AI Glossary
AI Safety
The field focused on reducing risks and unintended consequences associated with AI systems.
AI Safety
Overview
Every powerful technology introduces both opportunities and risks.
Artificial intelligence is no exception.
AI safety is the field focused on understanding, preventing, and reducing potential harms associated with AI systems. This includes technical risks, operational risks, societal risks, and unintended consequences.
A helpful way to think about AI safety is aviation safety. Air travel became widely trusted because industries invested heavily in testing, procedures, safeguards, and continuous improvement.
Similarly, AI safety focuses on creating systems that are reliable, predictable, and trustworthy.
As organizations increasingly deploy AI across business operations, safety considerations are becoming an important part of responsible adoption.
Why It Matters
AI safety helps reduce risks and improve trust in AI systems.
Real-World Example
A company may implement testing procedures and monitoring systems before deploying an AI application to customers.