From an admittedly brief look (while interesting it has no direct immediate relevance to me), I can't tell if this applies universally regardless of scale, or i

From an admittedly brief look (while interesting it has no direct immediate relevance to me), I can't tell if this applies universally regardless of scale, or if there is any sort of gradient. Does anyone know? Some of it seems reasonable period at any scale, but some of it would be worrisome or strike me as unreasonable/negative if it applied to individuals as opposed to larger network where emergent effects happen. To take a personal example, I selfhost Blue Iris and am using some AI recognition in my home security system, which I also use for wildlife monitoring. It's really awesome vs the old plain motion or even motion zones, and as there is zero exposure to the internet, nor even any view of public property at all (end of 1/3 mile driveway with woods). It is useful to be able to classify known (me, family, regular neighbors) vs unknown people as well. I think the societal harm potential of an isolated system like that vs the individual benefit is low, and thus I'd lean towards skepticism if that too fell under their banner of "Biometric identification and categorisation of people" or "Real-time and remote biometric identification systems, such as facial recognition". But of course in a public setting, and/or networked with lots of others with enough scale to start effectively following people through space and time not just capturing one private slice, the metrics all change. So as I watch various AI efforts I'm always thinking about how they address that (or not). I don't think "profit" is even the deciding thing here, something can not be commercial but still potentially a problem at enough scale.