AI & Environment Resource HubAI Resilience Report · Publication date unknown
A free interactive tool that rates the AI resilience of over 1,597 U.S. occupations, classifying each as 'Changing Fast' (0–30%), 'Evolving' (30–70%), or 'Stable' (70–100%). Scores are generated by combining data from the Bureau of Labor Statistics, Anthropic, Microsoft, and Will Robots Take My Job. Users can search any occupation to understand how AI may affect their career trajectory.
AI Resilience Report. Date unknown. AI Resilience Report. https://www.airesilience.org/ (AI & Environment Resource Hub; record atlas-53560182dc43; collection snapshot 2026-09-15).
Included in the original Tool collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
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Shared topics: Governance and society; Research tools and geospatial methods; Weather, hazards, and adaptation
AI Quests is a game-based learning experience designed to teach middle school students (ages 11-14) about AI. Through a series of interactive, code-free quests, students will learn what it takes to responsibly build AI applications that address real-world societal challenges. The quests are inspired by actual AI projects led by Google Research. In 2025, we'll launch our first three AI Quests: Predicting Floods, Preventing Sight Loss, Mapping the Human Brain.
Shared topics: Governance and society; Research tools and geospatial methods; Weather, hazards, and adaptation
The paper introduces Global MetNet, a global machine learning model for real-time precipitation nowcasting that predicts rainfall up to 12 hours ahead using satellite and global weather data rather than radar. Operating at high spatial (∼5 km) and temporal (15-minute) resolution, it significantly outperforms traditional numerical weather prediction models—especially in data-sparse regions of the Global South—offering rapid, accurate, and equitable forecasts already deployed to millions of users via Google Search.
Shared topics: Governance and society; Education and skills; Weather, hazards, and adaptation
Using natural language processing and interviews, this study finds that vague definitions and geographic inaccessibility of green jobs in Worcester, MA hinder the development of a climate-ready workforce and the implementation of local climate adaptation plans.
Shared topics: Governance and society; Education and skills; Weather, hazards, and adaptation
There is a growing need to prepare students to address complex environmental challenges, particularly climate change and the expanding role of artificial intelligence (AI). This article examines the adaptation of the Artificial Intelligence for Social Good (AI4SG) Ideation module, a pitch- and project-based teaching framework designed to integrate AI literacy and sustainability education.