AI’s Impact on Black Americans
(hai.stanford.edu)
from Gaywallet@beehaw.org to technology@beehaw.org on 12 Aug 2024 16:23
https://beehaw.org/post/15488757
from Gaywallet@beehaw.org to technology@beehaw.org on 12 Aug 2024 16:23
https://beehaw.org/post/15488757
threaded - newest
Professional sociologists, academics, and literal computer scientists who study AI: Hey we have a huge bias problem, and we haven’t really solved that yet. There will be huge ramifications if people blindly use AI
Tech bros: Lol ship it
.
I’ve been saying for a while now that the singularity isn’t going to be based in an AGI, ot will be minimizing quantum computing not just to a commercial scale, but to an implantable scale, and creating a neural “third hemisphere” implant which allows the user to basically have all the capabilities that human thought excels at over machines calculation, as well as all the capabilities of the reverse.
If we hit that point before inequality is addressed, it will lead to the classes literally becoming different species from each other, an overlord owning class that has financial access to such expanded mental capacity, and the peasant working classes that are financially shut out of the expanded career potential the implants would provide.
Not to mention the terroristic horror that could come from the implant not being solidly air gapped from the internet. Might be cool to perfectly calculate an optimal frisby toss, but it’ll be less cool if someone changed the trajectory you’re aiming along to turn the thing into a murder weapon by hitting a rando at just the right angle.
.
I’m pretty sure the that actually happening “singularity” is the climate crisis. It won’t be stopped because it’s profitable for the capitalists who violently control the planet. So we’ll probably never see useful quantum computers, much less implantable ones.
Not sure if it’s what you’re talking about, but consumer cameras, and most graphics systems, have been using logarithmic encoding (gamma) to fit a larger dynamic range into a reduced data range… which has the effect of reducing de detail level of larger areas of an image, with the idea that the human eye would struggle to see them anyway. It didn’t have anything to do with complexion, but with pushing technology to a minimally acceptable level on a limited budget. HDR cameras with linear encoding, are still quite expensive, way out of the consumer market range, and it doesn’t seem like that’s going to change too soon.
Tech executives to the Public: “Wow, that’s really interesting. This is definitely something we need to work on and do better. You’ll be hearing more from us on this soon!” (But no way am I spending any money that should be going to my bonus on woke DEI shit)
Tech execs to engineers: “…Ship it faster, and cheaper!”
Engineer 1: “Hey, have we covered all our test bases on this?”
Engineer 2: (looks around office) “Yep, I think we’ve tested with everyone here!”
News report: “The product exhibits a clear anti-black bias, and leaked documents show that the product was not tested for it at all.”
.
yeah it is, also a west coast engineer, but there’s also nuance. There’s definitely a difference between HR telling you the corporate policies and then there’s going to your VP and telling them their pet product may have ethical ramifications. There’s a lot of rug sweeping if a project is important.
.
Computer scientists are notoriously literal.