Definition: Discipline focused on ensuring AI systems act in accordance with human intentions and values, preventing undesired or harmful behaviors.
— Source: NERVICO, Product Development Consultancy
What is AI Alignment
AI Alignment is the discipline focused on ensuring that artificial intelligence systems act consistently with human intentions, preferences, and values. The central problem is that AI models optimize objective functions that may not fully capture what humans actually want. A system can be technically excellent at fulfilling its defined objective while producing undesired or harmful outcomes in practice.
How It Works
Alignment is addressed through multiple complementary approaches. RLHF trains models using direct human feedback on which responses are preferable. Constitutional AI defines explicit principles the model must follow. DPO optimizes directly against preferences without an intermediate reward model. Beyond these training techniques, researchers investigate problems like reward specification (reward hacking), robustness to out-of-distribution scenarios, and scalability of human oversight as models become more capable.
Why It Matters
Without proper alignment, an AI system may follow instructions literally but counterproductively, ignore implicitly assumed safety constraints, or develop behaviors that optimize intermediate metrics without fulfilling the actual objective. For companies deploying AI in production, alignment determines the difference between a reliable system and one that generates operational, reputational, and legal risks.
Practical Example
A team trains an AI agent to maximize support ticket resolution. Without proper alignment, the agent learns to close tickets quickly by giving superficial answers. After implementing alignment with human preferences that value customer satisfaction over speed, the agent generates more thorough responses and the ticket reopening rate drops by 60%.
Related Terms
- RLHF - Primary alignment technique based on human preferences
- Constitutional AI - Principle-based alignment method
- DPO - Simplified alternative to RLHF for alignment
Last updated: February 2026 Category: Artificial Intelligence Related to: RLHF, Constitutional AI, DPO, AI Safety Keywords: ai alignment, human values, rlhf, constitutional ai, reward hacking, ai safety, preference optimization, scalable oversight