AI Glossary
AI Alignment
The effort to ensure AI systems behave in ways that reflect human goals, values, and intentions.
AI Alignment
Overview
As AI systems become more capable, an important question emerges:
How can we ensure these systems behave in ways that reflect human goals and values?
This challenge is known as AI alignment.
AI alignment focuses on making sure AI systems pursue intended objectives while avoiding behaviors that create unintended consequences. Even when an AI system is highly capable, it may not always interpret goals in the way humans expect.
A helpful way to think about alignment is giving instructions to a very intelligent assistant. If the instructions are unclear, the assistant may complete the task in a way that technically follows the instructions but fails to achieve the intended outcome.
Researchers, organizations, and policymakers increasingly view alignment as an important part of building trustworthy AI systems.
As AI becomes more integrated into society, alignment will likely remain a central topic in discussions about responsible AI.
Why It Matters
Alignment helps ensure AI systems behave in ways that reflect intended goals and values.
Real-World Example
An organization may test an AI system extensively to ensure it provides helpful responses without generating harmful recommendations.