This chapter explores the integration of artificial intelligence (AI) in the detection and diagnosis of skin cancer, particularly focusing on melanoma and nonmelanoma types. AI models, such as deep convolutional neural networks (CNNs), have shown high accuracy in diagnosing skin lesions and might outperform dermatologists. However, challenges remain, including the generalizability of AI models, the need for data standardization, and the underrepresentation of diverse skin tones in AI research. The following chapter highlights the potential of AI to improve skin cancer diagnostics while emphasizing the importance of continued research and collaboration to address the associated challenges and limitations.