Background: AI in dentistry is a revolutionary integration of artificial intelligence technologies into dental practice. AI aids in diagnosing oral diseases, treatment planning, and enhancing patient care. It streamlines workflow, improves accuracy, and empowers dentists to make informed decisions for optimal oral health outcomes. Objective: This study aimed to assess the attitudes and perceptions of dentists regarding the integration of artificial intelligence (AI) in dentistry, exploring their viewpoints, concerns, and expectations concerning its potential impact on clinical practices. Methods: A cross-sectional survey was conducted among practicing dentists across various regions. A structured questionnaire was developed, validated, and distributed electronically. The survey comprised questions designed to gauge dentists' familiarity with AI concepts, their current usage of technology in practice, and their attitudes toward AI integration. Likert-scale items were employed to assess dentists' perceptions of AI's potential benefits, drawbacks, and ethical considerations. Results: A total of 2000 participants responded to the survey. The respondents exhibited varying degrees of familiarity with AI, with the majority having a basic understanding of its principles. Dentists who were more technologically inclined tended to express more positive attitudes toward AI integration. Perceived benefits of AI implementation included enhanced diagnostic accuracy, improved treatment planning, and increased efficiency. Concerns centered around AI's potential to replace human decision-making, patient data security, and the steep learning curve associated with AI adoption. Conclusions: This study shed light on dentists' Knowledge, Attitudes and Perceptions regarding the integration of AI in dentistry. While many dentists recognize the potential benefits AI offers, there are also notable concerns about the ethical, practical, and professional implications of its widespread use. Dentists' level of familiarity with AI plays a significant role in shaping their attitudes, indicating a need for educational initiatives to bridge the knowledge gap and facilitate informed decision-making regarding AI integration.