aaryansamanta/ai-ethos

What it solves

AI Ethos addresses the "AI education divide," where underserved communities—including low-income, rural, multilingual, and neurodiverse students—lack access to high-quality, culturally relevant, and ethical AI tutoring. It aims to prevent privileged learners from being the sole beneficiaries of AI edtech.

How it works

The project provides adaptive, Socratic, step-by-step AI tutoring that is designed to be privacy-first and bias-mitigated. To ensure accessibility and relevance, the system is built to be multilingual, culturally responsive, and capable of operating in low-connectivity settings. Content is co-created with local educators and communities to ensure trust and academic relevance.

Who it’s for

Underserved learners globally, specifically those in rural or low-income areas, students who speak native languages other than English, and neurodiverse learners.

Highlights

• Equity-Driven Design: Prioritizes learners typically left behind by mainstream AI education tools.
• Multilingual Support: Offers tutoring in native languages to reflect local contexts.
• Privacy-First: Student data is protected by ethical design and is never monetized.
• Adaptive Instruction: Uses a Socratic method to adapt to each learner's individual pace and needs.