SYSTEMS AND METHODS FOR AI/MACHINE LEARNING-BASED BLOCKCHAIN VALIDATION AND REMEDIATION
Abstract:
A system described herein may utilize artificial intelligence/machine learning (“AI/ML”) or other suitable techniques to automatically identify blocks added to or proposed to be added to a blockchain, with conflicting and/or otherwise incompatible information, and to automatically remediate the blockchain based on the identified conflict and/or incompatibility. The model may associate different types of conflicts and/or incompatibilities with different types of remedial measures. The remedial measures may include the rejection of a proposed block, recording a new block that takes precedence or priority over a previously recorded block, or other suitable remedial measures.
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