Exploring solutions to global challenges through transparent, equitable technological projects.
Applying federated learning to improve medical diagnostics in low-resource communities without compromising patient privacy.
Building open-source tools that audit AI systems for bias detection, transparency requirements, and ethical alignment validation.
Developing high-resolution climate prediction models to guide adaptation strategies in 120 vulnerable regions worldwide.
Every project begins with on-the-ground stakeholder research. Local communities co-design both the technical approach and ethical boundaries.
We publish progress reports every 8 weeks at https://github.com/lambda-thetaa with clear documentation of ethical tradeoffs.
Deployed explainable AI models for tuberculosis detection that achieved 94% local clinician acceptance rates through transparent co-design.
Created open-source climate modeling tools adopted by 37 UN agencies to inform coastal protection decisions in 22 low-lying island nations.
Want to collaborate? We're always looking for partners committed to ethical innovation and social good.
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