The opportunities and risks of rules

The risks associated with unclear rules are well-known in the legal field. There are various ways of interpreting them, and opportunities for lucrative briefs. This article, however, discusses automated rules. Some blockchains, such as Ethereum, offer the option of carrying out transactions automatically according to predefined rules.

In compliance, work processes are taught and implemented on the basis of a compliance policy. Numerous steps are carried out according to If/Then rules. There are certain challenges associated with the digitalization of such processes:

  • Data quality: Rules are not applicable due to bad data. Or worse still, rules are misapplied.
  • Quality control: The review of automatically generated information is significantly more demanding than with manual processes.
  • Complexity of the rules: After the set of rules has reached a certain size, contradictory rules can easily arise.
  • Turing’s halting problem: Rules that are implemented automatically can go off course. This can’t be predicted in advance. Alan Turing proved that the halting problem is unsolvable. With the Ethereum blockchain, transactions that have gone off course are halted when the fuel provided has been used up.

Complete Revision of the Federal Data Protection Act

Complete Revision of the Federal Data Protection Act: „As of 15th September 2017, draft and report for a completely revised Federal Data Protection Act is public. In a first step parliament and the people agreed to adaptations in order to be compliant with EU law. The second part of the revision is debated by the parliament since September 2019. Data Protection is to be increased by giving people more control over their private data as well as reinforcing transparency regarding the handling of confidential data.”


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