CPC G16H 30/20 (2018.01) [G06F 16/2379 (2019.01); G06F 18/214 (2023.01); G06N 3/084 (2013.01); G06V 30/19147 (2022.01); G06V 30/19173 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01)] | 20 Claims |
15. A system comprising:
memory with instructions encoded thereon; and
one or more processors that, when executing the instructions, are caused to perform operations comprising:
registering a plurality of training images on a distributed ledger, each training image labeled with truth data;
training a machine learning model using the plurality of training images, wherein, as the machine learning model is trained, each of a plurality of modifications of the machine learning model that are attributable to a given training image are recorded as microtransactions to the distributed ledger in association with the given training image; and
registering each respective modification of the plurality of modifications made to the machine learning model on the distributed ledger and attributing the respective modification to the training image that resulted in the modification, wherein, as the machine learning model is used to form predictions, attribution of those predictions is assigned to one or more of the plurality of training images according to the registered modifications.
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