ARTIFICIAL INTELLIGENCE AND SOCIO-ECONOMIC DEVELOPMENT OF WOMEN IN LAFIA LOCAL GOVERNMENT

TOPIC IS SUITABLE FOR:
1-Department of Computer Science

2-Department of Economics

3-Department of Sociology

4-Department of Gender Studies

TOPIC: ARTIFICIAL INTELLIGENCE AND SOCIO-ECONOMIC DEVELOPMENT OF WOMEN IN LAFIA LOCAL GOVERNMENT

TABLE OF CONTENT

Abstract

CHAPTER ONE: INTRODUCTION

1.1 Background of the study

1.2 Statement of the problem

1.3 Objective of the study

1.4 Research Questions

1.5 Research Hypothesis

1.6 Significance of the study

1.7 Scope of the study

1.8 Definition of terms

CHAPTER TWO: REVIEW OF LITERATURE

2.1 Conceptual Framework

2.2 Theoretical Framework

2.3 Empirical Studies

2.4 Appraisal of Literature

CHAPTER THREE: RESEARCH METHODOLOGY

3.1 Research Design

3.2 Population of the Study

3.3 Sample Size Determination

3.4 Sampling Techniques

3.5 Instrument for Data Collection

3.6 Validity of the Instrument

3.7 Reliability of the Instrument

3.8 Methods of Data Collection

3.8 Methods of Data Collection

3.9 Method of Data Analysis

3.10 Ethical Considerations

CHAPTER FOUR: DATA PRESENTATION AND ANALYSIS

4.1 Data Presentation

4.2 Demographic Analysis

4.3 Analysis of Research Questions

4.4 Hypotheses Test

4.5 Discussion of Findings

CHAPTER FIVE: SUMMARY, CONCLUSION &RECOMENDATION

5.1 Summary

5.2 Conclusion

5.3 Recommendation

5.4 Limitation of the study

5.5  Suggestion for Further Studies

References

Appendix

ABSTRACT
This study assessed Artificial Intelligence (AI) and socio-economic development of women in Lafia Local Government Area, with the aim of evaluating their awareness, access, economic engagement, and social outcomes associated with AI usage. Four specific objectives guided the investigation: to examine the level of AI awareness, identify accessible AI tools, determine economic influences, and assess social development impacts among women. A descriptive survey research design was adopted. The study population comprised 201,500 women in Lafia, from which a sample of 399 was selected using Taro Yamane’s formula at a 95% confidence level. Stratified random sampling ensured representation across urban, semi-urban, and rural districts. Data were collected using a structured questionnaire and analyzed with SPSS, using descriptive statistics (frequency, mean, standard deviation) and inferential statistics (ANOVA).Findings showed a moderate to high level of awareness of AI (mean = 3.93), though frequent usage remained low (mean = 2.94). Accessible AI tools included social media recommendation engines (mean = 3.40) and voice assistants (mean = 3.38), while advanced tools like agricultural AI scored lower (mean = 2.65). On economic development, respondents reported positive influence on business opportunities (mean = 3.44) and financial decisions (mean = 3.31), though operational cost reduction and skill acquisition remained weak areas. Socially, women confirmed improved educational access (mean = 3.38), health awareness (mean = 3.20), and digital connectivity (mean = 3.41), but low civic engagement and inclusion. Hypotheses testing using ANOVA revealed significant relationships between AI usage and both economic empowerment (F = 5.014, p = 0.002) and social development (F = 3.789, p = 0.011). The study concludes that AI presents a viable path for women’s development in Lafia, though gaps in infrastructure, digital literacy, and tool specialization limit broader impact. It recommends capacity-building programs, AI tool customization for local relevance, and policy interventions for inclusive digital integration.

CHAPTER ONE

INTRODUCTION (Preview)

1.1 Background of the Study

Throughout the world, social and economic development in general terms summarizes the comprehensive manner through which societies improve the economic status and well-being of people, which is measured in terms of education, income, employment opportunities, access to health, and political participation. Todaro and Smith (2024) highlighted that development is not merely economic growth but more so an increase in the true freedom that people experience, for instance, freedom from poverty, illiteracy, and isolation. Yamtah et al. (2025) added that socio-economic development encompasses both material and human aspects. in Sub-Saharan Africa, the phenomenon of socio-economic development is propelled by a unique combination of historical, institutional, and cultural factors. This is because the  region has been experiencing endemic poverty, long-term unemployment, and gender inequalities, all of which hinder inclusive development.

Gender wise, women are not passive beneficiaries of development but active agents whose empowerment brings enormous economic and social returns. Women make up more than 41% of Nigeria's labor force and are the majority in the informal sector, where they operate 60% of SMEs (National Bureau of Statistics, 2022). They provide approximately 70% of farm labor in rural areas and are key to food security and household welfare (FAO, 2021).  Kabeer (2021) notes that when women acquire productive assets and decision-making capabilities, households become more secure and societies more just. The African Development Bank (AfDB, 2022) confirms that women's participation in economic activities is low, irrespective of the key role they have in keeping agricultural productivity and informal trade alive. The Human Development Index (HDI), the Gender Inequality Index (GII), and the Global Gender Gap Index (GGGI) all note women falling behind in access to education, credit, computer literacy, and employment in most of the nations around Africa. According to  Chinelo & Uchenna (2023), women's role is pivotal from micro-enterprise development to community health activism, from the grassroots to national development. However, deep-seated challenges like patriarchal norms, illiteracy, digital exclusion, and institutional lack of support hinder them from reaching their full potential.

Most notably is that the Fourth Industrial Revolution comes with revolutionary technologies that are reshaping productivity, service delivery, and human interaction. The most influential technology in the revolution is Artificial Intelligence (AI). AI can be defined as the replication of human intelligence in machines that can think and learn (Russell & Norvig, 2021). It entails abilities such as natural language processing, machine learning, robotics, and automation of decisions. Schalkwyk and Young (2022) define AI as a technological system that is able to analyze data, recognize patterns, and execute tasks using little human interference, hence optimizing efficiency and creating new knowledge. AI is gradually shaping health, education, finance, agriculture, and governance. Artificial Intelligence tools and platforms encompass a broad array of technologies designed to perform specific tasks, process data, and facilitate intelligent decision-making. According to Corchado et al. (2023), AI tools are typically categorized into three broad functional groups: perception-based tools (e.g., image and speech recognition), decision-support systems (e.g., diagnostics and forecasting tools), and autonomous systems (e.g., robotics and self-learning platforms). Each group serves different sectors but shares a foundational reliance on data and computational logic. Importantly, the architecture of these tools allows them to be customized for diverse needs, from industrial automation to personalized education.

 In Nigeria, artificial intelligence has prospects for enhancing access to healthcare, market information, education, and entrepreneurship for women are growing in interest. For instance, AI-powered mobile interventions are improving mother health in rural communities, and AI-powered platforms such as SheLeadsAfrica are providing business guidance and mentorship to women entrepreneurs (Oyelude & Bamigbola, 2022). Owing to the fact that Nigerian women are vital engines of socio-economic progress, making huge contributions in agriculture, trade, education, and healthcare. Teena, & Sahoo, D. (2024) added that Artificial Intelligence (AI) presents an opportunity to bridge the gap of women low contribution to social and economic development as AI-powered platforms can provide women with precision agriculture analytics, mobile health diagnostics, business insights, and e-learning opportunities that bypass traditional barriers. Given that empowering women using AI can accelerate inclusive growth by multiplying their productivity, autonomy, and access to global networks, this research is keen on examining how AI can be used as an enabler of socio-economic empowerment for women in the Lafia Local Government of Nasarawa State, Nigeria.

1.2 Statement of the Problem

As nations strive to achieve the Sustainable Development Goals (SDGs), the empowerment of women and the pursuit of gender equality stand as foundational pillars in the architecture of inclusive and sustainable development. Within this global agenda, gender equality is not merely a moral imperative but a pragmatic strategy for unlocking human potential, enhancing community resilience, and driving economic growth. While progress has been recorded in several parts of the world, and some African countries, Nigeria still reflects significant disparities in outcomes for women, especially in rural and semi-urban areas (UN Women, 2021). In places like Lafia, Nasarawa State, women continue to grapple with longstanding structural inequalities that hinder their full participation in socio-economic development.

Igharo et al (2025) observed that the growing rhetoric and policy frameworks promoting women’s inclusion, many Nigerian women remain on the margins of technological advancement and economic participation, which in turn reinforces cycles of poverty and social exclusion. The persistent gap between national policy aspirations and lived realities calls for a closer examination of how transformative tools like Artificial Intelligence (AI) can be leveraged to bridge this divide and accelerate women's inclusion in meaningful development processes. Research by Ibrahim, and  Olivier (2024) indicates that women in these communities often lack access to critical tools, skills, and information necessary for enhancing their livelihoods, which in turn sustains cycles of poverty, low economic output, and limited civic influence. The restricted access to emerging technologies, particularly Artificial Intelligence (AI), further compounds this exclusion, significantly curtailing women’s capacity to participate meaningfully in national development efforts. Akinola and Olayemi (2024) identified poor digital literacy, inadequate ICT infrastructure, and cultural biases as major barriers to AI utilization among Nigerian women. Furthermore, low awareness and lack of policy guidance on inclusive AI deployment exacerbate the exclusion.

While existing studies on AI has  shown to improve productivity in agriculture, healthcare, and education sectors, as documented by Alabi et al. (2023), its potential in advancing women’s socio-economic empowerment remains under-explored and underutilized. This gap in both policy and empirical attention presents a critical concern because If AI continues to evolve without deliberate efforts to include women, existing inequalities may wide and the marginalization of women in digital transformation undermines the inclusive growth agenda envisioned in Nigeria’s national development plans. Against this backdrop, this study investigates how Artificial Intelligence can contribute meaningfully to the socio-economic development of women in Lafia Local Government.

1.3 Objectives of the Study

The main objective of this study is to assess the contribution of Artificial Intelligence to the socio-economic development of women in Lafia Local Government Area.

The specific objectives are to:

1.Examine the level of awareness of AI technologies among women in in Lafia Local Government Area.

2.Examine the types of AI technologies accessible  to  women in in Lafia Local Government Area.

3.Investigate the influence of AI-driven tools and platforms on the economic development of women in terms of income generation, employment the study area.

4.Analyze the impacts of AI usage on the social development of  women in terms of education, healthcare, and social inclusion in Lafia Local Government Area.

OTHER PARTS OF CHAPTER ONE INCLUDE:
1.4 Research Questions

1.5 Research Hypotheses

1.5 Significance of the Study

1.7 Scope of the Study

1.8 Operational Definition of Terms

CHAPTER TWO

LITERATURE REVIEW (Preview)
This chapter critically examines relevant literature that would assist in explaining the research problem and, furthermore, recognizes the efforts of scholars who had previously contributed immensely to similar research. The chapter intends to deepen the understanding of the study and close the perceived gaps. This chapter, therefore, focuses on the concept of socioeconomic development,  indicators of socio-economic development, women’s role in socio-economic development in Nigeria, concept of artificial intelligence. The chapter covers the following subheadings:

2.1 Conceptual Framework

2.2 Theoretical Framework

2.3 Empirical Studies

2.4 Appraisal of Literature

CHAPTER THREE

RESEARCH METHODOLOGY (Preview)
Research Design: The study adopted a descriptive survey research design.

Population of the Study: The population of the study comprises women aged 18 and above residing in Lafia Local Government Area, Nasarawa State.

Sample Size Determination: The study adopted the Taro Yamane formula to determine a sample size of 399 participants.

Sampling Technique: The study employed a multi-stage sampling technique involving stratified sampling, random sampling, and convenience sampling to select the individual respondents.

Research Instrument: The study utilized a structured questionnaire as the instrument for data collection.

Methods of Data Analysis: The collected data were analyzed using frequencies, percentages, and means to summarize and present the demographic characteristics of the respondents and their responses. Inferential statistics, such as Analysis of Variance (ANOVA), were used to test the hypotheses.

CHAPTER FOUR; DATA PRESENTATION, ANALYSIS AND INTERPRETATION

MAJOR FINDINGS (Preview)

The analysis results were presented in tables. Based on the results obtained from the analysis, the following findings are made:

i. The study found that women in Lafia Local Government Area have a moderate to high level of awareness of Artificial Intelligence technologies, as evidenced by accepted mean scores ranging from 3.21 to 3.93 for awareness of AI, understanding its functions, identifying AI tools, and recognizing AI applications in different sectors. However, frequent use of AI-powered platforms recorded a mean score of 2.94, below the acceptance benchmark of 3.00, indicating limited practical utilization of AI technologies.

ii. The study found that women in Lafia Local Government Area have access to different types of Artificial Intelligence technologies, particularly social media recommendation engines, mobile voice assistants, e-commerce applications, and health and wellness applications, as evidenced by accepted mean scores ranging from 3.02 to 3.40. However, agricultural AI tools recorded a mean score of 2.65, indicating limited access to AI technologies for agricultural activities.

iii. The study found that Artificial Intelligence technologies positively influence the economic development of women in Lafia Local Government Area, as evidenced by accepted mean scores of 3.17 to 3.44 for identifying income-generating opportunities, improving financial decision-making, and increasing sales and customer reach. However, cost reduction and economic skill acquisition recorded mean scores of 2.98 and 2.93, respectively, below the acceptance benchmark of 3.00. The corresponding hypothesis test further showed an F-value of 5.014 and a p-value of 0.002 (p < 0.05), leading to the rejection of the null hypothesis and confirming a significant relationship between the use of AI technologies and women's economic empowerment.

iv. The study found that Artificial Intelligence technologies positively influence the social development of women in Lafia Local Government Area, particularly in access to educational content, health awareness, and social connectivity, as evidenced by accepted mean scores ranging from 3.20 to 3.41. However, participation in online community or political discussions and perceived social inclusion recorded mean scores of 2.91 and 2.89, respectively, indicating limited influence in these areas. The corresponding hypothesis test further showed an F-value of 3.789 and a p-value of 0.011 (p < 0.05), leading to the rejection of the null hypothesis and confirming a significant relationship between the use of AI technologies and women's social development.

CHAPTER FIVE:  SUMMARY, CONCLUSION AND RECOMMENDATIONS

This chapter covers the following outline:
5.1 Summary

5.2 Conclusion

5.3 Recommendation

5.4 Limitation of the study

5.5  Suggestion for Further Studies

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