AI safeguards are security and control measures implemented in
AI models to ensure their behavior is ethical, safe, and beneficial. They act as boundaries that prevent the system from generating harmful content or performing inappropriate actions.
These protective measures can include content filters, restrictions on sensitive topics, limits on the type of actions the system can perform, and ethical rules incorporated into its
training. For example, a typical safeguard prevents an AI from generating violent content or assisting in illegal activities.
Safeguards are implemented both during model
training and usage phase, and are constantly updated to adapt to new challenges and threats. Their goal is to find a balance between maintaining system utility and ensuring responsible use, although some people try to circumvent them using techniques like
jailbreaking.