AI Safety AI Governance Privacy & Data Protection Compliance FastAPI Streamlit

Implementation Guidelines for Developing Corporate AI Safety, Governance, and Regulatory Compliance Policies

Posted on September 07, 2025 at 05:40 PM

Corporate AI Safety, Governance & Regulatory Compliance Policies

1. AI Safety Policies

(Mostly internal corporate best practices — no single law, but based on global standards)

2. AI Governance Policies

3. Regulatory & Legal Compliance

Privacy & Data Protection

AI-Specific Regulations & Standards

Sector-Specific Rules

4. A simple demo system: backend (FastAPI) + frontend (Streamlit)

1. System Architecture

Input Layer

  • Documents, data, or AI models under review.
  • Company policies, regulatory requirements (GDPR, EU AI Act, ISO standards, etc.) stored as structured rules.

Compliance Engine (LLM-powered)

  • Runs on Ollama local LLM for privacy & control.
  • Uses policy-check prompts to test data/models against rules.
  • Includes safety evaluators (bias, toxicity, explainability).

Governance Layer

  • Rule Database: Codified policies/regulations (JSON or YAML).
  • Audit Log: Records decisions, model outputs, and risk flags.
  • Approval Workflow: Escalates high-risk cases to human reviewer.

Output Layer

  • Compliance report (pass/fail, risk levels, explanations).
  • Dashboard with metrics: bias detection, safety scores, compliance coverage.
  • Action recommendations (mitigation, retraining, legal approval).

2. Core Functions

  • Policy Mapping:

    • Example: Map “EU AI Act High-Risk” → LLM checks training data, intended use, documentation.

  • Risk Assessment:

    • Automated tests for robustness, hallucination, bias.

  • Explainability Checker:

    • Forces model to provide reasoning → ensures transparency.

  • Data Privacy Guard:

    • Detects personal data leakage, enforces anonymization.

  • Audit & Traceability:

    • Every compliance check logged for regulators.

3. Github repo

  • A simple demo system is implemented, Demo of AI safety goverance and regulation. It is just a simple try, not yet product ready. There are much a lot of efforts to build a product ready system.

  • Safey, goverance and regulation is highly related to industry, sector, and corporate internal requirements (internal rule book and knowledge, integration with processing floow). But leveraging latest AI capability, we can build a solution to solve the problem.

  • I’d love to understand your business challenges and provide a tailored solution. Reach me at goseng123@gmail.com.

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