If you ask Signal president Meredith Whittaker (and I did), she’ll tell you it’s simply because “AI is a surveillance technology.”
Onstage at TechCrunch Disrupt 2023, Whittaker explained her perspective that AI is largely inseparable from the big data and targeting industry perpetuated by the likes of Google and Meta, as well as less consumer-focused but equally prominent enterprise and defense companies.
“You know, you walk past a facial recognition camera that’s instrumented with pseudo-scientific emotion recognition, and it produces data about you, right or wrong, that says ‘you are happy, you are sad, you have a bad character, you’re a liar, whatever.’ These are ultimately surveillance systems that are being marketed to those who have power over us generally: our employers, governments, border control, etc., to make determinations and predictions that will shape our access to resources and opportunities.”
Ironically, she pointed out, the data that underlies these systems is frequently organized and annotated (a necessary step in the AI dataset assembly process) by the very workers at whom it can be aimed.
It’s not actually that good… but it helps detect faces in crowd photos and blur them, so that when you share them on social media you’re not revealing people’s intimate biometric data to, say, Clearview.”
Like… yeah, that’s a great use of AI, and doesn’t that just disabuse us of all this negativity I’ve been throwing out onstage,” she added.
The original article contains 512 words, the summary contains 234 words. Saved 54%. I’m a bot and I’m open source!
This is the best summary I could come up with:
If you ask Signal president Meredith Whittaker (and I did), she’ll tell you it’s simply because “AI is a surveillance technology.”
Onstage at TechCrunch Disrupt 2023, Whittaker explained her perspective that AI is largely inseparable from the big data and targeting industry perpetuated by the likes of Google and Meta, as well as less consumer-focused but equally prominent enterprise and defense companies.
“You know, you walk past a facial recognition camera that’s instrumented with pseudo-scientific emotion recognition, and it produces data about you, right or wrong, that says ‘you are happy, you are sad, you have a bad character, you’re a liar, whatever.’ These are ultimately surveillance systems that are being marketed to those who have power over us generally: our employers, governments, border control, etc., to make determinations and predictions that will shape our access to resources and opportunities.”
Ironically, she pointed out, the data that underlies these systems is frequently organized and annotated (a necessary step in the AI dataset assembly process) by the very workers at whom it can be aimed.
It’s not actually that good… but it helps detect faces in crowd photos and blur them, so that when you share them on social media you’re not revealing people’s intimate biometric data to, say, Clearview.”
Like… yeah, that’s a great use of AI, and doesn’t that just disabuse us of all this negativity I’ve been throwing out onstage,” she added.
The original article contains 512 words, the summary contains 234 words. Saved 54%. I’m a bot and I’m open source!