Sign in

Katherine Heller

@kat-heller.bsky.social
1.1K followers 341 following 4 posts

Machine Learning researcher. Former stats faculty. Works for Google Research, and on better days, herself.

PostsRepliesMedia
Reposted by Katherine Heller
Margaret Mitchell @mmitchell.bsky.social · 08/05/2025
Our new work deconstructing the concept of "AGI", led by the brilliant @borhane.bsky.social in collaboration with @graziul.bsky.social , Hananel Hazan, @shiridoshi.bsky.social +more co-authors below, has been accepted to ICML. 🤗 We discuss the many "traps" that... 🧵 1/ arxiv.org/abs/2502.03689
arxiv.org
Stop treating `AGI' as the north-star goal of AI research
The AI research community plays a vital role in shaping the scientific, engineering, and societal goals of AI research. In this position paper, we argue that focusing on the highly contested topic of ...
19025
Reposted by Katherine Heller
Borhane Blili-Hamelin @borhane.bsky.social · 06/02/2025
With Christopher Graziul, @struthious.bsky.social, Hananel Hazan, El-Mahdi El-Mhamdi, @evijit.io, @kat-heller.bsky.social, Jacob Metcalf, Fabricio Murai, @eryk.bsky.social, Andrew Smart, Todd Snider, Mariame Tighanimine, @taliaringer.bsky.social, @mmitchell.bsky.social and Shiri Dori-Hacohen.
bit.ly
Blili-Hamelin et al. Stop Treating 'AGI' as the north-star goal of AI Research.pdf
4145
Reposted by Katherine Heller
Joe Alderman @jaldmn.bsky.social · 18/12/2024
Hello there BlueSky, it's a great pleasure to be able to share a project our team has been working on these last three years! (Led by the venerable @xiaoliu.bsky.social) www.thelancet.com/journals/lan... 1/
thelancet.com
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations
Without careful dissection of the ways in which biases can be encoded into artificial intelligence (AI) health technologies, there is a risk of perpetuating existing health inequalities at scale. One major source of bias is the data that underpins such technologies. The STANDING Together recommendations aim to encourage transparency regarding limitations of health datasets and proactive evaluation of their effect across population groups. Draft recommendation items were informed by a systematic review and stakeholder survey.
1154
Reposted by Katherine Heller
NeurIPS Conference @neuripsconf.bsky.social · 07/12/2024
This year, the Affinity Events at NeurIPS are happening throughout the conference week and provide invaluable research contributions, mentorship opportunities, and community! We encourage everyone to actively participate. See schedule details in the thread below and here: tinyurl.com/fz3fesdy
1379