Build confidence in your AI with systematic slice-based testing
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Updated
Jun 26, 2025 - Python
Build confidence in your AI with systematic slice-based testing
practical handbook and resources for establishing AI governance frameworks, covering ethics, risk, compliance, and maturity models. View live at: https://khullani.github.io/AI-Governance-Handbook/
CAIR4 Explorer Light is a modular, Streamlit-based framework for regulatory analysis of AI use cases, using advanced models like GPT-4, Claude, Groq, Gemini, and more. This lightweight edition includes a curated subset of the full CAIR4 library (80+ use cases), offering a fast and focused entry point. The default interface and content are in German
Proposed AI strategy for UNIQA focused on regulatory compliance, risk management, and ethical deployment under the AI Act
/a futuristic, Matrix-style website that visually and interactively presents the landscape of next-generation AI regulations, inspired by the EU AI Act (reference: https://artificialintelligenceact.eu/ai-act-explorer/).
Aspiring AI & Data Analyst | Focused on Chatbots, Prompt Engineering & AI Governance | Learning Python & Streamlit by building real projects
Legal analysis of liability challenges in AI under EU law (based on EC report)
Rule-based chatbot prototype exploring conversational AI through compliance-inspired prompts and ethical design logic.
This is my first repository @ Github! -> Core Net AB (Information Security, Privacy, Governance, Legal, Compliance, and Risk Management).
ai-praxis-tool
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