Protecting AI Inventions: Patent Strategies for Data and I/O Improvements

In celebration of Small Business Month, the Vector Institute for Artificial Intelligence, in collaboration with Smart & Biggar LLP, released a guide exploring the intersection of artificial intelligence and intellectual property. Aimed at supporting Canadian startups and research professionals, the article emphasizes that patent protection extends beyond revolutionary ideas to include incremental improvements in AI methodologies. Key areas for potential patents include enhancements to training techniques, such as algorithms that accelerate convergence or reduce overfitting, and innovations in data handling. Specific examples include improved data formats like block floating-point, novel sourcing and labeling techniques, and data augmentation methods. Furthermore, the analysis highlights that even when using standard models, novelty can be found in how inputs are processed or encoded, and how outputs are post-processed and represented. The series underscores the importance of integrating IP strategy into business operations to secure competitive advantages in the rapidly evolving AI landscape, offering practical insights for inventors seeking to protect their technological advancements.