AI Safety & Alignment Methods
Techniques for reducing harmful behavior, improving controllability, evaluating misuse risks, and aligning models with human intent.
Core metadata
- ID: ai_safety_alignment_methods
- Era: Modern
- First known date: 2020 (decade)
- Region: Global / multiple regions
- Review status: source_checked
- Maturity: emerging
Prerequisites
- Security Operations Centers (cybersecurity_operations_centers)
- Instruction Tuning & RLHF (instruction_tuning_rlhf)
- Model Evaluation Benchmarks (model_evaluation_benchmarks)
Dependents
- Advanced AI Systems (advanced_ai)
- Autonomous AI Agent Workflows (autonomous_ai_agent_workflows)
- Robust Explainable AI (XAI) (explainable_ai_xai)
Fields
Field lanes
- Artificial Intelligence & Machine Learning: Safety & Governance
Node sources
- Aligning Language Models to Follow Instructions (OpenAI, 2022, generic_overview) • Supports: node, maturity
- Constitutional AI: Harmlessness from AI Feedback (Anthropic, 2022, generic_overview) • Supports: node, maturity
- Artificial Intelligence Risk Management Framework (AI RMF 1.0) (NIST, 2023, official_agency) • Supports: node, maturity
Prerequisite edge evidence
Edge/source evidence summary:
- Prerequisite edges: 3
- Average edge confidence: 68%
- Prerequisite sources: 3
- expert_inference: 3
| Prerequisite | Type | Confidence | Evidence level | Note | Sources |
|---|---|---|---|---|---|
| Instruction Tuning & RLHF (instruction_tuning_rlhf) | enabling | 68% | expert_inference | Instruction Tuning & RLHF provides a capability that enables this technology without being the only possible path. |
|
| Model Evaluation Benchmarks (model_evaluation_benchmarks) | enabling | 68% | expert_inference | Model Evaluation Benchmarks provides a capability that enables this technology without being the only possible path. |
|
| Security Operations Centers (cybersecurity_operations_centers) | enabling | 68% | expert_inference | Security Operations Centers provides a capability that enables this technology without being the only possible path. |
|
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