Red teaming in AI refers to a practice where a team of experts, known as the "red team," actively tries to challenge and identify vulnerabilities in an AI system. This team mimics potential adversaries to test the system's robustness, security, and ethical implications. The goal is to find weaknesses and improve the system's reliability and safety before it is deployed in real-world scenarios.