Discover and read the best of Twitter Threads about #FAccT22
Most recents (9)
"When one sees a racist tweet receive hundreds of thousands of interactions, is the platform the antagonist?" - @DocDre #FAccT22
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)!
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
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
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 😬)
Being shown now at #FAccT22! The production quality on this paper video is so good 🥺 A must-watch for those interested in this growing area of AI auditing
Video is also moving at light speed 😅 so I haven't been able to take notes, catch the video, and tweet about it.
Some highlights:
* Client confidentiality prevents second-party auditors from sharing data about the audits
* Auditing regulation: ...there are few
#FAccT22
Some highlights:
* Client confidentiality prevents second-party auditors from sharing data about the audits
* Auditing regulation: ...there are few
#FAccT22
Here is the full video from @AJLUnited on "Who Audits the Auditors?" which is a must-watch from #FAccT22. (There is an abridged 4 minute version you can view as well!)
On #fuckthealgorithm, @g8enjamin: "resisting the algorithm is really resisting the *use* of algorithms" #FAccT22
On the use of #fuckthealgorithm, folks using it "viewed the algorithm as this local of complex sociotechnical issues, not trying to compress it into a technical object" #FAccT22
spectacular tracing of algorithmic resistance with this hashtag by @g8enjamin
spectacular tracing of algorithmic resistance with this hashtag by @g8enjamin
Really cool paper right now on Tech Worker Organizing that made use of a "Collective Action in Tech" archive, built by tech workers, union organizers, and sociologists! To do a landscape analysis of different tech worker actions -- very groovy. @FAccT22
Very interesting keynote panel at #FAccT22 now about management tools ('bossware') that reduce worker's autonomy and give power to employers.
Thinking about products that are often marketed for productivity, but used in unintended ways.
Thinking about products that are often marketed for productivity, but used in unintended ways.
Dr. Negron mentions that this tech can be weaponized by companies; for example, they're used by places like Amazon and Whole Foods to understand where there's a connection between workers that could lead to unionizing (!!). #FAccT22
Some really interesting / scary(?) things that these workforce management tools can do: ranking workers based on productivity, giving influence scores, track physical movements, and even sentiment analysis in meetings (!!); can feed into more malpractice
- Dr. Negron #FAccT22
- Dr. Negron #FAccT22
Some examples of how researchers have tried to align NLP systems with defined values, followed by Dr. Fung's proposition. #FAccT22
We know the first examples don't work, and I'm *really* curious what critical folks working on NLP and LLMs think about this talk right now 🤔
We know the first examples don't work, and I'm *really* curious what critical folks working on NLP and LLMs think about this talk right now 🤔
Definitely did not expect that this talk would lean on the trolley problem so much (and framing ethics as strictly either deontological or utilitarian).
There's also an argument proposed about how values are context-based, allowing some statements to be acceptable in some contexts and others to be unacceptable in others, with "chivalry" as a leading example... I think we need an analysis of power in this work...
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!
#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.
