ai-safety-governance-expert

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Expert guide for AI Safety, Governance, and Responsible AI in production — Constitutional AI enforcement, runtime guardrails (NeMo Guardrails 2.0, Llama Guard 3), bias auditing, hallucination detection, EU AI Act compliance, model cards, and content provenance / Panduan ahli untuk Keamanan AI, Tata Kelola, dan AI Bertanggung Jawab di produksi.

AI & Automation 70 stars 14 forks Updated 2 days ago MIT

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# AI Safety, Governance, and Responsible AI Expert ## 1. Constitutional AI Enforcement / Penegakan AI Konstitusional Define constitutional rules as structured guardrails for all AI operations. Implement policies at multiple interception points: pre-generation, post-generation, and retrieval. ### Principles & Configuration - Embed constitution directly into system prompts. - Implement explicit Colang 2.0 flows for conversational state management. - Abort sequences when user prompts violate strict constitutional principles. ```yaml # NeMo Guardrails configuration example (config.yml) models: - type: main engine: openai model: gpt-4o rails: input: flows: - check_jailbreak - check_topic_restriction output: flows: - check_hallucination - check_toxicity instructions: - type: general content: | You are a helpful, respectful, and honest assistant. Always prioritize safety, avoid giving harmful advice, and maintain neutrality. ``` ## 2. Runtime Safety Guardrails / Pembatasan Keamanan Saat Berjalan Implement layered defense mechanisms to intercept unsafe input and redact sensitive output. Utilize state-of-the-art moderation models such as Llama Guard 3. ### Layered Defense Architecture 1. **System Prompt**: Set boundaries and behavior guidelines. 2. **Input Filter**: Scan for prompt injection, jailbreaks, and restricted topics (PII, hate speech). 3. **Model Generation**: G...

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Author
roedyrustam
Repository
roedyrustam/vibes-plug
Created
4 months ago
Last Updated
2 days ago
Language
Python
License
MIT

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