Join us as Kira Intrator (MIT-trained urban planner, systems thinker, and social impact technologist based in Geneva) makes the case that AI for Good isn't failing because of models - it's failing because of systems.Kira walks through why so many AI pilots never reach deployment, drawing on her experience building tools scaled across 9,000 users, three ministries, and six countries in Central Asia. You'll learn the five factors that kill AI projects in the development sector, why 80% of clinical AI models are trained on data that can't be deployed outside Western contexts, and what the $2.6 trillion opportunity in developing markets actually requires to unlock. This episode is equal parts systems thinking masterclass and call to action - a rare perspective from someone who has moved AI from prototype to production in places most tech professionals never consider.TimestampsHow to find Kira:https://www.linkedin.com/in/kiraintrator/Links from the show:Infrastructure & PlatformsAnthropic Beneficial Deployments: https://www.anthropic.com/Google Research Global South Labs: https://research.google/Lelapa AI: https://lelapa.ai/Microsoft AI for Good: https://www.microsoft.com/en-us/ai/ai-for-goodOpenAI Foundation: https://openai.com/Research & Innovation HubsData Science Africa: https://www.datascienceafrica.org/Masakhane: https://www.masakhane.io/Stanford HAI: https://hai.stanford.edu/Wadhwani AI: https://www.wadhwaniai.org/Global Governance & PolicyOECD AI Observatory: https://oecd.ai/UNICEF Office of Innovation: https://www.unicef.org/innovation/World Health Organization AI: https://www.who.int/Funders & PhilanthropiesGates Foundation: https://www.gatesfoundation.org/Patrick J. McGovern Foundation: https://www.mcgovern.org/ConferencesAI for Good Global Summit (July 7-10, 2026 - Geneva): https://aiforgood.itu.int/Data Science Africa 2026 (July 20-24 - Kampala, Uganda): https://www.datascienceafrica.org/Deep Learning Indaba 2026 (August 2-7 - Lagos, Nigeria): https://deeplearningindaba.com/