Amplifiers

UNITAR’s UNOSAT FloodAI ingests Sentinel-1 radar and deep-learning models to map inundation in cloud-covered disaster zones, guiding governments and agencies in real time from Myanmar to Nepal.

Global Fishing Watch uses deep-learning models on Sentinel imagery to reveal three times more “dark” vessels and offshore infrastructure, arming nations with evidence to curb illegal fishing and forced labor at sea.

DataKind brings together volunteer data scientists and AI experts to work pro bono with nonprofits on projects like homelessness prediction, disaster relief optimization, and public health planning.

Operation Serenata de Amor (Serenade of Love) is a crowdfunded initiative in Brazil which uses an AI tool Rosie the Robô to audit public spending including expenses submitted by members of Congress & Senate, flagging anomalous or questionable parliamentary expenses.

Generative AI enables more transparent, inclusive digital participation and robust policy debate tools.

AI-assisted tools map roads and routes fast during disasters for relief logistics.

AI and computer vision pilot projects enhance urban mobility and safety, prioritizing equity and inclusive urban design.

Prairie Hills Transit, in partnership with CTAA, leverages an AI-based dispatch system called DISPATCH360 to optimize paratransit operations by dynamically routing rides in real-time, significantly improving efficiency and rider experience in rural South Dakota.

Wadhwani AI is working to detect water contamination risks, patterns, and waterborne outbreaks, fueling smarter interventions in underserved regions.

AI-powered monitoring by organizations like Safe Water Network tracks water quality and pump functionality, ensuring safe drinking water in underserved communities.

Description: Digital Green deploys AI-powered agricultural assistants to support farmers and government agents, providing tailored advice and rapid response to crisis events such as droughts and pest outbreaks.

Ushahidi employs machine learning to sift through crowdsourced reports - via SMS, social media, and email - during natural disasters and elections, mapping threats and needs to aid relief efforts. Their open source platform is freely available for any crisis.

AI analyzes disaster-area imagery and poverty data to prioritize aid and send cash within days to hardest-hit households.

World Food Programme Innovation’s SKAI uses machine-learning to automatically assess building damage from satellite images in near real time, guiding aid distribution and rebuilding priorities after earthquakes, floods, and conflicts.

Heifer International partners with FruitPunch AI to equip rural women farmers in Nepal with AI tools for analyzing and using their cooperative’s data, improving market access, financing, and agricultural planning.

Opportunity International’s FarmerAI is a mobile chatbot that provides smallholder farmers with instant, localized agricultural advice - for example, helping a Kenyan maize farmer identify and treat crop disease early to protect his yield.

The University of Houston is developing an AI-based platform to coordinate food charity operations, optimize food distribution, and provide culturally tailored, nutritious meals for food-insecure communities.

PlantVillage, a nonprofit initiative from Penn State University, uses AI and smartphone images to diagnose crop diseases, helping smallholder farmers protect their harvests. This tech improves food security by reducing losses in vulnerable communities.

Khan Academy uses Khanmigo using open-source machine learning algorithms to personalize learning paths, quiz difficulty, and instructional hints across math, science, and humanities completely free to students worldwide.

AI transforms complex STEM materials into interactive, accessible content for neurodivergent and visually impaired students.

DLearners’ AI-powered platform delivers personalized reading and writing support for students with dyslexia—especially in India’s underserved communities.

The Dytective app uses machine learning and linguistics to screen for dyslexia and build custom interventions for children, winning a UNESCO ICT Prize.

AI models systematically track and flag anti-democratic legislation and policies that threaten civil and human rights across the US, empowering advocates and experts.

Open-source AI tools enhance how over 400 NGOs analyze and act on human rights data, improving speed, accuracy, and ethical documentation for justice campaigns.

Mercy Corps collaborates on various humanitarian AI initiatives, deploying AI-powered decision tools to improve crisis response, humanitarian aid delivery, and resilience

Non-profit AI lab develops tools to help immigrants and advocates navigate legal systems and improve access to justice.

Google’s Project Euphonia uses deep learning to train speech-recognition models on voices affected by ALS, stroke, or cerebral palsy, improving voice-assistant accuracy for people with speech impairments.

AI analyzes large-scale public dialogues, amplifying voices of disabled communities in African social policy decisions.

Microsoft’s Seeing AI app and captioning tools enhance accessibility for visually and hearing-impaired individuals, promoting independence.

I-Stem uses personalized AI-driven career coaching and accessible audio learning empower disabled people to overcome barriers in education and employment.

Climate TRACE uses satellite imagery and machine learning models to independently estimate greenhouse gas emissions from power plants, oil fields, and other sources, creating the world’s first open, near real time global emissions database. Policymakers and NGOs leverage these insights to hold major emitters accountable.

AI2’s Skylight platform uses open-source computer vision and satellite data to detect dark vessels and illicit fishing activities in coastal waters, instantly alerting local enforcement.

Earth Species Project applies deep learning to decode sperm whale vocal patterns, aiming to facilitate rudimentary interspecies communication and advance marine conservation.

PAWS (Protection Assistant for Wildlife Security) uses machine learning and game theory to help rangers anticipate and prevent poaching.

A machine learning model pinpoints future deforestation hotspots in the Democratic Republic of Congo, aiding better conservation decisions.

With the Kenyan Red Cross, Microsoft helped develop an Azure AI-powered chatbot for free, confidential mental health support, reaching individuals who would not otherwise access care due to stigma or distance.

Parkland Center for Clinical Innovation (PCCI) uses AI-driven predictive models and social determinants of health analytics to assess community vulnerability, stratify risk, and enable effective referrals—improving outcomes for marginalized populations in Dallas and beyond.

BlueDot’s digital early-warning system uses natural language processing and flight-data analytics to flag emerging disease clusters, having detected COVID-19 nearly a week before WHO alerts.

Google uses AI-powered retinal imaging to detect diabetic retinopathy, enabling early identification of eye disease and preventing blindness in people with diabetes by supporting large-scale screenings in underserved regions like India and Thailand.