An educational and ethical AI research repository by Tawana Mohammadi (توانا محمدی).
🧠 Tawana Mohammadi | توانا محمدی
AI Researcher • Data Strategist • Educator
🌍 Ethical AI | Data Transparency | Human-Centered Technology
🎯 Overview
This repository represents part of my ongoing research and writing work as Tawana Mohammadi (توانا محمدی) — an AI Researcher and Educator working at the intersection of ethics, intelligence, and data strategy.
My goal is to make artificial intelligence transparent, inclusive, and educational, transforming AI from a black box into a bridge between technology and humanity.
“AI should remain transparent, inclusive, and grounded in empathy.”
🔬 Research Focus
- Ethical AI Systems – Developing frameworks for responsible model design and deployment.
- Prompt Engineering Education – Building educational tools for transparent prompt design.
- Data Strategy & Governance – Creating ethical foundations for data-driven systems.
- AI Literacy – Promoting awareness and accessibility of AI education.
Each model, dataset, and space here contributes to this mission — to empower ethical, open, and explainable intelligence.
📚 Current Projects
1️⃣ PromptCraft Framework
🧭 A modular educational toolkit for transparent prompt engineering and responsible AI design.
Includes examples, templates, and guidelines for interpretability and fairness.
2️⃣ AI Transparency Docs
📑 Templates and policy structures for building transparent AI systems.
Inspired by governance best practices and data ethics standards.
3️⃣ PanbehNet AI Portal
🌐 A data transparency experiment for public AI literacy in Farsi and English.
Demonstrates explainable models for education and analysis.
🧮 Technical Stack
| Layer | Technologies |
|---|---|
| Core | Python • PyTorch • TensorFlow • Pandas • NumPy |
| Ethical Modeling | SHAP • LIME • Explainable AI Toolkits |
| Interface | Gradio • Streamlit • Hugging Face Spaces |
| Visualization | Matplotlib • Seaborn • Plotly |
| Documentation | Markdown • YAML • JSON Schema |
🧭 Methodology
- Transparency-First Design: Every experiment includes ethical notes and interpretability goals.
- Human-Centered Evaluation: Metrics include qualitative assessment of AI fairness.
- Open Collaboration: All datasets and models are open-source and educationally oriented.
- Cross-Cultural AI Research: Emphasis on multilingual inclusivity and accessibility.
📈 Publications & References
- Ethical Data Strategy in the Age of Generative AI — forthcoming whitepaper, 2025.
- Transparent Prompt Engineering for Responsible Systems — educational series, Medium.
- AI Governance & Literacy in Emerging Contexts — ongoing research series.
📘 Google Scholar – Tawana Mohammadi
🪪 ORCID Profile
🌐 Ethical AI Vision
The future of AI is not about automation — it’s about augmentation, understanding, and accountability.
Every dataset, model, and notebook should tell a story about human values and shared intelligence.
“Where ethics meets intelligence, innovation becomes empathy.”
My research explores how education and design can bring that principle to life.
🧩 Connect with Me
🔗 Website – tawana.online
🔗 GitHub – Open Projects
🔗 Kaggle – Data Ethics Notebooks
🔗 Medium – AI Transparency Essays
🔗 Substack – Research Letters
🔗 LinkedIn – Professional Network
🔗 Reddit – Community Dialogues
✉️ [email protected]
🪶 Signature
Tawana Mohammadi | توانا محمدی
AI Researcher • Data Strategist • Educator
Last updated: October 2025