (2025) Google's Secure AI Framework [online]. Retrieved 22nd January, 2025 from: https://safety.google/cybersecurity-advancements/saif/
Salami, E., & Nwankwo, I. (2024). Regulating the privacy aspects of artificial intelligence systems in Nigeria: A primer. African Journal on Privacy and Data Protection. 220-247 https://doi.org/10.29053/ajpdp.v1i1.0011
Ukandu, C.P., Emoghene, O.B., & Boye, E.T. (2023). Occupational Hazards Identification, Risk Evaluation and Mitigation in Contemporary Nigeria Society: The Application of Artificial Intelligence (AI). International Journal of Research and Innovation in Social Science. Available at: https://dx.doi.org/10.47772/IJRISS.2023.7011104
Ukandu, C.P., Emoghene, O.B., and Boye, E.T. (2023). Occupational Hazards Identification, Risk Evaluation and Mitigation in Contemporary Nigeria Society: The Application of Artificial Intelligence (AI). International Journal of Research and Innovation in Social Science. Available at: https://dx.doi.org/10.47772/IJRISS.2023.7011104
Wodi, A. (2024). Artificial Intelligence (AI) Governance: An Overview. SSRN Electronic Journal. Available at SSRN: https://ssrn.com/abstract=4840769;http://dx.doi.org/10.2139/ssrn.4840769
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