A distributed ledger is a consensus of replicated, shared, and synchronized digital data geographically spread across multiple sites, countries, or institutions. Unlike with a distributed database, there is no central administrator
Human
intelligence is so remarkable because it’s collaborative. The
social reservoir of knowledge is a result of intelligence interacting
with other intelligence. Having barriers between two intelligent systems
slows down growth because it inhibits connections from taking place.
The more connections that happen, the more intelligent something can
become. The more intelligent an AI system becomes, the more value it
has.
Several concerns have been raised about using distributed ledgers within government:
- Who decides who the ledger should be shared with? When dealing with sensitive or confidential information, somebody needs to select people to share the ledger with to ensure information does not fall into the wrong hands. However, that person could select untrustworthy individuals, or otherwise use their power in a corrupt manner, negating the advantages of distributed ledgers over a central storage solution.
- It is impossible to retroactively change information. This makes the technology appealing to financial transactions where records should be historic, but this makes it unsuitable where information may need to be retroactively changed.
- It may be unsuitable for large numbers of users. Larger-scale use cases should be considered on their need for growth in the number of users and interactions, because right now these may lead to poor performance and significant energy use. But, technological solutions to these scaling issues are in development.
- It may disrupt established workflows. End-users will have different working behaviors, digital literacies, and attitudes to technology which must be factored in when considering distributed ledger use cases.
- It is not yet mainstream. Distributed ledger technology currently lacks established standards and legislation, its conformance to existing and emerging standards is unclear. For example, it is questionable whether a hash of personal information could constitute personal information under the GDPR.
- Is the data to be stored generated in a decentralised way? If the process generating the data has some other point where a single authority has complete say over what the data will look like, then DLT may add very little in terms of preventing tampering and imbuing trust.
The model that’s beginning to take form is a world where data is a resource of increasing supply thanks to large data providers, IoT devices, and the Internet. The data can be leveraged by AI algorithms that refine it and use it to take intelligent actions in the real world. These actions are facilitated by DLT technology that connect everything together, trigger the reconciling of trade, and record it all in a shared ledger. Once the networks are put in place, they run themselves and can ever grow smarter over time. This is the fourth industrial revolution.

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