I think the responses to this can be broken down into a 2x2 matrix: level of concern vs. understanding of technology. 1) Don't understand ML; not concerned - "I have nothing to hide." 2) Don't understand ML; concerned - "I bought this device and now people are spying on me!" 3) Understand ML; not concerned - "Of course, Google needs to label its training data." 4) Understand ML; concerned - "How can we train models/c…
I'm perhaps in a subcategory of (3) that falls under "Understand ML; concerned". Knowing what I know about how people I have worked with have come close to or have actually mishandled data despite the best of intentions, I do not trust any of these teams without an explicit accountability mechanism that is observable by an outside entity. I'm not looking to punish slip-ups, because mistakes happen, but I am looking f…
The legal and marketing teams that come up with the jargon and slogans about privacy are so far removed from the day to day operations that they have no clue about the reality. I don't they would care even if they did.