Session
Organizer 1: Civil Society, Intergovernmental Organization
Organizer 2: Intergovernmental Organization, Intergovernmental Organization
Organizer 2: Intergovernmental Organization, Intergovernmental Organization
Speaker 1: El-noush Haitham, Government, Western European and Others Group (WEOG)
Speaker 2: DellAccio Dino Cataldo, Intergovernmental Organization, Intergovernmental Organization
Speaker 3: Mevish Vaishnav, Private Sector, Asia-Pacific Group
Speaker 4: Rajendra Gupta, Technical Community, Asia-Pacific Group
Speaker 2: DellAccio Dino Cataldo, Intergovernmental Organization, Intergovernmental Organization
Speaker 3: Mevish Vaishnav, Private Sector, Asia-Pacific Group
Speaker 4: Rajendra Gupta, Technical Community, Asia-Pacific Group
Format
Roundtable
Duration (minutes): 90
Format description: Justification for Roundtable Format (90 Minutes) A roundtable format is ideal for this session as it encourages interactive, multi-stakeholder dialogue on AI capacity-building, ensuring diverse perspectives are heard. Given the complexity of AI adoption, education, and governance, a traditional panel format would limit engagement, while a roundtable fosters equal participation, collaborative problem-solving, and dynamic discussion among policymakers, industry experts, educators, and civil society representatives. A 90-minute duration allows for: • Brief expert insights (20-30 minutes) to set the stage with global best practices. • Breakout discussions (30 minutes) where participants exchange experiences, challenges, and solutions. • Action-oriented synthesis (30 minutes) to consolidate recommendations and potential follow-ups. This format ensures that the session moves beyond passive discussion, fostering real-time knowledge exchange and practical outcomes. By prioritizing engagement, the roundtable will produce policy insights, collaboration opportunities, and concrete strategies for AI capacity-building at national and global levels.
Duration (minutes): 90
Format description: Justification for Roundtable Format (90 Minutes) A roundtable format is ideal for this session as it encourages interactive, multi-stakeholder dialogue on AI capacity-building, ensuring diverse perspectives are heard. Given the complexity of AI adoption, education, and governance, a traditional panel format would limit engagement, while a roundtable fosters equal participation, collaborative problem-solving, and dynamic discussion among policymakers, industry experts, educators, and civil society representatives. A 90-minute duration allows for: • Brief expert insights (20-30 minutes) to set the stage with global best practices. • Breakout discussions (30 minutes) where participants exchange experiences, challenges, and solutions. • Action-oriented synthesis (30 minutes) to consolidate recommendations and potential follow-ups. This format ensures that the session moves beyond passive discussion, fostering real-time knowledge exchange and practical outcomes. By prioritizing engagement, the roundtable will produce policy insights, collaboration opportunities, and concrete strategies for AI capacity-building at national and global levels.
Policy Question(s)
Policy Questions
1. How can policymakers ensure equitable access to AI education and capacity-building, particularly for underserved communities?
• This explores policies for inclusive AI literacy and skill development.
2. What governance models balance AI innovation with ethical and responsible deployment?
• This examines regulatory frameworks ensuring fairness, transparency, and accountability.
3. How can multi-stakeholder collaboration drive sustainable AI capacity-building at national and global levels?
• This focuses on partnerships between governments, academia, industry, and civil society to create scalable AI training programs and policies.
These questions will help shape actionable recommendations for responsible and inclusive AI adoption.
What will participants gain from attending this session? Participants will leave this session with a deeper understanding of AI capacity-building as a critical enabler for inclusive and responsible AI adoption. They will gain insights into successful models of AI education, upskilling initiatives, and governance strategies that ensure AI benefits are equitably distributed across diverse communities.
By engaging with experts from different sectors and regions, attendees will be exposed to diverse perspectives on AI literacy, workforce readiness, and ethical AI governance. They will also explore practical tools and frameworks for designing AI training programs, fostering public-private collaborations, and integrating AI ethics into education and policy.
Through interactive discussions and real-world case studies, participants will identify actionable steps to implement AI capacity-building in their own contexts, whether at the policy, industry, or community level. This session will empower them to move beyond AI hype, ensuring that AI adoption is informed, inclusive, and sustainable.
Description:
As artificial intelligence (AI) rapidly transforms industries, societies, and governance, the fear of missing out (FOMO) on its potential has led to a global race for adoption. However, without robust capacity-building efforts, this rush risks exacerbating inequalities, deepening digital divides, and creating unintended consequences. This session, under the subtheme of Capacity Development and Digital Cooperation, will explore how diverse stakeholders can build sustainable AI literacy, technical expertise, and ethical governance frameworks to ensure inclusive participation in the AI-driven future. This interactive workshop will bring together policymakers, educators, industry leaders, and civil society representatives to discuss best practices for AI capacity-building. It will highlight successful models from various regions, including AI education initiatives, upskilling programs, and governance strategies that promote responsible AI use. Special emphasis will be placed on addressing the needs of underrepresented communities, ensuring that AI benefits are equitably distributed. Through a mix of panel discussions, case studies, and audience-driven problem-solving exercises, participants will gain practical insights into designing impactful AI literacy programs, fostering public-private partnerships, and integrating AI ethics into educational curricula. By showcasing concrete success stories and lessons learned, this session will move beyond the hype, offering tangible solutions to build an AI-ready workforce and society. Join us to collectively shape a future where AI is not just a privilege of the few but an opportunity for all.
As artificial intelligence (AI) rapidly transforms industries, societies, and governance, the fear of missing out (FOMO) on its potential has led to a global race for adoption. However, without robust capacity-building efforts, this rush risks exacerbating inequalities, deepening digital divides, and creating unintended consequences. This session, under the subtheme of Capacity Development and Digital Cooperation, will explore how diverse stakeholders can build sustainable AI literacy, technical expertise, and ethical governance frameworks to ensure inclusive participation in the AI-driven future. This interactive workshop will bring together policymakers, educators, industry leaders, and civil society representatives to discuss best practices for AI capacity-building. It will highlight successful models from various regions, including AI education initiatives, upskilling programs, and governance strategies that promote responsible AI use. Special emphasis will be placed on addressing the needs of underrepresented communities, ensuring that AI benefits are equitably distributed. Through a mix of panel discussions, case studies, and audience-driven problem-solving exercises, participants will gain practical insights into designing impactful AI literacy programs, fostering public-private partnerships, and integrating AI ethics into educational curricula. By showcasing concrete success stories and lessons learned, this session will move beyond the hype, offering tangible solutions to build an AI-ready workforce and society. Join us to collectively shape a future where AI is not just a privilege of the few but an opportunity for all.
Expected Outcomes
Expected Outcomes & Outputs
This session aims to identify best practices, challenges, and policy recommendations for AI capacity-building, ensuring inclusive and responsible AI adoption. Participants will leave with actionable insights on AI literacy programs, workforce training models, and governance frameworks that promote ethical AI use.
Key outputs include:
• A summary report outlining key takeaways, policy recommendations, and successful case studies from the discussion.
• A potential collaborative initiative or working group to explore AI education and capacity-building strategies across sectors.
• Follow-up engagements, such as webinars or policy roundtables, to continue discussions and track progress on capacity-building initiatives.
By fostering multi-stakeholder collaboration, this session will contribute to broader AI governance discussions, ensuring that AI benefits are distributed equitably and sustainably worldwide.
Hybrid Format: Hybrid Engagement Plan
To ensure an inclusive and interactive hybrid experience, we will:
• Facilitate equal participation by assigning an online moderator to relay questions, comments, and insights from virtual attendees to onsite speakers in real time.
• Use live polls and Q&A tools (e.g., Slido or Mentimeter) to gather inputs from both online and onsite participants, fostering real-time engagement.
• Enable breakout discussions by using hybrid-friendly tools (e.g., Zoom breakout rooms) where onsite and online participants collaborate on key AI capacity-building challenges.
• Encourage audience-driven dialogue with a structured format: brief expert insights, interactive discussions, and collective takeaways.
• Leverage social media (Twitter, LinkedIn) and a shared online document to collect post-session feedback and extend discussions.
This approach ensures seamless engagement, allowing all participants—regardless of location—to contribute meaningfully to AI capacity-building solutions.