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just a note to the programmers on here: if your work involves ai, neural networks, or other expensive algorithms designed to replace human judgement, consider how much it's truly meant to be more equitable and/or efficient and whether it meets that goal. if it doesn't and you're just automating existing judgement at great expense, the purpose of including a neural network is to obfuscate culpability

this is not theoretical

really you can just go and keep making street fighter or whatever

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@triz also: if you are training it from human behavior and you haven't taken into account how that human behavior is flawed (such as being racist, with institutional racism issues like 'applicants with non-white names rejected more often' or 'redlining means no black people in the nice neighborhoods'), you're not making some big elegant solution.

you're just fucking up with extra steps

which means you're bad at your job and your programming is shit and you should feel bad for being bad.

@triz someone on here said a large amount of AI is just "intention laundering" for systemic racism and i'll never forget it

@callie @triz @jackdaw_ruiz @activationfxn I mean that’s not totally fair, there are at least a few morally neutral applications for machine learning ...

... in which case it becomes just bitcoin mining but for algorithms :P

@mxsparks @triz @jackdaw_ruiz @activationfxn i can't tell if this is sarcasm or not (because i don't think bitcoin mining is "morally neutral", nor is deploying thousands of kilowatt hours of computing on toy problems)

@callie @triz @jackdaw_ruiz @activationfxn oh god no, i meant it to be sarcasm but failed to take Poe’s law into account

@mxsparks @triz @jackdaw_ruiz @activationfxn i mean, in my head i was like "clara wouldn't mean that!!" but you know, strange times

@jackdaw_ruiz @activationfxn @triz so glad they did not use the tool, rather than starting a chain of events that would lead to a ted talk about how great lacross is and how jared is a great name for a successful person because Reasons

@activationfxn @triz that's a fantastically evocative phrase. And yeah that sounds completely right

@triz 95% of all AI stuff is devoted to predicting the stock market, and is thus doomed to failure.

@triz Yeah, and why do that stupid Silicon Valley stuff when you could be using logic programming and Lisp macros to roughly approximate human reasoning capabilities?

@pizza_pal i mean my point was more about how it enables redlining without anyone having to actually get caught with a map with literal red lines drawn on it, and other ways it perpetuates institutional and societal bias, and specifically racism. but enjoy your programmer jokes i guess

@triz Oh yeah, no kidding! Not to make jest of it, those techniques and practices have a demonstrated tendency to preserve or amplify existing inequalities--the practice of redlining is one of the best examples of this, I think.

Silicon Valley is only interested in surveillance capitalism. I try to think about technology that would be useful for a better society, less hierarchical, jobs guarantee, not doing lots militarized racial violence and shit, etc.

@triz I only use neural nets for stupid stuff.

Like making a person look like pasta.

@triz i actually used to work on, like, one of the few morally neutral applications for ML! i don’t want to say what it is, but it’s a domain where each problem generally has an objective answer, ML techniques blow non-ML techniques out of the water, and ML algorithms can solve the problem far faster than a human ever could with comparable accuracy.

... i wound up quitting anyway because i was worried about what my project could be used in.

@hierarchon @triz So, when the larger picture was considered, it wasn't necessarily morally neutral.

Good on you for leaving. I wish we'd all make such judgement calls.

@triz

The problem is there are several notions of equitable that are themselves in conflict and impossible to reconcile without robust discussions involving non-computer scientists

youtube.com/watch?v=jIXIuYdnyy

I've made the focus of my ML work to enhance rather than replace human judgement with the understanding that only humans are equipped to make the necessary tradeoffs and even then not all humans.

@triz

Ah, neural networks : What if we invented a way to give computers a primitive sense of intuition and then deployed it extensively in situations where society has discovered that it's disastrous to make decisions by intuition?

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