NIGERIA FORUM FOR AI GOVERNANCE
Responses
In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?
A successful inaugural Dialogue must achieve four critical outcomes: Equitable Representation: Transitioning from consumer to co-driver status for Global South nations, ensuring international standards are not solely dictated by major tech powers. Resource Interoperability: Establishing concrete mechanisms for equitable access to high-performance computing (HPC) and inclusive datasets to bridge the "AI divide". Interoperable Standards: Facilitating a baseline for "Secure-by-Design" AI that respects diverse cultural and linguistic contexts while preventing regulatory arbitrage. Tangible Commitments: Moving beyond aspirational principles to actionable, binding implementation plans for the Global Digital Compact, including clear pathways for national domestication.
From your perspective, which of the following thematic areas identified by the General Assembly Resolution 79/325 for the AI Dialogue reflect your priorities for urgent action and active engagement?
- AI capacity-building
- Safe, secure and trustworthy AI
- Social, economic, ethical, cultural, linguistic and technical implications of AI
- Protection and promotion of human rights
Please briefly explain your selection.
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These selections align with Nigeria's National Artificial Intelligence Strategy (NAIS). Capacity-building is critical for our youth-led economy, exemplified by the 3 Million Technical Talent (3MTT) program by our national government. Safe/Trustworthy AI is essential to mitigate domestic risks, such as data poisoning and fraud, in our rapidly digitizing banking and healthcare sectors. Socio-cultural/Linguistic implications are prioritized to foster localized innovation, such as government-backed Large Language Models (LLMs) for Hausa, Igbo, and Yoruba. Human Rights ensures that AI adoption does not exacerbate existing inequalities or facilitate unethical data extraction".
In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.
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The NFAIG identifies Digital Sovereignty and Fair Data Compensation as a vital emerging issue. This includes the right of nations to require that data generated by their citizens contribute directly to the local economy. For instance, Nigeria's proposed Digital Sovereignty and Fair Data Compensation Bill introduces a 2% National AI Development Fund contribution from foreign firms using local data, addressing the unregulated extraction of value from the Global South.
How are the governance gaps and related developments/advances in the thematic areas you selected above affecting your country, region, or sector? Please highlight the most significant challenges.
Challenges: Africa faces regulatory fragmentation, with inconsistent data protection regulations and emerging AI policies, leading to uncertainty for innovators. There is also a severe infrastructure gap regarding GPU/TPU availability and domestic cloud hosting. Opportunities: The Nigeria National AI Strategy 2025 and the upcoming National Digital Economy and E-Governance Bill provide a window to institutionalize a risk-based, multistakeholder approach. The NFAIG serves as the bridge to harmonize these efforts into a unified national posture.
What role can the AI Dialogue play in advancing international cooperation on AI governance?
The Dialogue should serve as a "Dialogue of Dialogues," connecting disparate regional initiatives (like the AU Continental AI Strategy) to promote mutual recognition of standards. It can facilitate a Global Frontier AI Governance Evaluation Framework, as a common assessment environment that allows developing nations to consult global stakeholders, engage peers, and validate the safety of foreign models before large-scale domestic deployment.
What are some of the existing initiatives, partnerships, or mechanisms that the AI Dialogue should build upon or connect with, and what added value could the AI Dialogue bring?
The Dialogue should build upon the UNESCO Recommendation on the Ethics of AI, the OECD AI Principles, and the Bletchley Declaration, and Internet Governance outcomes on AI ethics. Added value lies in its universal home at the UN, which grants it the legitimacy to host an Independent International Scientific Panel on AI that separates scientific evidence from short-term market pressures.
How can different stakeholders contribute to the AI Dialogue? Please share recommendations for the format and structure of the AI Dialogue.
NFAIG recommends a Multistakeholder Advisory Group (MAG) modeled on the Internet Governance model, with rotating leadership among government, the private sector, and civil society. This ensures that "seat at the table" translates into agenda-setting power. We suggest structured thematic working groups that meet intersessionally to produce evidence-based assessments for the annual plenaries.
Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?
Global South innovators, local language researchers, and civil society organizations (CSOs) in developing markets are underrepresented. They can be included through Participation Support funds, regional "hubs" such as the NFIAG recently established by Global Network for Cybersolution that feed into the Global Dialogue, and by mandating that a percentage of the Dialogue's leadership roles be held by representatives from emerging AI economies
What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?
While panel and other contemporary formats are good, the UN should avoid the usual talk-show format. The engagement should be impactful, with measurable, evidence-based outcomes. For example, hybrid digital sandboxes allow cross-border assessment and formulation of global policies and products under joint multistakeholder oversight. AI for Good Hackathons that co-locate rapid problem-solving prototyping events with dialogue to showcase localized SDG solutions should be considered.
Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.
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A rotating secretariat model that prevents institutional capture and ensures balanced ecosystem growth is paramount. Another is the Nigeria Data Protection Commission (NDPC) Annual Compliance Audits, which use the NDPA 2023 as a benchmark for responsible data usage in AI workflows and mandate that organizations in Nigeria implement this practice. This practice is working and practically effective. A similar practice model can be adopted. To promote effective AI governance, particularly within the framework of a dynamic Governance Model, the focus should shift from static regulation to dynamic, adaptive policies. One of our members developed the "REST AI Governance Framework" and its subsequent expansion into a white paper, made possible by the invaluable support, insights, and early reviews of distinguished experts across the fields of artificial intelligence, cybersecurity, governance, and policy. Perhaps a copy can be downloaded to explore its consideration for an Adaptive and Trusted AI Governance Framework for the Global South.