superqwert
Joined 9 years ago
Joined 9 years ago
#3 Is the worst - if we have learnt anything in the past century, it is that our attempts at behavioural changes rarely work[i], and even when they do they often result in the opposite effect[ii].
[i] - My favourite book that points this out is Behavioural Adaptation and Road Safety. Well worth a read. Examples are many, such as in the case of criminalising texting while driving, which results in "crotching" (texting from a phone on your lap) and has resulted in increased accidents.
[ii] - Plenty of examples of this already on the environmental scene:
- let's use plastic bags to save trees! oh no plastic bags are worse!
- let's use diesel rather than petrol! Here, have subsidies! Oh no, it's making everything worse
- let's improve energy efficiency! oh no, now more energy is used! https://en.wikipedia.org/wiki/Jevons_paradoxNo, it's not.
> it's hard to be patriotic when every country has so many skeletons in the closet you'd think it's perpetually Halloween
When did nations not have skeletons in their closets?
+ The additional perturbations make the situation more random, rather than entirely based on the inconsistencies of the board design.
"Even if face recognition can match a face with 99% accuracy, the sheer amount of faces available in police databases makes false positives inevitable. (The 1% error rate means that, if 10,000 people who are not wanted by the police undergo face recognition, 100 will be flagged as wanted)."
The author is not being fair.
Usually with technologies like these, developers will not aim for an accuracy of 99%, but a precision of 99% (that is what we do with Congestion Charging in London, where the ramifications of FPs are much lower [I work in Transport for London]). That means that for 10,000,000 people undergoing facial recognition, only 100 may be flagged as wanted, and only 1 will be a false positive. If we were talking about 99% accuracy, that doesn't necessarily mean what the author claims either. Accuracy is (TP + TN)/(P + N), meaning that the decrease in 1% from 100% can be in any of:- a lowering of TP or TN; or an increase of FP or FN. There is no reason to think that the 1% will all mean false positives.