For the Dutch people on here, the new surveillance law in short:

- dragnet surveillance, data retention of normal data is a maximum of 3 years, encrypted data up to 6 years.

- secret DNA database, data retention up to 30(!!) years.

- use of 0days without having to report them to the vendors.

- third parties may be hacked to get to main targets; if my neighbor is suspected they may legally hack me in order to get to him/her.
Cleaning up (removing backdoors etc) afterwards is not required.

- sharing unfiltered (raw) data gathered through dragnet surveillance with foreign intelligence agencies is permitted, even if it's to a country which doesn't have as much 'democracy' as this country does.

Decide for yourself if you're voting (at all) against or in favor of this law, I'm voting against :)

We do need a new/reformed law, this one is just too intrusive imo.

Didn't really know how to categorize, bit of a question/discussion/curiosity, so I put it here.🤷

Just today I read an article that stated about the Netherlands, where the police will use an "AI surveillance camera" (yey buzzwords incoming 🙄, but it would actually make sense(?)🤷) to detect and punish drivers, holding a smartphone. Pictures without smartphone shall be deleted. How would this system work without having non-smartphone pictures? It needs to build a classifier, doesn't it? (To be clear, the system only reports those images to an officer for further analysis and actions.)

I mean let's consider that the images are somehow pre-processed, then some convolution(s) for feature extraction, then maybe some more intermediate steps and at the end apply the results on a classifier. How would that classifier work? Would a probability between 0 and 1 suffice? And if so, report those from 0,5 and above? Or would there be better techniques?