Page 10 - AI Ready – Analysis Towards a Standardized Readiness Framework

AI Ready – Analysis Towards a Standardized Readiness Framework

The report audience are:

(1) The “providers” are entities that supply readiness factors such as data, code, models,
toolsets, and training. These providers, which can be public or private, might also
contribute to standards. They may act as sources or downstream collators of these factors.
Examples include domain experts who collect and analyze data to create models, as well
as toolset vendors, including those offering open-source solutions. The report aims to help
providers identify gaps in these factors and their associated characteristics.
(2) The “users” are entities that deploy or benefit from the readiness factors. They include
decision makers who need to determine which provider will offer the maximum benefit.
Examples of users are governments, regulators, and other entities within specific domains.
Future steps and conclusions are described in clause 6, mainly three steps are proposed (1) an
open repository of data would be set up to address the corresponding AI readiness factor for
the availability of open data, (2) the creation of an experimentation Sandbox with pre-populated
standard compliant toolsets and simulators studying the impact of the readiness factors and (3)
derivation of open metrics and opensource reference toolsets for measurement and validation
of AI readiness. In addition, a Pilot AI Readiness Plugfest is planned to give an opportunity to
explain the AI Readiness factors to various stakeholders and allow them to “plugin” various
regional factors such as data, models, standards, toolsets, and training.

The results of the plugfest along with the next version of this report will be released at the AI
for Good Summit 2025.

Acknowledgment

We acknowledge the support and are very grateful for the encouragement provided by the
Kingdom of Saudi Arabia during this project.

We acknowledge also the work done by ITU Focus Group on Artificial Intelligence (AI) and
Internet of Things (IoT) for Digital Agriculture (FG-AI4A) [96] and the use cases published by
ITU AI for Good Innovate for Impact study [70].

We also acknowledge the efforts of the UN Interagency Working Group on AI, co-chaired by
ITU and UNESCO, in facilitating coordination with other UN agencies that have complementary
initiatives.

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