Executive summary: The author presents an open-access global AI dataset aggregating multiple major AI indicators and outlines plans to extend it into country-level AI safety and existential risk indices, with public dissemination via an interactive dashboard.
Key points:
The author has released Wave 1 (Version 1) of the Global Artificial Intelligence Indicator Database (GAID), covering 214 countries from 1998–2025 with over 2.3 million data points, hosted on Harvard Dataverse.
The current dataset compiles public data from Stanford’s AI Index, GIRAI, and OECD.ai across domains including governance, R&D, education, diversity, and responsible AI.
The author is developing Wave 1 (Version 2) by integrating data from eight additional sources such as UNESCO, WIPO, Epoch AI, MacroPolo, and the World Bank, with release expected by late January 2026.
Beyond AI societal impacts, the author plans to construct composite national indices related to AI safety and x-risk, drawing on governance, transparency, compute control, and ethics data already in the dataset.
Proposed indices include concepts like an Alignment Preparedness Index, a Black-Box Concentration Index, and a Proliferation Risk Index, described as early and exploratory ideas.
The author intends to publish the indices and dataset through an interactive public dashboard on their AI in Society web app by mid-February 2026, subject to availability.
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Executive summary: The author presents an open-access global AI dataset aggregating multiple major AI indicators and outlines plans to extend it into country-level AI safety and existential risk indices, with public dissemination via an interactive dashboard.
Key points:
The author has released Wave 1 (Version 1) of the Global Artificial Intelligence Indicator Database (GAID), covering 214 countries from 1998–2025 with over 2.3 million data points, hosted on Harvard Dataverse.
The current dataset compiles public data from Stanford’s AI Index, GIRAI, and OECD.ai across domains including governance, R&D, education, diversity, and responsible AI.
The author is developing Wave 1 (Version 2) by integrating data from eight additional sources such as UNESCO, WIPO, Epoch AI, MacroPolo, and the World Bank, with release expected by late January 2026.
Beyond AI societal impacts, the author plans to construct composite national indices related to AI safety and x-risk, drawing on governance, transparency, compute control, and ethics data already in the dataset.
Proposed indices include concepts like an Alignment Preparedness Index, a Black-Box Concentration Index, and a Proliferation Risk Index, described as early and exploratory ideas.
The author intends to publish the indices and dataset through an interactive public dashboard on their AI in Society web app by mid-February 2026, subject to availability.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.