Artificial intelligence (AI) is the simulation of human intelligence processes by computer systems. Machine learning (ML) is a subset of AI that involves the development of algorithms and statistical models that enable computer systems to improve their performance with experience automatically without being explicitly programmed. Machine learning enables computers to learn from data and use that learning to make predictions or take actions without being explicitly programmed to perform the task. In this panel, we would provide an overview of the current and potential use of AI technology in the field of Otolaryngology with a purpose to educate practitioners and researchers on the benefits and limitations of using AI in otolaryngology, such as improved diagnostic accuracy and increased efficiency, as well as potential ethical concerns. Attendees would be informed about the current state of AI in otolaryngology and to discuss the potential future developments and implications for the field.