I bridge the gap between AI engineering and legal frameworks. My work focuses on building socio-technical systems that make Responsible AI a practical reality.
- Embedded-NeuroEthics: An open-source framework translating high-level NeuroRights into quality metrics. Explore the Toolkit.
- AI Governance Toolkit: A comprehensive open-source collection of practical tools and methodologies designed to operationalize Responsible AI governance. Explore the Toolkit.
- AI System Classifier: logic tree for AI system classification under the EU AI Act. Access tool.
- AI Role Navigator: Interactive assessor for determining legal operator roles and obligations. Run Navigator.
- AI Risk Calculator: Risk-scoring engine based on EDPB guidelines for DPOs and Researchers. Run calculator.
- Balanced AI Governance: a socio-technical model to balance AI Risk vs. Quality. Explore the interactive model.
Academic & Research
- Designed and led the academic program 'Law. Data. AI' and the professional course 'AI Governance: regulation and compliance'.
Tech Stack & Frameworks
- Modeling: Python, Pandas, Plotly, Streamlit
- Governance: NIST AI RMF, ISO/IEC 42001, EU AI Act