Pinned toot

gender πŸ‘ can't πŸ‘ be πŸ‘ inferred πŸ‘ from πŸ‘ physiognomy

Show thread
Pinned toot

these are the works and the folks that keep me from (total) despair when navigating 'technology'
are.na/de/critiquing-algorithm

"What We Bring:
vocal-biomarkers - AI-based platform that uses voice to detect & monitor health status
big-data - Big data patterns to analyze population health
voice-plateform - Proprietary voice technology"

well HELL NO, thanks, bye

dust boosted

"Even as GEO seriously fought for and continually affirmed the importance of the anti-policing demands, and indeed the importance of an abolitionist strike, membership began to act in ways that mirrored the dynamics of the very entities they were seeking to abolish."

Six Reflections on an Abolitionist Strike at the University of Michigan

black-ink.info/2020/09/30/six-

Show thread
dust boosted

i also wrote the Hall of Gender Forms which does not have a comments section and thus cannot accumulate bigots

garbados.github.io/hall-of-gen

Show thread

Repairing Innovation: A Study of Integrating AI in Clinical Care
by Madeleine Clare Elish and Elizabeth Anne Watkins

datasociety.net/library/repair

dust boosted
dust boosted

My keynote for ActivityPub Conference 2020 is now online a few days before the conference begins! Since it's a fully remote conference, the idea is you can (should?) watch the talks before the interactive/live sessions later this week.

Here's the keynote, which is about ways to provide value to users that CANNOT be re-centralized by the big corporations: conf.tube/videos/watch/b8d6c88

And all the other talks, which I'm excited to watch: conf.tube/video-channels/apcon

"New Laws of Robotics: Defending Human Expertise in the Age of AI"
Frank Pasquale
hup.harvard.edu/catalog.php?is

2020 ML 'state-of-the-art': bunch of white men failing to understand systemic racism

dust boosted

gender πŸ‘ can't πŸ‘ be πŸ‘ inferred πŸ‘ from πŸ‘ physiognomy

Show thread

here an attempt to make automatic gender recognition from faces more inclusive of 'nonbinary genders'...

arxiv.org/pdf/2007.06141.pdf

these fucking people do not get it

am looking at papers on arxiv CS with 'gender' in the title from the last 12 months and I'm eating my liver

"Fairness Matters – A Data-Driven Framework Towards Fair and High Performing Facial Recognition Systems"

hell no, fuck you

bullshit tech classifying gender 

'Understanding Fairness of Gender ClassificationAlgorithms Across Gender-Race Groups'
arxiv.org/pdf/2009.11491.pdf

'the bias of the gender classification system is not due to a particular algorithm'

should we tell them

"It's Really Up To Us" Barbara Smith on Combahee, Coalitions and Dismantling White Supremacy
soundcloud.com/anticapitalist-

dust boosted

white compsci graduates can and will reinvent phrenology and call it machine learning

Show more
ACP πŸŽ‰πŸ°

The social network of the future: No ads, no corporate surveillance, ethical design, and decentralization! Own your data with Mastodon!