Page 113 - AI Standards for Global Impact: From Governance to Action

AI Standards for Global Impact: From Governance to Action

16 AI readiness workshop

16�1 Introduction Part 2: Thematic AI

The AI Readiness workshop during the AI for Good Summit in May 2024 served as a foundational
platform for discussion on these questions, where the report titled "Preliminary Analysis Towards
a Standardized Readiness Framework" was published. This preliminary report examined multiple
AI use cases and identified six key readiness factors:

• Data: Accessibility and quality of datasets for analysis of AI applications.
• Research: Collaboration between domain-specific and AI research communities.
• Deployment support: Infrastructure and ecosystem readiness for AI deployment.
• Standards: Ensuring trust, interoperability, and compliance.
• Open source and code: Enabling rapid adoption through an open developer ecosystem.
• Sandbox environments: Platforms for AI experimentation and validation.

To advance these discussions, version 1.0 of the ITU AI Readiness report, along with a Call for
Engagement towards the ITU AI Readiness Plugfest, was launched by ITU and the Kingdom of
Saudi Arabia during the 2024 GAIN Summit.

The ITU AI Readiness Plugfest is an initiative to explain the AI readiness factors to various
stakeholders and provide a platform for stakeholders to "plug in" their regional AI readiness
factors, such as data accessibility, AI models, compliance with standards, toolsets, and training
programs. Additionally, a Technical Advisory Committee, composed of experts invited through
AI for Good Impact initiative, provides strategic guidance and feedback on AI readiness projects.
To study the sandbox environments and influence AI readiness, cloud credit support is provided
to selected projects, further facilitating the development and deployment of AI solutions in
real-world applications.

The AI Readiness Workshop at the AI for Good Global Summit 2025 complemented and
enhanced the AI readiness studies with a strategic set of assessment indicators which will
assist stakeholders, especially in developing countries, in evaluating and improving their AI
readiness status. The workshop also discussed case studies, priority areas for attention and
resource investment and improving global AI capacity building and fostering opportunities for
international collaboration based on existing assessment mechanisms.

By fostering collaboration among global stakeholders, industry leaders, and researchers, this
workshop aimed to support the standardization of AI readiness evaluation and accelerate AI
adoption across diverse domains. The workshop also identified the next steps leading to the
release of an updated AI Readiness Report, incorporating new findings, industry feedback, and
key developments from the Pilot AI Readiness Plugfest.

Presentations can be found at AI Readiness Workshop.

16�2 Pilot AI readiness plugfest presentation and partner sharing

Some of the main projects that were presented are shown below:

i. Saudi Data and AI Authority presented the strategy of the data and information building of
Saudi Arabia, with a use case of EYENAI for diabetic retinopathy. EYENAI is an AI-powered
medical solution for accurate diabetic retinopathy detection and diagnosis. It utilizes

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