1. Preparing our education systems for the age of AI isn’t just about technology, it’s about ethics and responsibility. It means teaching how to use AI fairly, safeguard privacy, and make sure digital literacy reaches every learner, including those in underserved regions. 2. AI often reflects the biases of their creators and the data they are trained on. This has profound implications for gender equity in digital governance and citizen engagement. 3. The success of AI integration depends on partnerships across government, academia, civil society, and international organizations. 4. AI solutions must be adapted to local languages, cultures, and realities. Investing in context-aware innovation, such as AI tools that understand indigenous languages or rural education challenges, ensures that no community is left behind in the digital transition. 5. As AI adoption grows, so does its energy and resource footprint. UNDP’s Greening Moonshot initiative provides practical guidance to manage AI’s environmental impact. This reinforces the principle that AI should be deployed in ways that promote sustainability and social equity, especially in underserved regions.

A handover is been developed to ensure continuity and institutional learning acroos the CO. It includes a summary of the AI-for-participation challenge, exploring how AI can strengthen citizen engagement across education, and national initiatives. Also, as part of the documentation, methodologies and insights were consolidated in shared digital folders for the Country Office. Key stakeholders and next steps were outlined, and a debrief session was held with relevant colleagues to facilitate knowledge transfer and follow-up implementation.

These data sources were selected to address critical gaps in: - Language inclusion: Indigenous languages are underrepresented in digital systems. The AI Language prototype aimed to digitize and translate low-resource languages like Quechua to ensure inclusive participation. - Youth digital literacy: Surveys and interviews revealed that while adolescents are increasingly online, many lack the skills to navigate AI and media responsibly. Parents also lack the digital literacy to guide them. - Civic engagement monitoring: Social media data and platform analytics helped track misinformation and hate speech, especially in electoral contexts. - Access and equity: Device and connectivity data highlighted disparities in urban vs. rural and public vs. private school contexts.

- Collective intelligence enabled co-creation with youth, educators, and indigenous communities, surfacing lived experiences and systemic barriers. - Design thinking and sprints allowed rapid prototyping of AI tools tailored to local contexts, such as the avatar in Quechua developed with MediaLAB / Universidad San Marcos. - Digiwise pilot revealed structural gaps in digital literacy and helped validate content with real users. These methods helped unpack the system by revealing how digital exclusion intersects with language, geography, and governance, and by testing scalable, inclusive solutions.

The convergence of participatory methods, context-specific data, and unconventional partnerships allowed us to uncover systemic blind spots in digital inclusion. For example, working with MediaLAB revealed how language barriers in AI tools can perpetuate exclusion. Partnering with them and working jointly with the UNDP Digital, AI and Innovation Hub, will enable us to prototype AI solutions that are socially and ethically grounded.

Thank you.