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Slack AI Training with Customer Data

slack.com

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Re: Slack AI Training with Customer Data

#92
post #74

In summary, you must opt-out if you want to exclude your data from global models. Incredibly confusing language since they also vaguely state that "data will not leak across workspaces". Use tools that cannot leak data not "will not".

Aren't all tools, essentially, just one API call away from "leaking data"?

Re: Slack AI Training with Customer Data

#93
post #71
post #61

> We offer Customers a choice around these practices. If you want to exclude your Customer Data from helping train Slack global models, you can opt out. If you opt out, Customer Data on your workspace will only be used to improve the experience on your own workspace and you will still enjoy all of the benefits of our globally trained AI/ML models without contributing to the underlying models. Why would anyone not opt…

> Why would anyone not opt-out? This is basically like all privacy on the internet. Everyone WOULD opt-out, if it was easy, and it becomes a whack-a-optput game. note how you opt-out (generic contact us), and what happens when you do opt-out (they still train anyway)

When we send our notice, we are going to be sending a notice that we want none of our data used for any ML training from Slack or anyone else.

Re: Slack AI Training with Customer Data

#94
post #74

In summary, you must opt-out if you want to exclude your data from global models. Incredibly confusing language since they also vaguely state that "data will not leak across workspaces". Use tools that cannot leak data not "will not".

what is the difference between "will not" and "cannot" in legalese?

"Will not" allows the existence of a bridge but it's not on your route and you say you're not going to go over it. "Cannot" is the absence of a bridge or the ability to cross it.

Re: Slack AI Training with Customer Data

#95
post #90

>Our mission is to build a product that makes work life simpler, more pleasant and more productive. I know it would be impossible but I wish we go back to the days when we didn't have Slack (or tools alike). Our Slack is a cesspool of people complaining, talking behind other people's backs, echo chamber of negativity etc. That probably speaks more to the overall culture of the company, but Slack certainly doesn't hel…

> That probably speaks more to the overall culture of the company Yep. Fun fact, my last workplace had a fairly nontoxic Slack... but there was a whole second Slack dedicated to bitching and shitposting where the bosses weren't invited. Humans gonna human.

Was not limited to just the bosses who were not invited. If you weren’t in the cool club you also did not get an invite.

A very inclusive company on paper that was very exclusionary behind the scenes.

Re: Slack AI Training with Customer Data

#96
post #87

Earlier quoted context omitted.

They're saying they won't train generative models that will literally regurgitate your text, my guess is classifiers are fair game in their interpretation

The OP privacy policy explicitly states that autocompletion algorithms are part of the scope. "Our algorithm that picks from potential suggestions is trained globally on previously suggested and accepted completions." And this can leak: for instance, typing "a good business partner for foobars is" might not send that text upstream per se, but would be consulting a local model whose training data would have contained…

yeah i absolutely agree that even classifiers can leak, and the autocorrect thing sounds like i was wrong about generative (it sounds like an n-gram setup?)... although they also say they don't train LLMs (what is an n-gram? still an LM, not large... i guess?)

Re: Slack AI Training with Customer Data

#97

Earlier quoted context omitted.

Why shouldn’t AI be able to shitpost too? At the very least, and much more importantly, AI should be able to recognize shitposting.

This is the crux of it, and where I'm wondering if I'm missing something. Can it, today? My understanding is it cannot discern reality from fiction, thus "hallucinations" (a misnomer because it implies awareness, which these probability models lack).

That sounds surprisingly human
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