Responsible AI Engineering
Build a deployable AI audit toolkit — bias detection, explainability, privacy, and governance in one pipeline
7 phases. 31 lessons. 31 labs. 1 capstone project. You build a complete Responsible AI audit toolkit from scratch: bias detection with Fairlearn and AIF360, LLM-specific RAI (hallucination detection, toxicity filtering, RLHF alignment evaluation, representational harm, RAI red teaming), explainability with SHAP and LIME, model cards and transparency reports, privacy assessment with differential privacy and federated learning, governance with algorithmic impact assessments and EU AI Act risk clas
- Lessons: —
- Labs: —
- Projects: —
- Level: Intermediate
Curriculum
- When AI Harms — Foundations of Responsible AI — AI incidents, NIST AI RMF, EU AI Act, ISO 42001, trustworthy AI characteristics, RAI engineer role
- Bias Detection & Fairness Metrics — Sources of bias, fairness metrics, Fairlearn, AIF360, bias mitigation (pre/in/post-processing)
- LLM-Specific Responsible AI — Hallucination detection & grounding verification, toxicity & harmful content filtering, RLHF alignment evaluation (sycophancy, over-refusal, reward hacking), representational harm in generated text, RAI red teaming for ethical failures
- Explainability & Transparency — Black box problem, SHAP, LIME, model cards, transparency report generation
- Privacy-Preserving AI — Membership inference attacks, differential privacy, federated learning, privacy impact assessment
- AI Impact Assessment & Governance — Algorithmic impact assessment, EU AI Act risk classification, risk registers, incident response, post-deployment monitoring
- Capstone — Ship a Responsible AI Audit Pipeline — Toolkit integration, end-to-end audit execution, deployment packaging
Skills You Will Learn
- Bias Detection (Fairlearn/AIF360)
- LLM Hallucination Detection
- Toxicity Filtering
- RLHF Alignment Evaluation
- Representational Harm Analysis
- RAI Red Teaming
- Explainability (SHAP/LIME)
- Model Cards & Transparency Reports
- Differential Privacy
- NIST AI RMF
- EU AI Act Compliance
- Algorithmic Impact Assessment
- AI Risk Management
- Post-Deployment Monitoring
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