The challenge of securing patents for artificial intelligence (AI) inventions under 35 USC § 101 often lies in overcoming rejections based on the claims being classified as “abstract ideas.” Recent developments suggest various strategies that can be employed to enhance the chances of patent approval, especially after the US Patent and Trademark Office (USPTO) released a guideline in July 2024.
- Demonstrating Integration: One effective strategy involves integrating the AI model into a practical application. As outlined in Example 47 of the USPTO’s July 2024 guidance, an AI model used for network intrusion detection successfully demonstrated real-world applicability by not only identifying but also blocking malicious traffic in real-time. This approach was also evidenced by the case of Ex Parte Jere Armas, where claims were initially rejected but later accepted upon appeal when framed as solutions to concrete, practical issues.
- Technical Improvements: Demonstrating specific technical advancements is another viable strategy. For instance, Example 48 highlights a deep neural network enhancing speech separation for transcription, improving clarity beyond existing methods. The success of Ex Parte Andrew B. Covit further underscores the efficacy of proving technical merit, where a system advanced medical coding by improving accuracy and efficiency.
- Performance of Tasks Impractical for Humans: While incorporating AI capabilities that handle large data sets or perform rapid processing beyond human abilities is a strategy explored by examiners, its success rate remains comparatively low. However, specifying hardware elements within the AI patent claims can strengthen the case for eligibility by tying abstract ideas to tangible technology.
Applicants responding to Section 101 rejections are encouraged to amend claims and focus on articulating integration into practical applications or showcasing specific technical improvements. The 2024 guidance provides a pathway for reinforcing AI claims’ validity, as the interpretation of Section 101 rejections continues to evolve alongside AI technology developments.