Registration is NOW OPEN for #CHIL2024 !

We're thrilled to welcome a diverse lineup of speakers and bring you a program packed with cutting-edge research presentations and networking opportunities.

🔗 Secure your spot today at chilconference.org

📢 Calling all PhD students! We're excited to announce that the Doctoral Symposium will be returning for CHIL 2024. Find more details at the link below and submit by March 15th! 📅 chilconference.org/call-for-docto…
#CHIL2024

Reminder: Submissions are due this Friday! Check out the three tracks here: chilconference.org/call-for-paper… We're also accepting position paper submissions!

In this installment of “AI and Clinical Practice,” Marzyeh discusses her research lab at Massachusetts Institute of Technology (MIT) which specializes in examining biases in AI, specifically in clinical practice.

#JAMAai

Also on Apple Podcasts Spotify: JAMA Medical News

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Looking for the right venue to showcase your groundbreaking research on AI/ML methods and applications in health settings? CHIL is the perfect platform! We solicit a diverse range of topics on ML/AI advancements in the health domain. ⚕️🧑‍💻🔍
Visit chilconference.org to submit

🚨 Deadline Extension Alert 🚨
We’re extending our submission deadline to Feb 16th EoD! 🎉 Don’t miss the opportunity to polish your work & submit the best version of your paper! chilconference.org/call-for-paper… #CHIL2024 #CallForPapers #ml4h #machinelearning #ai #health #MoreTimeToShine

Exciting News! CHIL 2024 features a stellar lineup of speakers and panelists. Get ready to dive into the latest innovations in computing, healthcare, and AI with Samantha Kleinberg, Sanmi Koyejo, Deb Raji, Leo Anthony Celi, David Meltzer, Kyra Gan, and Girish Nadkarni! 🌟

Plan to submit to CHIL 2024! :)

Submit to MusIML at #NeurIPS2023 !

If you're in town on October 15th, register for this event!

This poster is so much cooler than I am. Time to up my game.

Can you tell this influencer selling you a cosmetic product is not real, but an AI-generated avatar? Chinese e-commerce sellers have started to deploy deepfakes like this to livestream 24/7. All it costs is $1000 and a 1-minute training video. technologyreview.com/2023/09/19/107…

🌟 Congrats to #JameelClinic PIs fotini christia, Marzyeh, RGB Lab @ MIT, Regina Barzilay, Connor W. Coley, & Tommi Jaakkola on being awarded grants by the Massachusetts Institute of Technology (MIT) President & Provost for proposed research on the societal impact of generative AI! news.mit.edu/2023/mit-schol…

Very honoured to be included in this year’s #Time100AI list of influential people in AI🎈And more so the humbling messages from so many people ❤️. The work on directing AI to social purpose remains, and the ownership and inclusion of global communities🌍
time.com/collection/tim…

MIT Assistant Professor Marzyeh has been at the forefront of bias in medical machine learning for several years. In this talk, she covers how we can prevent AI from replicating the inequities & why we shouldn’t be afraid of AI in health. ow.ly/ZzLf50PKjL9

More focus on data (features & labels) in AI/ML and decision making is key. See Aparna Balagopalan on the impact of labels, a NEJM perspective with Kadija Ferryman, PhD (she/her) & Maxine Mackintosh re data, and Hammaad Adam on HCI.

scientificamerican.com/article/algori…

nature.com/articles/s4385…

nejm.org/doi/full/10.10…

Excited to be part of Cambridge Science Festival's Health Equity Lunch & Learn Series on 9/28 @ 12pm! #JameelClinic PI Marzyeh will talk about what it takes to prevent AI from replicating the inequities & harms of human biases. RSVP required. Don't miss it! jclinic.mit.edu/event-details/…

Biased data can teach us a lot about what a society values & practices. NEJM's AI in Medicine series published a review article by Kadija Ferryman, PhD (she/her) Maxine Mackintosh & #JameelClinic PI Marzyeh encouraging an artifact-based approach to biased data: nejm.org/doi/full/10.10…

📢Out today📰!
We've got a new paper with the awesome Kadija Ferryman, PhD (she/her) @JHSPH_HPM & Marzyeh MIT EECS on how 'biased' data in #AI could be seen as an informative artifact which helps us root out sources of bias
cc Genomics England The Alan Turing Institute
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nejm.org/doi/full/10.10…

Medical AI tools trained on skewed data may exhibit bias. In a new article in our AI in Medicine series, Drs. Kadija Ferryman, PhD (she/her), Maxine Mackintosh & Marzyeh discuss how thinking of clinical data as artifacts can identify values, practices & patterns of inequity in health care.