US 12,277,507 B2
Factchecking artificial intelligence models using blockchain
Srikanth Govindaraj Tamilselvam, Chennai (IN); Sai Koti Reddy Danda, Narasaraopet (IN); Senthil Kumar Kumarasamy Mani, Bangalore (IN); Kalapriya Kannan, Bangalore (IN); and Sameep Mehta, Bangalore (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Jan. 22, 2021, as Appl. No. 17/155,342.
Prior Publication US 2022/0237477 A1, Jul. 28, 2022
Int. Cl. G06N 5/04 (2023.01); G06F 16/23 (2019.01); G06N 20/00 (2019.01)
CPC G06N 5/04 (2013.01) [G06F 16/2379 (2019.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, the method comprising:
obtaining at least one artificial intelligence model and at least one set of data related to the at least one artificial intelligence model;
determining a set of characteristics based at least in part on the at least one artificial intelligence model and the at least one set of data;
selecting one of a plurality of networks based at least in part on a target deployment of the at least one artificial intelligence model to verify the set of characteristics, wherein each of the plurality of networks is associated with a respective set of verification entities;
generating a report based at least in part on verifying the set of characteristics using the set of verification entities corresponding to the selected network, wherein the report establishes a threshold level of trust for the at least one artificial intelligence model; and
storing the report on a blockchain associated with the selected network;
wherein the method is carried out by at least one computing device.