AI Guardrails are predefined policies, rules, and mechanisms designed to ensure that artificial intelligence systems operate safely, ethically, and within intended boundaries. These measures help prevent undesired outcomes, such as bias, misuse, or harm, by actively guiding the AI’s behavior during training, deployment, and operation.

Key functions of AI Guardrails include:

• Safety Assurance: Mitigates risks like unsafe actions or decisions in critical applications, such as healthcare or autonomous driving.
• Bias Prevention: Ensures fairness by addressing discriminatory outputs or training data imbalances.
• Ethical Compliance: Aligns AI actions with societal, legal, and organizational values.
• Operational Constraints: Defines permissible tasks and outputs, keeping AI systems focused on desired objectives.

AI Guardrails are implemented through techniques like rule-based algorithms, real-time monitoring, and ethical oversight frameworks. They are critical in applications where accountability and trust are paramount, ensuring that AI systems remain reliable and aligned with human expectations.