| > As governments move more and more towards digitization, and embrace machine learning I spent a decade in the public sector digitalisation of Denmark, a country that competes with Estonia about having the most digitalisation in the world. I fully believe we should legislate against automated processes taking decisive actions. It’s inefficient, but what I experienced in regards to laws is that they are way more messy than anyone working in digitalisation seem to realise. We build a system that let employees report their business-related driving, in Denmark you get a tax-reduction when you drive in your own car for work purposes, and the laws covering it is basically an A4 page of tax-law that seems sort of clear. You have 3 set of taxation rates that you get to deduct from, they are meant to be used for different types of work related driving. Simple, right? Well, it turned out that in 9 different municipalities there was 9 different ways to interpret that A4 page of law text, and, more than a 100 different union agreements on how to extend or alter the tax law for certain groups of workers. As hilarious as it was to sit through meetings with different sets of tax people from different municipalities getting into heated arguments about who was break the law, it was also sort of eye opening for me at the time. Because we made this as an OSS project where we bought the development that we project managed. My role was part of the project management team as a code-reviewer/specifier of sorts, and all our estimates simply went out the window when we realised we really had to build all those different ways of interpreting the law, as well as making room for future alterations. In the end, it didn’t extend the project that much, I think we still delivered it on schedule but it was a very different product with lots and lots of setup required, because the different municipalities needed to be capable of deciding which rules were turned on for which groups of workers, as well as control over how the approval system was handled by everything from tax lawyers going through every submission to secretaries to RPA robots simply clicking accept on everything. The system wasn’t related to decision making automation that couldn’t be easily undone by humans, because it was still a relatively simple system. But if that sort of complexity is what you get from some of the simplest legislation we have, then imagine what it would look like for laws covering thousands of A4 pages of text. |
I share an attitude with Frank Zappa here. Zappa was rather oddly against "Love song lyrics". He said they led to poor mental health by propagating unrealistic expectations of intimate relations.
Similarly, I think that Science Fiction has a lot to answer for. I personally love most SciFi, but like Orwell the Cyberpunk genre was misinterpreted as a blueprint instead of a warning, and many people carry around disported, unrealistic and quite mentally damaged ideas of what a "good" technological society should look like.
[1] https://digitalvegan.net