FOKOUTECH AND ACADEMIC PRO

Build a clear understanding of the role of AI in our future society . Identify priority areas where AI should be implemented first. Analyse needs, set urgency, and test iterative solutions in real conditions. Measure impact at each stage to improve performance over time. Integrate diversity into AI conception and implementation. Ensure protection for vulnerable communities. Promote access to AI knowledge. Create simple learning paths adapted to different culture and community. Prioritise also low-income populations within access and usage of AI.

• Safe, secure and trustworthy AI
• AI capacity-building
• Protection and promotion of human rights
• Open-source software, open data and open AI models

Implement Safe and trustworthy AI to help and protect population. Prioritize the capacity train and develop right skills to facilitate using of AI around the words Technologies and Solutions should remain fair inclusive and consider any culture and population status and ethnicity especially groups that are often exposed to discrimination or exclusion. reduce barriers and supports wider participation in innovation, including for those with fewer resources

Challenges AI skills are uneven across society, limiting participation in digital transformation. Poorly designed systems can reinforce discrimination in critical areas such as hiring, education, healthcare, and public services. Many systems lack transparency, which reduces trust because users cannot understand how decisions are made. High costs, limited infrastructure, and weak connectivity block access for some communities and organisations. Low quality or unbalanced data also reduces reliability and performance in real contexts. Opportunities AI can improve the speed, accuracy, and coordination of essential services like healthcare, education, and public administration. Large-scale training programs can develop digital skills and improve employability and economic inclusion. Well-designed AI can reduce bias and support fairer decision-making across systems. Open tools, shared datasets, and accessible models enable wider participation in innovation, including smaller organisations and under-resourced communities. AI also strengthens decision-making by enabling faster analysis of data and more informed actions in real time.

AI Dialogue could bring countries, organisations, and experts together to talk and agree on how AI should be governed. By reduce disconnected rules and helps everyone work with a clearer direction. Support standards on safety, fairness, and transparency so AI systems will build and be use in a more responsible way. Also strengthens trust between countries by encouraging open discussions on risks, policies, and priorities. Allow people to share experience and learn from what works in different regions, especially in regulation and practical implementation. Help identify risks earlier and supports faster, coordinated responses. Including diverse regions and makes AI governance more balanced and closer to real global needs.

EU AI Act and OECD AI Policy Observatory

The AI Dialogue should use a multi-level structure combining global and regional sessions, thematic working groups, regular cycles, open consultations, and shared documentation. It should ensure balanced participation and focus on practical case studies to support effective and inclusive AI governance.

Low-income countries, rural communities, sector workers, women, minority groups, people with low digital literacy, and small organisations are often underrepresented in global AI governance discussions. Their needs, constraints, and lived experiences are not always reflected in current policies and standards

Innovative engagement formats can make AI Dialogue more practical and inclusive. Community labs allow local testing of AI solutions on real problems. Policy hackathons bring diverse stakeholders together to co-create governance approaches. Living case studies provide real-time learning from AI deployment. Citizen panels give non-experts a structured voice on risks and fairness.

EU AI Act, which regulates AI and OECD principles promote trustworthy and human-centered AI.