Beyond Transparency, Ch. 22: Open Data and Algorithmic Regulation
http://beyondtransparency.org/chapters/part-5/open-data-and-algorithmic-regulation/
Tim O’Reilly starts and ends chapter 22 with features of the available regulatory systems around us:
1. A deep understanding of the desired outcome
2. Real-time measurement to determine if that outcome is being achieved
3. Algorithms (i.e. a set of rules) that make adjustments based on new data
4. Periodic, deeper analysis of whether the algorithms themselves are correct and performing as expected.
Normal regulatory model in our today’s governance focuses on the rules rather than outcomes. Government as a platform which needs to assure the success of its society can benefit from such a system. Google search engine uses short click and long click understanding to get feedback and check whether a search, was successful or not; then edits its system accordingly. Why a government don’t modify its bad actions with the same method?
O’Reilly describes the notion of reputaion which to me is quiet interesting. Reputation means letting people rate the system and help its evolution. Reputation is as important as the regulatory system itself. Uber and Lyft use reputation very well. Live Standards and PulsePoint seem to be successful in using government data.
