One of the things on applicants’ minds when they are filing patents is whether the invention is detectable – after all, a patent is of limited use if you can’t show it has been infringed.
There seems to be a general assumption that machine learning (ML) models can’t be reverse engineered due to their black box nature, and that there is limited value in pursuing patents for “hidden AI”.
To get to the bottom of the detectability question, the authors sat down with Chris Whittleston, Delivery Lead at Faculty, one of the UK’s well-known AI companies, for an informal chat about reverse engineering.
Read the full article at the link below.
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