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Articles 94 Documents
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Co-Designing Ethical AI with Faith Communities: Advancing Worship Innovation, Moral Governance, and Resilient Digital Ecosystems Olayinka, Oyunwola Taiwo; Temitope, Oyebanji Israel; Thomas, Adebimpe Seun; Oluwole, Ademola Peter
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 2 No 3 (2025): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v2i3.7872

Abstract

This research explores the collaborative development of ethical artificial intelligence (AI) tools with religious communities to enhance worship practices, inform moral decision-making, and support social cohesion. As AI technologies increasingly intersect with spiritual life—through applications such as automated liturgy generators and pastoral chatbots—there is an urgent need to ensure these systems uphold religious values and contribute positively to community well-being. While existing AI ethics frameworks are largely rooted in secular paradigms, few integrate religious epistemologies or position faith groups as active partners in design processes. Addressing this gap, the study investigates how religious communities and AI specialists can co-create systems that align with sacred values and promote communal resilience. Employing a participatory action methodology, the research engaged multi-faith dialogue groups, collaborative design sessions involving theologians and programmers, and case studies from Christian, Muslim, and Traditionalist communities in Nigeria. Findings indicate that effective integration of AI in religious contexts is contingent upon context-sensitive moral reflection, transparent data governance, and trust in institutions. The study argues that ethical AI for religious use must emerge from genuine collaboration rather than external imposition. It recommends the establishment of interfaith technology centers, the direct involvement of theologians in AI development teams, and the formulation of governance models informed by religious ethics and local priorities. These measures not only safeguard religious practices but also contribute to equitable and sustainable digital ecosystems aligned with global development objectives.
Sustainable Management of Bacterial Fruit Blotch in Watermelon Using Biocontrol Agents at Tella, Taraba State O., Phoebe A.; A., Tuwari B.; R., Umaru; Y., Madinatu
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 2 No 3 (2025): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v2i3.7873

Abstract

Bacterial fruit blotch (BFB), caused by Acidovorax citrulli, represents a significant challenge to watermelon cultivation in Nigeria, frequently resulting in substantial yield losses under conducive climatic conditions. This study aimed to evaluate the effectiveness of selected plant-based biocontrol agents in managing BFB and improving the growth and yield performance of three watermelon varieties: Sweet Sangaria, Kaolack, and a local landrace. A two-year field trial (2020–2021) was conducted in Tella, Taraba State, using a randomized complete block design with three replications. Treatments consisted of neem oil, garlic oil, jatropha oil, and their binary combinations, alongside streptomycin as a standard control and an untreated control plot. Results revealed that the plant-based treatments significantly reduced BFB incidence compared to the control, with some combinations performing comparably to streptomycin. Additionally, improvements were observed in plant growth parameters and fruit yield across all treated plots. The findings underscore the potential of botanical biocontrol agents as sustainable alternatives to synthetic antibiotics for managing BFB in watermelon cultivation, contributing to environmentally friendly disease management strategies suitable for smallholder farming systems.
Factors Influencing Proper Healthcare Waste Management Practices Among Healthcare Workers in Nigeria Umaru, Isaac John; Asare, Solomon Ossom; Morgan, Akpan Usenobong; Umogbai, Debora Akinola; Chukwudi, Emmanuel Eluu; Essien, Inemesit Samuel; Olayemi, Abimbola Gbenga; John, Omachi Blessing
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 2 No 3 (2025): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v2i3.8022

Abstract

Healthcare waste management (HCWM) is a critical component of public health and environmental safety, particularly in developing countries like Nigeria where improper disposal practices pose significant risks, and compliance among healthcare workers remains inconsistent despite the existence of national guidelines and global protocols. This study aimed to assess the factors influencing proper HCWM practices among healthcare workers in Nigeria, focusing on knowledge, attitudes, institutional support, and policy awareness. A cross-sectional survey was conducted among 300 healthcare workers across tertiary and secondary health facilities in Abuja, Lagos, and Kano. Data were collected using structured questionnaires covering demographic information, HCWM knowledge, attitudes, practices, and institutional factors, and were analyzed in SPSS v25 using chi-square tests and logistic regression to identify significant predictors of compliance. Among the respondents, 60% had received formal HCWM training, 70% were aware of HCWM guidelines, and 75% expressed positive attitudes toward waste management; however, only 55% practiced correct waste segregation and 50% reported adequate institutional support. Chi-square analysis revealed significant associations between HCWM training and proper waste segregation (χ² = 12.45, p < 0.01), and between institutional support and PPE usage (χ² = 9.78, p < 0.05). Logistic regression identified HCWM training (OR = 2.3, 95% CI: 1.5–3.6) and positive attitude (OR = 1.8, 95% CI: 1.2–2.9) as significant predictors of proper HCWM practices. The study concludes that training, institutional support, and attitudes are key determinants of HCWM compliance among healthcare workers in Nigeria, and that bridging the gap between knowledge and practice requires targeted interventions, infrastructure investment, and policy enforcement. Strengthening HCWM systems is essential for reducing occupational hazards, preventing environmental contamination, and promoting sustainable healthcare delivery.
Comparative Analysis of Microbial Load of the Main Water Production and Water Availability in Federal University Wukari Umaru, Isaac John; Asare, Solomon Ossom; Omanchi, Emmanuel; Olayemi, Abimbola Gbenga; Morgan, Akpan Usenobong
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 2 No 3 (2025): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v2i3.8027

Abstract

Access to clean and safe water is a critical component of public health and institutional sustainability, particularly in academic environments where large populations depend on reliable water sources for daily activities. Federal University Wukari, located in Taraba State, Nigeria, primarily relies on boreholes and hand-dug wells to meet its water needs; however, these sources are susceptible to microbial contamination due to poor construction, proximity to waste disposal sites, and seasonal fluctuations in groundwater levels. This study conducted a comparative analysis of the microbial load in water samples collected from boreholes and wells across various campus locations. Standard microbiological techniques were employed to quantify total heterotrophic bacteria, coliforms, and the presence of Escherichia coli, and a structured survey was administered to assess water availability and usage patterns among students and staff. Results revealed that well water samples consistently exhibited higher microbial loads, with E. coli detected in all well sources, whereas borehole samples showed significantly lower contamination levels, and statistical analysis confirmed a significant difference in microbial counts between the two water sources (p < 0.05). The survey further indicated disparities in water availability, with student hostels and off-campus staff areas experiencing the most frequent shortages. These findings underscore the urgent need for routine water quality monitoring, infrastructural improvements, and policy interventions to ensure safe and equitable water access within the university. The study contributes to the broader discourse on water safety in Nigerian tertiary institutions and provides actionable insights for campus health and infrastructure planning.

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