As an example, he showed an image of a cat that a Google algorithm had correctly categorized as a tabby cat. On the next slide was a nearly identical picture of the cat, with only a few pixels changed, and Google was 100 percent positive that the image on the screen was guacamole.Second point is something I hadn't thought about: Anonymizing is impossible.
But wearable data are not the same as numbers on a spreadsheet; they can’t be easily anonymized, said Andy Coravos, chief executive of Elektra Labs, a company seeking to identify biomarkers in digital data to improve clinical trials.The whole point of gathering 'wearable' data is to form a unique pattern that CAN'T be anonymized. And it doesn't take AI to re-nominalize such patterns. An 1890 Hollerith computer could do it, given enough time. Even a box of McBee cards could do it.
“How many people here think you could de-identify your genome?” she asked. “Probably not, because your genome is unique to you. It’s the same with most of the biospecimens coming off a lot of wearables and sensors — I am uniquely identifiable with 30 seconds of walk data.”
Labels: AI point-missing, Deadthink
The current icon shows Polistra using a Personal Equation Machine.