This report provides an analysis of the Artificial Intelligence (AI) Readiness study aimed at developing a framework for assessing AI Readiness, which indicates the ability to reap the benefits of AI integration. By studying the actors and characteristics in different domains, a bottom-up approach is followed, which allows us to find common patterns, metrics, and evaluation mechanisms for the integration of AI in these domains. The ITU AI Readiness framework aims to engage with multiple stakeholders around the world, assess and improve the level of integration of AI in various domains, study use cases to validate the weightage of the key factors in those domains, improve global AI capacity building, and foster opportunities for international collaboration.
Trust isn’t coded – it must be designed into the...
Artificial intelligence is advancing at extraordinary speed. Yet the pace at which organizations and nations adopt it will increasingly be...
AI for Good | Global Summit
Why we were at AI for Good: grounding artificial intelligence...
Ask anyone building or using AI tools for research what their biggest concerns are, and hallucinations and citation problems come...
AI for Good | Global Summit
From open data to local impact: An MCP server and...
Imagine you are a climate researcher studying drought patterns across East Africa. The satellite data exists, hosted free on AWS,...
AI for Good | Global Summit
