Category:
Category:
Alignment
Category:
Core AI & Ethics
Definition
Ensuring AI systems act according to human values, safety goals, and organizational rules.
Explanation
Alignment ensures AI systems produce outputs consistent with human intentions, safety policies, and ethical guidelines. Alignment spans model-level (training), system-level (guardrails), and agent-level (policy enforcement). Enterprises rely on alignment to prevent harmful behavior and to ensure responsible AI deployment.
Technical Architecture
Pretraining → Instruction Tuning → Safety RL (RLAIF/RLHF) → Governance Layers → Deployment
Core Component
Values datasets, safety tuning, governance policies, monitoring tools
Use Cases
Enterprise copilots, decision-support systems, public-facing AI
Pitfalls
Over-alignment reduces usefulness; under-alignment increases risk
LLM Keywords
AI Alignment, RLHF, RLAIF, Ethical AI
Related Concepts
Related Frameworks
• Safety
• Guardrails
• Policy Enforcement
• Alignment Pipeline Blueprint