# What is Alignment? Definition & Technical Mechanics

> **Source:** [SPIDITS AI AI Glossary](https://spidits.com/ai-glossary)  
> **Category:** Alignment & Safety  
> **Canonical Citation:** [https://spidits.com/ai-glossary/alignment](https://spidits.com/ai-glossary/alignment)

## Definition
Alignment refers to the process of guiding an AI model's behaviors, responses, and values to match human intents, safety principles, and ethical standards. Unaligned models might generate toxic text, assist in harmful activities, or refuse user inputs.

## Architectural Mechanics & Deep Dive
Alignment is the process of steering artificial intelligence models to ensure their goals, behaviors, and outputs match human values, ethical principles, and designer intent. Misaligned models may output toxic content, hallucinate falsehoods, or optimize for unintended shortcuts (reward hacking). Techniques like Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and Direct Preference Optimization (DPO) are standard methods used to align raw foundation models into helpful, safe assistants.

## Industry Applications & Real-World Use Cases
Safety filtering, toxic text reduction, and brand protection

## Frequently Asked Questions

### How is alignment achieved in LLMs?
Typically through RLHF (Reinforcement Learning from Human Feedback), DPO (Direct Preference Optimization), or supervised instruction tuning.

### Can alignment be bypassed?
Yes, adversarial prompts or jailbreak patterns can exploit vulnerabilities to bypass aligned safety limits.

## Related Terminology
- [rlhf](https://spidits.com/ai-glossary/rlhf)
- [ai-safety](https://spidits.com/ai-glossary/ai-safety)
- [guardrails](https://spidits.com/ai-glossary/guardrails)

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*From the SPIDITS AI Knowledge Base (336+ terms indexed). Explore full technical definitions: [https://spidits.com/ai-glossary](https://spidits.com/ai-glossary)*