The swift progress of Artificial Intelligence (AI) technology has resulted in profound alterations in diverse industries. With the continuous evolution of AI, the significance of patent protection for AI inventions is becoming increasingly important. This abstract examines the primary factors and difficulties associated with safeguarding patents in AI.Firstly, it explores the distinctive characteristics of AI ideas and the intricacies they pose in the patent application process. AI ideas typically incorporate algorithms, machine learning models, and data-driven techniques. Therefore, it is crucial to establish both an inventive step and a technical effect to determine their patent protection eligibility. In addition, the paper explores the potential challenges that may arise due to AI systems' ability to generate outputs that were not explicitly planned, which raises concerns about the attribution of invention and ownership.Moreover, the abstract analyses the changing legal environment and the global initiatives taken by patent offices to address the issues presented by AI technologies. This study investigates the different methods jurisdictions use to analyse patent applications relating to artificial intelligence (AI), including using AI to conduct prior art searches and evaluations.