AI & ML interests

Explainable AI (XAI), Dataset Transparency, Algorithmic Fairness, Open Source Ethics, AI Governance, Data Privacy, Community-Driven Modeling, Responsible AI (RAI), and Social Impact ML.

Recent Activity

🌐 OpenEthos Research Collective

Advancing AI with Integrity, Transparency, and Community.

Welcome to the official home of OpenEthos. We are a research-driven collective dedicated to building AI that is explainable, ethical, and accessible to all.

🔬 Our Focus Areas

  • Explainable AI (XAI): Moving away from "black-box" models toward human-understandable logic.
  • Dataset Transparency: Rigorous auditing of training data for fairness and bias.
  • Community-Driven ML: Empowering global researchers with open-source frameworks.

🤝 Join the Movement

We believe the best AI is built in the open. Explore our GitHubFollow us for updates