Artificial intelligence (AI) is transforming robotic surgery by enhancing intraoperative capabilities, improving surgical education, and addressing ethical concerns. This review highlights recent AI advancements in robotic surgery, focusing on intraoperative applications such as robotic autonomy, surgical assessment, and feedback. AI models enable real-time image enhancement, smoke removal, native tissue recognition, and instrument delineation, improving surgical precision and safety. AI also supports automated skills assessment and intraoperative feedback, aiding surgeon training. Additionally, AI is used for surgical workflow recognition, gesture recognition, and intraoperative assessment, providing objective metrics for evaluating surgical performance. These innovations enhance surgical outcomes and reduce the cognitive and physical workload on surgeons. However, the integration of AI in robotic surgery raises ethical questions, including data privacy, model transparency, bias, and accountability. The review emphasizes the need for ethical frameworks to guide AI implementation in surgery. As AI continues to evolve, it holds significant potential to revolutionize robotic surgery, making it safer and more efficient. The future of AI in robotic surgery is promising, with ongoing research and development expected to yield further advancements.Artificial intelligence (AI) is transforming robotic surgery by enhancing intraoperative capabilities, improving surgical education, and addressing ethical concerns. This review highlights recent AI advancements in robotic surgery, focusing on intraoperative applications such as robotic autonomy, surgical assessment, and feedback. AI models enable real-time image enhancement, smoke removal, native tissue recognition, and instrument delineation, improving surgical precision and safety. AI also supports automated skills assessment and intraoperative feedback, aiding surgeon training. Additionally, AI is used for surgical workflow recognition, gesture recognition, and intraoperative assessment, providing objective metrics for evaluating surgical performance. These innovations enhance surgical outcomes and reduce the cognitive and physical workload on surgeons. However, the integration of AI in robotic surgery raises ethical questions, including data privacy, model transparency, bias, and accountability. The review emphasizes the need for ethical frameworks to guide AI implementation in surgery. As AI continues to evolve, it holds significant potential to revolutionize robotic surgery, making it safer and more efficient. The future of AI in robotic surgery is promising, with ongoing research and development expected to yield further advancements.