RA DARUL ULUM MUNIR LAMPUNG
Responses
In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?
A successful outcome of the first Global Dialogue on AI Governance would be the establishment of clear, inclusive, and practical guidelines for the responsible use of AI across different sectors, especially education. First, the dialogue should result in shared ethical principles that prioritize human well-being, fairness, and transparency. These principles need to be understandable and applicable not only to experts but also to everyday users, including teachers and students. Second, it would be important to create specific guidance for the use of AI in education. For example, AI should be positioned as a tool to support educators, not replace human interaction, particularly in early childhood education where social and emotional development is essential. Third, the dialogue should encourage global collaboration by sharing best practices and addressing inequalities in access to technology. Many communities still have limited resources, so inclusive policies are necessary to ensure that the benefits of AI are distributed fairly. Finally, a successful outcome would include ongoing engagement, where voices from diverse backgrounds such as educators, parents, and local communities continue to be heard in shaping AI governance. Overall, success means creating policies that are not only global in vision but also practical and meaningful at the local level.
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?
- Social, economic, ethical, cultural, linguistic and technical implications of AI
- Protection and promotion of human rights
- Safe, secure and trustworthy AI
- Open-source software, open data and open AI models
Please briefly explain your selection.
2
I selected these priorities because, as an early childhood education teacher, I directly experience both the potential and the challenges of AI in education. AI can be a very helpful tool for educators, especially in preparing learning materials and reducing administrative workload. However, in early childhood education, human interaction remains essential for children's emotional, social, and cognitive development. This is why I believe AI should be carefully guided and not replace the role of teachers. I also see that not all schools have equal access to technology. Some educators may benefit greatly from AI, while others are still limited by resources and digital skills. This gap needs to be addressed through inclusive and fair policies. In addition, clear ethical guidelines are important to ensure that AI is used responsibly, especially when it involves children. Protecting privacy and ensuring age-appropriate use are key considerations. For these reasons, I believe that practical guidance, ethical standards, and inclusive global cooperation are essential priorities in AI governance.
In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.
2
Yes, one important emerging issue that is often overlooked is the impact of AI on early childhood development. Most discussions on AI focus on older students or professionals, but very little attention is given to young children. In early childhood education, human interaction, play-based learning, and emotional connection are essential. The introduction of AI, if not carefully managed, could reduce these important elements. Another cross-cutting issue is digital literacy among educators. Many teachers, especially in smaller or less-resourced schools, may not have sufficient training to use AI effectively and responsibly. Without proper support, the benefits of AI may not be fully realized, and risks may increase. Additionally, there is a growing concern about dependency on AI-generated content. Over-reliance on AI may affect creativity, originality, and critical thinking skills not only for students but also for educators. Finally, the issue of equitable access remains critical. Unequal access to technology can widen the gap between different communities, making it harder to ensure fair and inclusive use of AI globally. These issues should be considered to ensure that AI governance is truly inclusive and responsive to all levels of society, including early education.
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.
In my country, Indonesia, the governance gaps in AI are still quite visible, especially in the education sector. One of the most significant challenges is the lack of clear and practical guidelines for educators on how to use AI responsibly. Many teachers are starting to use AI tools for lesson planning and administrative tasks, but without proper guidance, there is a risk of over-reliance and misuse. This is particularly important in early childhood education, where human interaction plays a central role in children's development. Another major challenge is unequal access to technology. Schools in urban areas may benefit more from AI, while those in rural or under-resourced communities face limitations in infrastructure, internet access, and digital literacy. This gap can widen educational inequality. At the same time, there are important opportunities. AI has the potential to support teachers by reducing workload, improving efficiency, and providing creative teaching resources. This can allow educators to focus more on student engagement and development. There are also ongoing efforts and growing awareness in Indonesia regarding digital transformation, which creates a positive environment for improving AI governance in the future. Overall, addressing governance gaps while maximizing these opportunities is essential to ensure that AI benefits all sectors of society, including early childhood education.
What role can the AI Dialogue play in advancing international cooperation on AI governance?
The AI Dialogue can play a crucial role in advancing international cooperation by creating a shared platform for inclusive and open discussion among diverse stakeholders. First, it can help establish common principles and ethical standards for AI governance that are accepted across countries. This is important to ensure that AI development prioritizes human well-being, fairness, and transparency globally. Second, the Dialogue can facilitate the exchange of knowledge and best practices. Countries with more advanced AI systems can share their experiences, while others can learn and adapt these practices based on their local context, including in education. Third, it can help address global inequalities by highlighting the challenges faced by developing countries, such as limited access to technology and digital skills. Through cooperation, resources and support can be distributed more fairly. Additionally, the AI Dialogue can amplify diverse voices, including educators, community members, and other non-technical stakeholders. This ensures that AI governance is not only shaped by experts but also reflects real-world needs. Finally, it can encourage long-term collaboration and continuous engagement, allowing countries to work together in adapting policies as AI continues to evolve. Overall, the Dialogue can serve as a bridge that connects global perspectives with local realities, fostering cooperation that is both inclusive and practical.
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 AI Dialogue should build upon existing global and regional initiatives that promote responsible and inclusive AI development. For example, frameworks such as the UNESCO Recommendation on the Ethics of Artificial Intelligence and the work of the OECD on AI principles provide strong foundations for ethical standards and policy guidance. In addition, multi-stakeholder initiatives like the Global Partnership on AI and regional collaborations within Association of Southeast Asian Nations can offer valuable insights, especially in addressing diverse socio-economic contexts. The added value of the AI Dialogue lies in its inclusiveness and global reach. It can connect these existing efforts into a more coordinated and accessible platform, ensuring that not only governments and experts, but also educators, local communities, and underrepresented groups can contribute. Furthermore, the Dialogue can help translate high-level principles into practical guidance that can be applied in everyday contexts, such as education. It can also strengthen collaboration by encouraging knowledge-sharing, capacity-building, and support for countries with limited resources. Overall, the AI Dialogue can act as a bridge between existing initiatives, making AI governance more connected, inclusive, and actionable at both global and local levels.
How can different stakeholders contribute to the AI Dialogue? Please share recommendations for the format and structure of the AI Dialogue.
Different stakeholders can contribute to the AI Dialogue by sharing their unique perspectives, experiences, and practical needs. Governments can provide policy direction and regulatory frameworks, while the private sector can contribute technical expertise and innovation. Educators and civil society, including teachers and community members, can offer insights into real-world impacts, especially in areas like education and social development. To ensure meaningful participation, the AI Dialogue should adopt an inclusive and accessible format. It should include open consultations, online submissions, and interactive discussions that allow participation from individuals and communities worldwide, not only experts. The structure of the Dialogue should be multi-level. At the global level, it can focus on broad principles and international cooperation. At regional and local levels, it should address context-specific challenges and practical implementation. In addition, the Dialogue should provide clear summaries and actionable outcomes after each session, so participants can see how their contributions are used. Continuous engagement is also important, with regular follow-ups and updates. Finally, capacity-building initiatives, such as training and knowledge-sharing sessions, should be included to support stakeholders with limited resources or digital literacy. Overall, an inclusive, structured, and action-oriented approach will ensure that the AI Dialogue is both impactful and relevant to diverse communities.
Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?
Many voices are still underrepresented in global discussions on AI governance, especially educators, local communities, and people from developing countries. Teachers, particularly in early childhood education, are rarely included, even though they directly see how AI affects learning and child development. Parents and local communities are also often left out, even though they experience the social impact of AI in daily life. In addition, people from rural or low-resource areas have limited access to technology and opportunities to participate, so their perspectives are not fully heard. To include these voices, the AI Dialogue should provide more accessible ways to participate, such as simple online forms, multilingual platforms, and outreach programs. It is also important to involve schools, community groups, and local organizations in the discussion. By making participation more inclusive and practical, AI governance can better reflect real-world needs and ensure that no group is left behind.
What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?
Innovative engagement formats can make the AI Dialogue more inclusive, interactive, and meaningful for participants from different backgrounds. One effective format is small group discussions or breakout sessions, where participants can share experiences more openly. This is especially useful for educators and community members who may feel less comfortable speaking in large forums. Another useful approach is using online platforms with interactive features, such as polls, Q&A sessions, and real-time feedback. This allows participants to actively engage rather than just listen. Story-based sharing is also important. Participants can share real-life experiences, for example how AI affects teaching, learning, or daily work. This makes the discussion more practical and relatable. In addition, multilingual sessions and simple communication formats can help include participants from different regions and language backgrounds. Finally, combining online and offline participation (hybrid format) can increase accessibility, especially for those with limited resources. Overall, engagement should be interactive, inclusive, and easy to access, so that all participants can contribute meaningfully to the dialogue.
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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Several policies and practices can support effective AI governance and help address its challenges. For example, the UNESCO Recommendation on the Ethics of Artificial Intelligence promotes principles such as transparency, accountability, and human-centered AI. It provides guidance that can be adapted by different countries. Another example is the AI Principles developed by the OECD, which emphasize fairness, safety, and responsible innovation. These principles help guide both governments and organizations. In practice, some schools and institutions are starting to use AI guidelines for educators, encouraging teachers to use AI as a support tool while maintaining human interaction, especially in early childhood education. In terms of platforms, open consultations and online feedback systems allow people from different backgrounds to share their views on AI policies. This makes governance more inclusive. An important approach is capacity-building, such as training programs for teachers and communities to improve digital literacy and responsible AI use. Overall, combining ethical guidelines, practical policies, inclusive platforms, and education can provide concrete solutions for more effective and responsible AI governance.