Principles to Standardize Performance Metrics: the Missing Element in AI Systems Applied to Patents

Patents are complex objects immersed in an ever-evolving judicial environment. They represent high strategic stakes for companies such as increasing the ROI of R&D or entering new markets.

It is only natural that Artificial Intelligence (AI) is tackling this challenge. A variety of players (such as universities, start-ups, but also in-house teams, incumbents, and AI behemoths) are applying Machine Learning (ML) techniques to complex patent-related problems such as:

Drafting patents,

Identifying validity concerns,

Assessing essentiality to standard specifications,

Infringement, assessing patent value…not to mention inventing

Each of those matters has multi-billion dollar implications.

Read the full article at the link below.