Department of National Park and Wildlife ( DNPW)

A successful first Global Dialogue on AI Governance would deliver clear, actionable, and inclusive outcomes that go beyond general discussions. It should establish a shared global understanding of responsible AI principles that reflect diverse regional perspectives, including those from developing countries. One key outcome would be the development of a practical roadmap for AI governance, outlining commitments from governments, private sector actors, and civil society to ensure AI systems are safe, ethical, and aligned with public interest. This should include mechanisms for accountability and ongoing monitoring. Another important outcome would be strengthened international cooperation and partnerships that support knowledge-sharing and joint initiatives. Capacity-building efforts should also be prioritized to enable countries with limited resources to effectively participate in AI development and governance. Additionally, the dialogue should promote inclusive participation by ensuring that all stakeholders, including underrepresented groups, have a voice in shaping AI policies. Overall, success would be defined by the establishment of shared principles, concrete commitments, and sustained collaboration that ensures AI governance is transparent, equitable, and globally representative.

AI capacity-building;Safe, secure and trustworthy AI;Protection and promotion of human rights;Transparency, accountability, and human oversight;

These priorities are critical to ensuring that AI systems are developed and deployed responsibly and equitably. Safe, secure, and trustworthy AI is essential for minimizing risks and building public confidence, particularly as AI systems are increasingly integrated into key sectors. AI capacity-building is a priority because many countries face challenges related to technical expertise, infrastructure, and resources. Strengthening capacity ensures more equitable participation in AI governance and development. The protection and promotion of human rights is fundamental, as AI systems can unintentionally reinforce bias, discrimination, and inequality. Embedding human rights principles helps ensure fairness and inclusivity. Transparency, accountability, and human oversight are also essential to maintain trust and ensure that AI systems remain understandable and subject to appropriate control. These elements help ensure that responsibility can be assigned and corrective actions taken when necessary. Together, these priorities support a balanced, ethical, and inclusive approach to AI governance.

Yes, there are several cross-cutting and emerging issues that require attention. One key issue is the digital divide, which continues to limit access to AI technologies and the benefits they offer, particularly in developing regions. Addressing this gap is essential to prevent further inequality. Data governance, including issues of data ownership, privacy, and sovereignty, is another important area. Many countries lack clear frameworks to regulate how data is collected and used, which raises concerns about misuse and unequal benefit distribution. The environmental impact of AI systems is also an emerging concern, particularly in terms of energy consumption and sustainability. In addition, the rapid pace of AI development presents challenges for regulation, as policies often struggle to keep up with technological advancements. Addressing these issues will be essential to ensure that AI governance remains inclusive, sustainable, and responsive to evolving global challenges.

Governance gaps in key AI thematic areas are having a growing impact, particularly in developing countries. One of the most significant challenges is the absence of comprehensive regulatory frameworks to guide the development and deployment of AI systems. This creates risks related to data misuse, lack of accountability, and limited protection of human rights. In many sectors, including public services and environmental management, AI adoption is increasing, but often without sufficient transparency or oversight. This can lead to biased outcomes, reduced trust in digital systems, and difficulty in assigning responsibility when harm occurs. Limited technical capacity and infrastructure further constrain the ability of institutions to effectively regulate and implement AI solutions. At the same time, these gaps present important opportunities. AI has the potential to improve service delivery, enhance data-driven decision-making, and support sectors such as conservation, agriculture, and urban planning. With the right governance structures, countries can harness AI to address development challenges more efficiently. There is also an opportunity to build inclusive and context-specific governance models that reflect local priorities and values, rather than relying solely on external frameworks. Strengthening capacity, investing in digital infrastructure, and fostering multi-stakeholder collaboration can help bridge existing gaps. Overall, while governance gaps pose risks, they also create a critical window for shaping AI systems in ways that are ethical, inclusive, and aligned with national development goals.

The AI Dialogue can play a critical role as a global platform for fostering trust, coordination, and shared understanding among diverse stakeholders. It provides an opportunity for governments, private sector actors, academia, and civil society to align on common principles and approaches to AI governance, reducing fragmentation across regions. One key role of the Dialogue is to facilitate the exchange of knowledge, best practices, and lessons learned, particularly between developed and developing countries. This can help bridge capacity gaps and support more inclusive participation in global AI governance processes. The Dialogue can also promote interoperability of governance frameworks by encouraging collaboration on standards, guidelines, and regulatory approaches. This would help ensure that AI systems can operate across borders while maintaining safety, accountability, and respect for human rights. Additionally, it can serve as a space to build partnerships and mobilize resources for capacity-building, technical assistance, and innovation. By encouraging multi-stakeholder collaboration, the Dialogue can strengthen collective action and ensure that governance efforts are not siloed. Ultimately, the AI Dialogue can act as a catalyst for coordinated global action, helping to ensure that AI development is guided by shared values and benefits all countries equitably.

The AI Dialogue should build upon and connect with existing international and regional initiatives that are already shaping AI governance. These include the United Nations' efforts on digital cooperation, UNESCO's Recommendation on the Ethics of AI, the OECD AI Principles, and regional frameworks such as the African Union's digital transformation strategies. It should also engage with multi-stakeholder initiatives involving the private sector, academia, and civil society. By linking these efforts, the AI Dialogue can help reduce duplication and fragmentation, creating a more coherent global approach to AI governance. It can act as a coordinating platform that brings together different initiatives, ensuring that their work is complementary and mutually reinforcing. The added value of the AI Dialogue lies in its inclusivity and global reach. It can elevate the voices of underrepresented regions, particularly developing countries, and ensure that their perspectives are reflected in global decision-making. Furthermore, the Dialogue can move beyond principles by encouraging practical implementation, including monitoring progress, sharing tools and resources, and supporting capacity-building initiatives. It can also help identify gaps in existing frameworks and promote collaborative solutions. Overall, the AI Dialogue can strengthen existing efforts while providing a unified, action-oriented platform for advancing responsible and inclusive AI governance.

Different stakeholders can contribute to the AI Dialogue by bringing their unique expertise, perspectives, and experiences into a structured and inclusive process. Governments can provide policy direction and regulatory insights, while the private sector can share technical knowledge, innovation trends, and implementation challenges. Academia can contribute research and evidence-based analysis, and civil society can highlight social impacts, ethical concerns, and community needs. To ensure meaningful contributions, the AI Dialogue should adopt a multi-layered format. This could include high-level plenary sessions for setting priorities, alongside thematic working groups focused on specific issues such as human rights, capacity-building, and AI safety. Regional consultations should also be integrated to capture diverse perspectives and local realities. The structure should allow for both formal and informal engagement, including interactive discussions, case study presentations, and collaborative problem-solving sessions. Clear mechanisms should be established to capture inputs and translate them into actionable recommendations. Additionally, digital participation tools should be utilized to enable remote engagement, ensuring accessibility for stakeholders who may not be able to attend in person. A well-structured, inclusive, and participatory format will ensure that the Dialogue benefits from diverse contributions and produces practical outcomes.

Several voices remain underrepresented in global AI governance discussions, particularly those from developing countries, rural communities, and marginalized groups. Small and medium-sized enterprises (SMEs), local innovators, and public sector practitioners in low-resource settings are also often excluded, despite being directly impacted by AI systems. Youth, women, and indigenous communities are especially underrepresented, even though they bring valuable perspectives on equity, inclusion, and long-term societal impacts. In addition, non-technical stakeholders, including community leaders and social sector organizations, are often overlooked in highly technical discussions. To address this, the AI Dialogue should prioritize inclusive participation through targeted outreach, financial support (such as travel grants or stipends), and accessible virtual participation options. Language accessibility is also important, including translation and interpretation services. Dedicated sessions should be created to amplify these voices, ensuring they are not only present but actively engaged in decision-making processes. Partnerships with local and regional organizations can help identify and support participants from underrepresented groups. By intentionally creating space for diverse perspectives, the AI Dialogue can ensure that governance frameworks are more equitable, context-sensitive, and reflective of global realities.

Innovative engagement formats can significantly enhance participation and ensure that the AI Dialogue is dynamic and impactful. One effective approach is the use of interactive workshops and scenario-based discussions, where participants collaboratively explore real-world challenges and develop practical solutions. Another format is multi-stakeholder roundtables that bring together diverse participants to engage in focused, solution-oriented conversations. These can encourage deeper dialogue and mutual understanding across sectors. Digital platforms can also be leveraged to host live polls, Q&A sessions, and collaborative whiteboards, enabling real-time input and engagement from both in-person and virtual participants. This helps create a more inclusive and participatory environment. Hackathon-style sessions or innovation labs can be introduced to generate creative ideas and prototypes addressing specific AI governance challenges. These formats encourage active participation and practical problem-solving. Storytelling and case study sessions can also be valuable, allowing participants to share lived experiences and lessons learned from different contexts. Finally, hybrid formats that combine in-person and virtual engagement can broaden participation and ensure accessibility. By using a mix of interactive, collaborative, and technology-enabled approaches, the AI Dialogue can foster meaningful engagement and produce actionable outcomes.

Several global and regional frameworks provide useful guidance for strengthening AI governance in Zambia and similar contexts. UNESCO's Recommendation on the Ethics of Artificial Intelligence offers a strong foundation, particularly in promoting human rights, inclusivity, and environmental sustainability-key priorities for developing countries. The OECD AI Principles and the European Union's risk-based AI Act also provide practical models for ensuring accountability, transparency, and safety in AI deployment. In Zambia, these frameworks can be adapted to support responsible AI use in sectors such as wildlife conservation, public administration, and natural resource management. For example, AI-powered tools like remote sensing, predictive analytics, and surveillance systems are increasingly used to monitor wildlife and prevent illegal activities. However, without clear governance structures, such technologies may raise concerns related to privacy, data protection, and misuse. Practical approaches such as algorithmic impact assessments can help evaluate risks before deploying AI systems, ensuring that they are fair, transparent, and context-appropriate. Additionally, data governance frameworks that address data ownership, sovereignty, and security are essential, particularly when working with sensitive environmental and community data. Open-source platforms and partnerships with research institutions can further support innovation and knowledge-sharing while reducing costs. Capacity-building initiatives, including digital skills training for public sector professionals, are also critical to ensuring effective implementation and oversight. Overall, combining global best practices with locally relevant approaches can help Zambia harness AI responsibly while addressing governance gaps and supporting sustainable development.