Earlier quoted context omitted.
Some aspects of patent administration are being assisted by machine learning, which might mean that statistically a few jobs have already been lost, maybe not examiners per se . I gather IPCCAT https://ipcpub.wipo.int/?notion=search&version=20220101&symb... , uses ML - and other offices have similar tools. UKIPO use AI for trademark searches and to streamline applications, eg https://ipo.blog.gov.uk/2020/10/29/introd…
The USPTO uses a lot of automation, but frequently not where they should. Note: I am a current USPTO patent examiner, and this is my opinion, not that of the USPTO or US govt. The USPTO apparently has two contractors to classify patent documents. I've heard that some sort of AI system is used for classification, in combination with a lot of poorly paid contractors. In my experience, the classification is so frequentl…
Could you elaborate on this? I'm still on the fence about even having independent dotfiles in a separate repo.
Perhaps it is different because it's governmental work, therefore for the public good?
If I may ask yet another question: if your tools make you more efficient, does that impact perception of other examiners' "KPI metrics?"
Automation is a sensitive topic at the best of times, so just trying to learn some context from different fields. Thank-you.