The methodology of the Global Index focuses on the development of core indicators and the collection of primary data relating to country-level commitments and progress on responsible AI. This work is supported by an extensive secondary data review and analysis. Regional research hubs have been established to oversee country-based researchers around the world and ensure the quality of the data collected.
Surveys used for data collection are completed by independent researchers recruited at the country-level, and an additional questionnaire is completed by governments in order to provide further context and insight on work-in-progress related to responsible AI.
Global Research Network
Regional Research Hubs are being established to recruit and coordinate country-level researchers. The Hubs provide direct support for training, data collection, and the review of results. Hub leads also form an ongoing research network on responsible AI that supports post-study activities, including awareness raising, the dissemination of results, the development of regional reports and forums, and the identification of additional research needs and opportunities.
2021 - 2022
Designing the Index
Defining responsible AI principles & indicators
Participatory and inclusive design of a Responsible AI Index. An Expert Advisory Group has been established to oversee the scientific accuracy and global relevance of the Index.
2023 - 2024
Generating the Index
How is AI being implemented and used?
In-country research and data collection to generate the index. This phase will include development of a global report benchmarking responsible AI policy & practice.
2024 - 2025
Using the Index
Supporting responsible AI adoption
Working with regional hubs, CSOs, and governments to engage with the index and report findings. We will also look to support capacity building and adoption of principles in target areas.
The Global Index is being designed using a broad participatory approach to help maximise the application of results in support of responsible AI principles and practices.Participatearrow_forward_ios
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