AI Alignment

Definition

The challenge of ensuring AI systems behave in accordance with human intentions, values, and goals.

In-Depth Explanation

Alignment research aims to solve problems like specification (defining what we want), robustness (maintaining behavior under distribution shift), and assurance (verifying alignment). As AI systems become more capable, alignment becomes increasingly critical for safety.

Real-World Example

RLHF is one alignment technique used to make language models follow instructions helpfully and safely.

5 views0 found helpful

Related Terms

AI Safety

The field focused on preventing AI systems from causing unintended harm and ensuring they remain beneficial.

Reinforcement Learning from Human Feedback(RLHF)

A training technique that uses human preferences to fine-tune AI models to be more helpful, harmless, and honest.