Awards

The newest cohort of the Mozilla Technology Fund will use open-source AI tools to track methane emissions, expose harmful mining operations, monitor air quality, and more.

Project Name | Awardee | Location

• AI-Driven Air Quality Forecasting for Asunción | Fernanda Carlés |Paraguay (website)
• AIG SMS for Environmental Justice among the Mau Indigenous Community | L. Lusike Mukhongo | U.S. and Kenya
• Amazon Mining Watch | Rainforest Investigations Network, the Earth Genome, and Amazon Conservation | U.S. (website)
• CodeCarbon | France (website)
• Estimating and Validating PM2.5 Levels Using Satellite and Ground Observations in Selected African Cities for Environmental Justice | AirQo | Uganda (website)
• Leveraging AI for Environmental Justice and Environmental Impact Assessment for Advocacy on Nuclear Energy and Policy | Center for Justice Governance & Environmental (ACTI) | Kenya
• MethaneMapper | EyeClimate | U.S. (website)
• Public Utility Data Liberation | the Catalyst Cooperative | U.S. (website)
• Zeus: Deep Learning Energy Measurement and Optimization | Jae-Won Chung | U.S. (website)

Doubling-down on our investments in the AI transparency space while leveraging the learnings and community of the Open Source Audit Tooling (OAT) Initiative, this cohort of the Mozilla Technology Fund is made up of eight projects focused on building tooling and resources to grow, support, and better coordinate the community of AI auditors.

Project Name | Awardee | Location

AI Forensics | Tracking Exposed | France (website)

AI Risk Checklists | Responsible AI Collaborative | U.S. (website)

Countering Tenant Screening | Wonyoung So | U.S. (website)

Crossover | Check First | Finland (website)

Evaluation Harness | Big Science | U.S. (website)

Gigbox | The Workers’ Algorithm Observatory (WAO) | U.S. (website)

Reward Reports | GEESE | U.S. (website)

Zeno | Carnegie Mellon University | U.S. (website)

The Mozilla Technology Fund’s first cohort focused on working to expose elements of how artificial intelligence (AI) systems work, in order to reduce bias in and increase the transparency of AI systems.

Project Name | Awardee | Location

Algowritten | Naromass | U.K. (website)

Fair EVA | Wiebke Toussaint | South Africa (website)

MAKHNO | Hermes Center, OONI and Tracking.Exposed | Italy/Multiple locations (website)

TheirTok | Tomo Kihara | Japan/Netherlands (website)

TikTok Observatory | Tracking.Exposed | Netherlands (website)