Artificial intelligence (AI) is rapidly entering the dental field, with the potential to augment diagnosis and management. This chapter synthesizes current and emerging clinical applications of AI in dentistry and examines the ethical and practical challenges of adoption. Using a narrative review approach from an oral clinician’s perspective, we draw on reported uses across multiple dental specialties. A wide variety of emerging applications is described, including automated radiographic and histopathological interpretation, orthodontic treatment planning, and oral cancer detection and risk stratification. Reported benefits include improved diagnostic consistency, enhanced workflow efficiency, and potential improvements in access to care. However, major risks remain, including poor-quality or unrepresentative training data, algorithmic bias that may widen health inequalities, challenges to informed consent, unclear accountability and liability, and commercial conflicts of interest. Clinically safe implementation will require ethical-by-design development, diverse and high-quality datasets, transparent validation, ongoing auditing, and education that supports informed human oversight within a hybrid AI clinical model.