National Open University of Nigeria

In my opinion, the success of the first Global Dialogue on AI Governance would be defined by its ability to move beyond conversation into clear, actionable outcomes that reflect global diversity. First, a major success would be the agreement on shared baseline principles for AI governance that balance innovation with accountability. These principles should be adaptable, allowing countries at different stages of technological development to implement them effectively without being constrained by one-size-fits-all models. Second, meaningful inclusion of voices from the Global South, particularly Africa, would be critical. Representation alone is not enough. The dialogue must ensure that perspectives from emerging economies actively shape the outcomes, influencing global standards rather than simply reacting to them. Third, the establishment of practical collaboration mechanisms would mark real progress. This could include cross-border partnerships on AI safety research, data governance, and capacity building, supported by institutions such as the United Nations. These collaborations should focus on knowledge transfer, infrastructure development, and policy support. Another key outcome would be commitments to transparency and accountability in AI systems, especially from major technology companies and governments. This helps build public trust and reduces the risks associated with opaque or biased systems. Finally, success would mean creating a roadmap for implementation, not just recommendations. Clear timelines, measurable goals, and follow-up structures would ensure that the dialogue leads to sustained impact rather than remaining a one-time event.

• AI capacity-building
• Protection and promotion of human rights
• Transparency, accountability, and human oversight
• Open-source software, open data and open AI models

My selected priorities reflect a strong commitment to building an inclusive, ethical, and locally relevant AI ecosystem. AI capacity building is central because sustainable AI development in Africa depends on empowering people with the knowledge and skills to understand, use, and shape these technologies. Without this foundation, meaningful participation in AI governance remains limited. Transparency, accountability, and human oversight are essential to ensuring that AI systems are trustworthy and aligned with societal values. Clear governance mechanisms help prevent misuse, reduce bias, and build public confidence in AI-driven decisions. Protection and promotion of human rights is a critical priority, as AI systems increasingly influence access to opportunities, services, and information. Safeguarding rights such as privacy, fairness, and non-discrimination ensures that technological progress does not come at the expense of human dignity. Efforts by institutions like the Nigeria Data Protection Commission highlight the growing importance of rights-based approaches in governance. Open-source software, open data, and open AI models support innovation, collaboration, and digital sovereignty. They reduce dependency on external technologies and enable local developers, researchers, and policymakers to adapt AI systems to their specific contexts. Together, these priorities reflect a balanced approach that promotes innovation while ensuring responsibility, inclusion, and long-term societal benefit.

Yes. One key cross-cutting issue is digital sovereignty and data ownership. Many African countries still depend on external infrastructure and platforms, which limits control over data, policy direction, and long-term innovation. Another emerging issue is the unequal distribution of AI infrastructure, including compute power and research capacity, which creates global imbalances in who can build and benefit from AI. Finally, local context representation in AI systems remains under addressed, especially for African languages and cultural data, raising concerns about bias, exclusion, and relevance in deployed technologies.

Governance gaps across my selected thematic areas are already shaping both risks and opportunities in Nigeria and the wider African region. A major challenge is limited AI capacity-building, which slows local innovation and reduces the ability of institutions to effectively regulate or deploy AI systems. This creates reliance on external technologies, reinforcing dependency and weakening digital sovereignty. Gaps in transparency, accountability, and human oversight also pose risks. Many AI systems used in finance, security, and public services operate with limited explainability, increasing the chances of bias, unfair outcomes, and low public trust. In terms of human rights, weak enforcement mechanisms can expose citizens to data misuse and privacy violations, despite progress by regulators like the Nigeria Data Protection Commission. This is especially critical as digital services expand rapidly across sectors. However, these gaps also present strong opportunities. There is growing momentum to build locally relevant AI governance frameworks that reflect Nigeria's socio-economic realities. Investments in digital skills, research, and policy development can position the country as a leader in responsible AI on the continent. Additionally, the rise of open-source AI and collaborative ecosystems creates pathways for innovation, enabling developers and policymakers to co-create solutions tailored to local needs. Overall, while governance gaps present real risks, they also offer a strategic window for Nigeria and Africa to shape inclusive, ethical, and context-driven AI systems that support sustainable development.

The AI Dialogue can play a pivotal role in advancing international cooperation by serving as a bridge between diverse stakeholders, including governments, industry, academia, and civil society. Its greatest value lies in aligning global ambitions with local realities. First, it can foster consensus-building on shared principles for AI governance, helping countries move toward interoperable frameworks while respecting different levels of development. Convening under platforms such as the United Nations gives the Dialogue legitimacy and the ability to influence global norms. Second, it can enable practical collaboration, not just discussion. This includes facilitating partnerships in AI safety research, capacity-building, data governance, and infrastructure development, especially for emerging economies. Third, the Dialogue can amplify Global South participation, ensuring that regions like Africa are not only represented but actively shaping outcomes. This helps reduce policy imbalances and promotes more inclusive governance models. Additionally, it can promote knowledge sharing and policy coordination, allowing countries to learn from each other's successes and challenges, while avoiding fragmented or conflicting regulations. Finally, the AI Dialogue can establish follow-up mechanisms and accountability structures, ensuring that commitments translate into measurable progress. Overall, it can transform fragmented global efforts into coordinated action, strengthening trust, inclusivity, and effectiveness in AI governance worldwide.

The AI Dialogue should build on existing global and regional efforts to avoid duplication and accelerate impact. Key initiatives include the United Nations processes on digital cooperation and AI governance, which provide a multilateral foundation for inclusive dialogue. Frameworks such as the OECD AI Principles and the UNESCO Recommendation on the Ethics of AI offer widely recognized standards for responsible AI. Multi-stakeholder platforms like the Global Partnership on Artificial Intelligence and regional bodies such as the African Union are also advancing policy coordination and capacity-building across countries. The AI Dialogue can add value by connecting these fragmented efforts into a more coherent global ecosystem. It can act as a coordination hub that aligns principles with implementation, especially across regions with differing capacities. It can also strengthen Global South representation, ensuring that African priorities such as digital sovereignty, local innovation, and inclusive development are reflected in global standards. Additionally, the Dialogue can promote practical collaboration, linking policy frameworks to technical support, funding opportunities, and knowledge exchange. Finally, it can introduce accountability and follow-up mechanisms, ensuring that existing commitments evolve into measurable actions. By building on what already exists while closing coordination gaps, the AI Dialogue can drive more inclusive, effective, and action-oriented global AI governance.

Different stakeholders can contribute meaningfully to the AI Dialogue by leveraging their unique roles while working within a coordinated, inclusive structure. Governments should lead in setting policy priorities, sharing national experiences, and committing to interoperable governance frameworks. Private sector actors can provide technical expertise, ensure transparency in AI systems, and commit to responsible innovation practices. Academia and research institutions should contribute evidence-based insights, risk assessments, and policy recommendations. Civil society and grassroots organizations play a critical role in representing public interests, human rights concerns, and local realities, especially from underrepresented communities. For the format and structure, the Dialogue should be multi-layered and action-oriented: -Thematic working groups aligned with key priority areas to enable deep, focused discussions and outputs. -Regional consultations, particularly across Africa and other Global South regions, to ensure diverse and context-specific inputs. -Public-private roundtables to encourage collaboration and trust-building between sectors. -Youth and innovation forums to capture emerging perspectives and future-focused ideas. To ensure impact, the Dialogue should include clear deliverables, such as policy briefs, voluntary commitments, and implementation roadmaps. It should also establish continuous engagement mechanisms, not just a one-time event, supported by platforms like the United Nations. This structure would ensure inclusivity, practical outcomes, and sustained global cooperation on AI governance.

Several voices and perspectives remain underrepresented in global AI governance discussions, limiting inclusivity and relevance. Global South countries, especially in Africa, often have limited representation in high-level policy forums. This restricts their ability to influence global norms and ensures that AI systems reflect diverse socio-economic contexts. Local developers and researchers from these regions are also underrepresented, reducing opportunities for context-specific innovation. Marginalized communities, including rural populations, women, youth, and linguistic minorities, are often excluded from decision-making. AI systems developed without their input risk reinforcing existing inequalities, biases, and exclusion. Civil society organizations focused on human rights, ethics, and digital inclusion are frequently sidelined, despite their critical role in safeguarding societal interests. To address these gaps, the Dialogue should prioritize regional consultations and capacity-building initiatives that elevate local policymakers, researchers, and civil society. Dedicated seats for youth, women, and underrepresented groups in working groups can ensure diverse perspectives influence outcomes. Language accessibility, culturally relevant materials, and targeted outreach can bring in communities whose voices are often absent. Partnerships with local universities, NGOs, and innovation hubs can integrate ground-level insights into global policy frameworks. Leveraging open consultations and digital platforms allows wider participation, even from regions with limited travel resources. Inclusion of these perspectives ensures that AI governance frameworks are not only globally coordinated but also locally relevant, socially just, and responsive to the needs of all communities. This strengthens trust, equity, and long-term sustainability in AI adoption worldwide.

Innovative engagement formats can make the AI Dialogue more interactive, inclusive, and outcome-focused. Interactive workshops allow participants to co-create policy recommendations, simulate AI governance scenarios, or test ethical frameworks in real-time. This hands-on approach encourages collaboration and practical problem-solving. Thematic hackathons or innovation sprints can engage researchers, developers, and students in designing context-specific AI solutions, highlighting local challenges and opportunities. These formats foster creativity while linking technical innovation to governance priorities. Multi-stakeholder roundtables bring together governments, industry, civil society, and academia to debate contentious issues, share best practices, and build trust. Rotating moderators and breakout sessions ensure all voices are heard. Digital and hybrid platforms enable participation from underrepresented regions, providing tools for live polling, Q&A, and collaborative document editing. This ensures wider engagement without geographical or logistical barriers. Scenario-based dialogues or "futures labs" can explore emerging risks and opportunities of AI in sectors such as health, finance, and public services, helping stakeholders anticipate challenges and co-develop governance strategies. Youth and community forums integrated into the Dialogue can amplify perspectives often missing in high-level discussions, while storytelling sessions allow real-world experiences with AI to inform policy. Combining these formats ensures the AI Dialogue is not only consultative but also action-oriented, inclusive, and capable of generating tangible outcomes that reflect diverse perspectives and practical insights.

Several policies, practices, and platforms provide concrete models for effective AI governance and addressing its challenges. 1. Regulatory frameworks and guidelines: The OECD AI Principles promote transparency, accountability, and human-centered design, offering a globally recognized baseline for ethical AI. Similarly, the UNESCO Recommendation on the Ethics of AI provides guidance on fairness, inclusivity, and respect for human rights. At the national level, the Nigeria Data Protection Commission enforces data protection rules that support responsible AI deployment. 2. Multi-stakeholder platforms: The Global Partnership on Artificial Intelligence fosters collaboration between governments, industry, and civil society to address AI risks and share best practices. Regional initiatives, like the African Union's digital strategy, promote harmonized policies that reflect local priorities. 3. Open-source and inclusive approaches: Platforms promoting open-source AI models, data sharing, and collaborative development encourage transparency and local adaptation. These approaches reduce dependence on external technologies, strengthen digital sovereignty, and empower local developers to build context-relevant solutions. 4. Capacity-building and literacy programs: Initiatives such as AI literacy campaigns, workshops, and university curricula equip stakeholders with the knowledge to understand and shape AI responsibly. Practical training helps bridge the gap between high-level policy and everyday implementation. 5. Accountability and oversight mechanisms: Independent auditing frameworks, algorithmic impact assessments, and transparency reporting ensure AI systems are explainable, fair, and aligned with societal values. By combining these policies, platforms, and practices, governments and organizations can advance AI governance that is ethical, inclusive, and responsive to both global standards and local needs.