Semjanow offers four tips to navigate this process, emphasizing the importance of due diligence at every step. He advises conducting meticulous research before filing a provisional patent and repeating the process before submitting the main patent application. He also suggests engaging in honest conversations with patent examiners and incorporating their suggestions if a patent gets rejected.
Key takeaways:
- Patenting in the field of AI is challenging due to the complexities of the technology and the fact that code and mathematical algorithms are not patentable in many jurisdictions.
- Two potential risks in patenting include ending up with a vague patent that doesn't provide complete protection, and encountering similar patents that could lead to your patent being rejected.
- Before filing a provisional patent, it's crucial to conduct thorough research to check for similar patents. This process should be repeated before submitting the main patent application.
- If a patent gets rejected, it's important to connect with the relevant examiner, incorporate their suggestions, and conduct another patent search. This could make the difference between having to repeat the process and getting approval.