I Built 3 Agentic AI Systems Inside the UN — Here’s What Most Humanitarian Pilots Get Wrong

1. 1Build a prototype of an agentic AI system using a platform like Python or R to understand the complexities of multi-agency governance
2. 2Configure a data pipeline to integrate refugee voice messages and other humanitarian data sources
3. 3Test the system's ability to perform governance audits and identify areas for improvement
4. 4Apply the lessons learned from the UN's agentic AI systems to your own humanitarian project
5. 5Compare the performance of different AI models and algorithms for agentic AI systems

AI engineers, data scientists, and product managers working on humanitarian projects can benefit from understanding the challenges and lessons learned from building agentic AI systems

💡 Agentic AI systems can be effective in humanitarian contexts, but require careful consideration of data integration, governance, and auditing

🚀 Building agentic AI systems for humanitarian causes? Learn from the UN's experiences and avoid common pitfalls #AIforGood #HumanitarianAI