AI for Development and Impact (AI4D) 2026

September 16, 2026
Norrsken Social Hub, Barcelona

What is the Summit about?

Day 1 of ECOSYSTEM Barcelona, AI4D 2026 focuses on responsible and practical AI for development, humanitarian action, NGOs, donors, public-good innovation, and impact. The program emphasizes real-world use cases, implementation lessons, governance, and partnerships.

Topics will include:

  • Responsible and practical AI for development: exploring real-world uses of AI in development, humanitarian action, NGOs, donors, and public-good innovation.
  • Advanced solutions for development delivery: examining how AI can improve development finance, transparency, implementation, and public value.
  • AI adoption and change management in NGOs: discussing capacity, organizational readiness, and practical pathways for responsible adoption.
  • Donor strategies for responsible AI in development: exploring how bilateral and multilateral actors are shaping AI governance, funding, and implementation approaches.
  • Evidence, evaluation, and investment workflows: looking at AI-enabled decision workflows, evaluation frameworks, and pathways from pilots to evidence.
  • Responsible AI, ethics, governance, and local realities: addressing power, incentives, accountability, and the missing local layer in development decisions.

What to expect

The preliminary agenda is subject to change and includes plenary sessions, panels, breakout sessions, closed-door sessions, and networking.

  • Practical sessions focused on implementation, governance, partnerships, and real-world AI adoption.
  • Keynotes and panels featuring leaders from international organizations, donors, technology organizations, NGOs, and research institutions.
  • Breakout sessions covering NGO adoption, donor strategy, AI-enabled workflows, agriculture, investment, ethics, and local decision-making.
  • Networking opportunities throughout the day, ending with rooftop cocktails and networking.

Speakers

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Faqs

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Born from a collaboration between diplomats and data scientists, DevelopMetrics harnesses its proprietary machine learning algorithm, Development Evidence Large Language Model (DELLM), to enhance the efficacy and impact of international development through comprehensive evidence analysis.

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