- commit
- d687b9ef93982008c2c5e366eef6c4be3c3fcecb
- parent
- 249b98975c882cc89c88e8fe1b7f21920d4fffca
- Author
- Tobias Bengfort <tobias.bengfort@posteo.de>
- Date
- 2024-08-02 09:51
gdpr post: rephrase tax idea
Diffstat
M | _content/posts/2024-03-22-beyond-gdpr/index.md | 24 | +++++++++++------------- |
1 files changed, 11 insertions, 13 deletions
diff --git a/_content/posts/2024-03-22-beyond-gdpr/index.md b/_content/posts/2024-03-22-beyond-gdpr/index.md
@@ -165,20 +165,23 @@ communication strategy next time around. 165 165 166 166 Imagine if companies had to pay taxes on the size of their database. 167 167 -1 168 So far, the GDPR concentrates on individual rights. If a corporation violates -1 169 those rights there can be considerable -1 170 [fines](https://gdpr-info.eu/art-83-gdpr/). But if people willingly give their -1 171 data to Facebook, all is well according to GDPR. The conceptual shift I am -1 172 proposing is to preemptively tax corporations based on the risk their data -1 173 collection poses to society as a whole. -1 174 168 175 I can easily come up with a justification that contains enough buzzwords to 169 176 sway your average politician: *In these trying times full of ransomware and 170 177 cyber terrorism, storing any kind of data is a public security hazard. The 171 178 companies that are most likely to leak data should also pay the biggest part of 172 179 the cleanup-bill.* 173 180174 -1 So far the GDPR concentrates on [fines](https://gdpr-info.eu/art-83-gdpr/)175 -1 instead of taxes. I am not well versed in the discourse around these two176 -1 options. But maybe it's not even that important whether this is a fine or a177 -1 tax. The juice is in how it is calculated:178 -1179 -1 The fines in the GDPR can be high and they are also supposed to consider the180 -1 "number of data subjects affected and the level of damage suffered by them".181 -1 But I want something more specific. I want something like this:-1 181 The tax should incentivize corporations to keep datasets small, throw away -1 182 historic data, avoid highly sensitive fields, and restrict the pool of users. -1 183 Looking at *unique* datasets could encourage high k-anonymity. I imagine -1 184 something like this: 182 185 183 186 ``` 184 187 tax @@ -188,11 +191,6 @@ tax 188 191 * number of natural people with access 189 192 ``` 190 193191 -1 This would explicitly incentivize corporations to keep datasets small, throw192 -1 away historic data, avoid highly sensitive fields, and restrict the pool of193 -1 users. Also note that looking at *unique* datasets would encourage a high194 -1 k-anonymity, something that the GDPR doesn't even consider.195 -1196 194 There are clearly still a lot of details that need to be worked out. I also 197 195 have no clue how much administrative work this would cause. But it is an idea. 198 196