Just realizing now that there's an excellent panel from @VinhcentLe and @thecxphan from @Greenlining about community investment & AI, specifically with a focus on the Town (Oakland!!).
#FAccT22 folks at the conference irl should check it out!
I'm not sure if this session is being recorded, but this is a great talk about working with local communities & grassroots CBOs. I've seen a lot of people at the conference ask about how to engage marginalized communities, and I'd like to point folks towards this session!
I wish I live tweeted this session, because there's a ton of good stuff here around being thorough with picking trusted community partners to work with (and what that process entailed) and being thoughtful / responsible with the trust & privacy of community members.
Lots of take-aways from the session, such as the fact that communities *do* care! Even if orgs were reluctant at first, after learning more about the digital divide, they wanted to become more engaged (esp with policy). & gotta give agency to community members & what they want.
I heard a great question at a previous CRAFT about exactly this -- what process to take to connect and engage with vulnerable community to better serve them, and what the Greenlining folks did was exactly that, right here in Oakland. Please do check out their work!
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"When one sees a racist tweet receive hundreds of thousands of interactions, is the platform the antagonist?" - @DocDre#FAccT22
"Any technical endeavor should properly begin by reflecting upon sociological and cultural understandings of that technology’s use and consequences" - @DocDre#FAccT22
"Online racial microaggressions have been elevated from individual experiences to widely broadcast, reverberating moments simultaneously experienced by many Black folks" - @DocDre#FAccT22
Something that (initially) quietly happened this week that might need more attention: OpenAI's DALL-E (AI for image generation), which originally had a "no realistic faces allowed" policy has been changed to allow for the generation & sharing of faces.
Here's their official email about the policy change, and why they put the policy change in place (citing new "safety measures"). I don't know if this is enough, tbh.
You can see some of the results of the new face generation by DALL-E in this thread. The faces are extremely realistic, and while some might find it really cool, I'm *really* worried about the harms that this can lead to.
Really excellent talk right now on "Automating Care: Online Food Delivery Work During the CoVID-19 Crisis in India" by Anubha Singh and Tina Park that looks at structural inequalities and power asymmetries in the notions of "care" that delivery apps employed during COVID #FAccT22
Gotta read this paper and revisit this talk when I have more time, because this critical analysis applied to the measures adopted by delivery platforms in India is just *chef's kiss*
"Much of the responsibility of safety fell on the shoulders of the food delivery worker", while customers were not required to follow such safety protocols. Workers would be penalized for violating measures, but customers were not, revealing an asymmetry of care. #FAccT22
Really powerful video at #FAccT22 right now about gig workers who had to deal with pay change algorithms at the start of pandemic & how a community-led audit helped them bargain this "black box".
They'll be releasing a public version of the video soon (keep your eyes peeled)!
This work was led by folks at Coworker.org with gig workers at Shipt.
From the panel, it seems that they went to Shipt with a systematic review of the data around how their algorithms reduced workers' pay, but Shipt has denied this & things have not changed. #FAccT22
Some emotional words from Willy Solis, a Shipt Shopper who began organizing his fellow gig workers at Shipt when they implemented the pay cut. From this, he became a lead organizer for Shipt workers nationally with @GigWC. Do check out and support their work! #FAccT22
My high school (after I graduated) published a 'kill list' with names of Black students on it. NY Mag would probably write a spin article about how we should suspend our judgements about the model minority Asian kids who made that list.
Yes, this really happened, and there was NOT enough backlash. It was made by certain students at the school, and in the years that followed, other students organized a racial justice coalition at the school to address it. But not sure what ended up happening.
This shit was so vile. Here's the article about it that eventually got buried because the school protects its reputation so much:
Very cool paper from Terrence Neumann, Maria De-Arteaga, and Sina Fazelpour thinking about justice in misinformation detection systems that asks what "informational justice" looks like, esp. for different stakeholders who interact with information claims. #FAccT22
Huge example here. NYTimes conducted a data labelling experiment, where Native American students labelled this image of Residential Schools with tags such as genocide and cultural elimination. A leading algorithm labelled it "crowd, audience, and smile". Holy crap, #FAccT22
(ignore that this tweet got sent out like 10 hours late; Twitter for some reason refused to send it at first 😬)