https://www.popsci.com/technology/ai-warning-critics/

“Don’t be fooled: it’s self-serving hype disguised as raising the alarm,” says @dylan, a research engineer at @DAIR,...Speaking with PopSci, Baker went on to argue that the current discussions regarding hypothetical existential risks distract the public and regulators from “the concrete harms of AI today.” Such harms include “amplifying algorithmic harm, profiting from exploited labor and stolen data, and fueling climate collapse with resource consumption.”

There's yet another "AI will kill us all! It poses a risk of extinction!" letter going around, and I just… Y'all i am just so fucking tired.

CAPITALISM poses risk of extinction (climate change, right the fuck now).

WHITE SUPREMACY poses risk of extinction (genocide, eugenics).

HEGEMONY poses risk of extinction (nuclear FUCKING WAR).

And whatever "risk of extinction" "AI" poses, it poses because it is BUILT FROM THOSE EXTREMELY HUMAN VALUES.

Even if you stopped every "AI" project running, RIGHT THIS SECOND, those values would still kill us. And no matter how long you "pause" your "AI" projects, if you don't address those values? Then when you start your "AI" back up? You'll KEEP BUILDING THOSE SAME VALUES IN.

This is not hard. At this point, as much as it pains me to say it, it's not even novel. And yet you're still not fucking getting it.

I'm so goddam tired.

🎙️👏We are pleased to announce that 👩‍💻 Dr. Judy Gichoya
will be the keynote speaker 🔥 at our #FAIMI: Fairness of AI in Medical Imaging workshop at #MICCAI2023!

👉Check out: https://faimi-workshop.github.io/2023-miccai/

📝 Read our call for papers here: https://faimi-workshop.github.io/2023-miccai/

#MedicalImaging #MachineLearning #AI #FairAI

If you have any questions please reach out to us via faimi-organizers@googlegroups.com!

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#FAIMI is a series of workshops, incl. virtual ones! Selected papers from the #MICCAI2023 workshop will be presented at our virtual one on Nov 6, 2023.

Organized by Aasa Feragen, @AtoAndyKing, @benglocker, Daniel Moyer, @eferrante, @ipet, Esther Puyol, @melanieganzben1, @DrVeronikaCH
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🚨 Are you interested in the Fairness of Artificial Intelligence for Medical Imaging? Don't miss our next #FAIMI workshop at #MICCAI2023!

⏰Papers due: Jul 21, 2023
📅Workshop: Oct 8, 2023
📍Where: Vancouver 🇨🇦

Check out: https://faimi-workshop.github.io/2023-miccai/

#MedicalImaging #Fairness #MachineLearning 1/3

Great new profile of @timnitGebru in the Guardian.

“I’m not worried about machines taking over the world; I’m worried about groupthink, insularity and arrogance in the AI community.”

Was how she put it all the way back in 2016.

https://www.theguardian.com/lifeandstyle/2023/may/22/there-was-all-sorts-of-toxic-behaviour-timnit-gebru-on-her-sacking-by-google-ais-dangers-and-big-techs-biases?CMP=Share_AndroidApp_Other

The #Neurips2023 Call for Tutorials is now available! Deadline is June 21, and all tutorials should include a discussion panel.

https://neurips.cc/Conferences/2023/CallForTutorials

#Introduction I'm a 3rd year PhD student focusing on brining #haemodynamics into the clinic in the context of #cardiovascular research. To do this, I use novel graph neural network (#gnn) architectures to provide on-the-fly uncertainty quantification for clinical metrics. I regularly use #python, #r, #fortran and #sql. I plan to post mainly about interesting papers, repositories and my own work.

🌍 I'm off to #iclr2023, Kigali

We'll present our work "beyond #calibration", discussing why it is important to control individual probabilities output by classifiers, and how to do it.
https://openreview.net/forum?id=6w1k-IixnL8

Our work enables to characterize whether a #classifier outputs class-probabilities that correspond to the fundamental uncertainty of the class given the data: P(y|X)

More important, I'll be around to meet people and discuss! Hit me up

#MachineLearning

I don’t understand the attraction of being able to talk to computers using breezy casual conversational language; I’ve been telling these little digital bastards what to do for decades using extremely precise formalised language and they still get it wrong

Wow, the White House just dropped a new Executive Order that, among other things, addresses systemic #racism by "protecting the public from algorithmic discrimination" & directs a host of federal agencies to tackle this head-on. Color me impressed. #algorithms #policy

https://www.whitehouse.gov/briefing-room/presidential-actions/2023/02/16/executive-order-on-further-advancing-racial-equity-and-support-for-underserved-communities-through-the-federal-government/

LOVE this. Via @meg
" In particular, models can learn to
mimic the artistic style of specific artists after “fine-tuning”
on samples of their art. In this paper, we describe the design,
implementation and evaluation of Glaze, a tool that enables
artists to apply “style cloaks” to their art before sharing on-
line. These cloaks apply barely perceptible perturbations to
images, and when used as training data, mislead generative
models that try to mimic a specific artist"
https://arxiv.org/pdf/2302.04222.pdf