DMI's ASIP — AI-Generated Sea-Ice Charts Quadruple Coverage of Greenland's Coastal Waters
Greenland
DMI's ASIP uses a convolutional neural network fusing Sentinel-1 radar and AMSR2 microwave data to generate Greenland coastal sea-ice charts, …
United States of America · Pittsburgh · See the United States of America profile · See the Pittsburgh profile
Evidence: Observational / pre–post Top 32% 67/100 · Ask Evidence Copilot about this practice
Since 2016 Allegheny County has used a predictive risk model to support child-maltreatment call screening. Evaluations found it narrowed racial gaps in investigation rates, but independent studies also flag bias — a transparent, contested case.
The Allegheny Family Screening Tool (AFST) helps call-screening staff in Allegheny County's child-protective services by integrating hundreds of administrative data elements into a 'Family Screening Score' predicting future child-welfare involvement. It has been in use since 2016.
Official evaluations found the tool decreased investigations of low-risk referrals, increased them for high-risk referrals, and reduced the racial gap in investigation rates without raising worker burden. Independent research has separately flagged racial bias in the tool's predicted decisions, which workers partly corrected by overriding the tool.
AFST is notable for being unusually transparent and externally evaluated, while remaining genuinely contested — a realistic picture of predictive risk models in high-stakes social services.
Implementation detail (cost, timeline, staffing, conditions for success) is not yet available for this practice.
National / regional programmes
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Where this practice's information was retrieved from, and when.
Greenland
DMI's ASIP uses a convolutional neural network fusing Sentinel-1 radar and AMSR2 microwave data to generate Greenland coastal sea-ice charts, …
Singapore
Singapore's National Environment Agency runs a peer-reviewed machine-learning system that forecasts dengue cases up to three months ahead. In the …
Bangladesh
Bangladesh's a2i, GiveDirectly, UNDP and UC Berkeley piloted ML poverty-targeting from call-detail records across 106,200 Cox's Bazar households, but a …
Algeria
Algeria's Ministry of Higher Education used an AI matching platform nationwide for the first time in 2025, placing 97.34% of …
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