Our Responsible AI team at Apple is looking for spring/summer 2026 PhD research interns! Please apply at jobs.apple.com/en-us/detail... and email rai-internship@group.apple.com. Do not send extra info (e.g., CV), just drop us a line so we can find your application in the central pool!
Photo of the Town Hall meeting at last week's conference. The audience watches as Su Lin Blodgett announces the location of next year's conference. Su Lin Blodgett and Zeerak Talat will be General Chairs, and Michael Madaio will be PC Chair.
We're happy to officially announce the location of #FAccT2026!
Next year's conference will be held in Montreal, Canada 🇨🇦
Su Lin Blodgett and Zeerak Talat will be General Chairs, and Michael Madaio will be PC Chair 🎉
(thanks to MindView for the photo!)
Our #FAccT2025 proceedings are out!! 🎉
Read all of the published papers here: dl.acm.org/doi/proceedi...
Looking for posts about #FAccT2025? Check out our 🦋 custom feed 🦋 which is already lively and full of papers, events, and attendees for this year's conference in Athens!
Click the pin 📌 in the upper right hand corner to keep this feed quickly accessible.
bsky.app/profile/mari...
Invited Speakers for the XAI4CV workshop at CVPR 2025 — Mihaela van der Schaar, Tsui-Wei (Lily) Weng, Klaus-Robert Müller, Junfeng He, Chinasa T Okolo
We are thrilled to welcome an incredible lineup of invited speakers to the 4th Explainable AI for Computer Vision (XAI4CV) Workshop, held as part of #CVPR2025 — which kicks off next week, from Wednesday, June 11th to Sunday, June 15th in Nashville, TN!
Commencement 🐯🎓🎉
Thanks Chelsea and same!! I am jealous of the CMU community 😭 Hope to see you again soon!
Yes! Thank you for everything Jenn 🥺❤️🎉
Thanks for the awesome community 🙌
Thank you Nick!
Thanks Maria, appreciated your advice at FAccT last year 😊
After taking some time off to recharge and be with family in Korea, I'll be moving to Seattle with my husband (finally putting an end to our Princeton-LA long distance). I've never been to Seattle so please share your favorite places for 🍴☕🍷🎾🏃♀️🏞️
I'm thrilled about my next position at Apple! Fantastic colleagues & environment & location (Seattle), somehow the stars aligned 🌟🌟🌟 Really excited to continue research on responsible AI & human-AI interaction and expand it in new ways.
It’s been a wonderful 5 years where I got to work across AI, HCI, and FATE with truly amazing mentors (tagged above, Ruth Fong, Elizabeth Anne Watkins, @tanialombrozo.bsky.social, @markriedl.bsky.social) and friends. I am very grateful and hope to pay forward the help and kindness I received.
Sunnie standing in front of her presentation celebrating the successful defense 🎉
Vera, Andrés, Sunnie, Olga, and Jenn (on Sunnie’s laptop screen) celebrating
Group photo of everyone who joined Sunnie’s dissertation defense
Lauren, Sunnie, and Jeff (photo taken at CHI 2025)
📢 I successfully defended my PhD dissertation! Huge thanks to my committee (Olga @andresmh.com @jennwv.bsky.social @qveraliao.bsky.social @parastooabtahi.bsky.social) & everyone who supported me ❤️
📢 Next I'll join Apple as a research scientist in the Responsible AI team led by @jeffreybigham.com!
Exciting news!!! This just got into @icmlconf.bsky.social as a position paper!!! 🎉 More updates to come as we work on the camera-ready version!!!
Thanks for bringing together HAI girls ✨️✨️
Indu and Sunnie in front of the Yokohama city name sculpture
14 Princeton HCI folks in front of the CHI 2025 sign
A group of friends smiling at dinner in a ramen restaurant
Sunnie presenting her paper; the slide shows the paper title, authors, and funding acknowledgements
#CHI2025 = friends, friends, and friends (many not in the pics) 🥰 Research can be lonely, so moments like these are special! Thank you all for an amazing week of learning and fun. Hope to be back soon!!
Can't believe I missed this post😂 Congrats again, so happy for you and Cornell IS 🎉
Let's try to find a time at CHI!
Wed April 30: I'll be presenting Allison Chen's LBW on what mental capacities people attribute to LLMs (w/ Amaya, Olga, @judithfan.bsky.social) in the 10:30-11:10am and 3:40-4:20pm poster sessions (North 1F)
📌 programs.sigchi.org/chi/2025/pro...
📄 cogtoolslab.github.io/pdf/chen_chi...
Tue April 29: I'll be cheering Indu Panigrahi present our LBW on interactive AI explanations (w/ Amna, Rohan, Olga, Ruth, @parastooabtahi.bsky.social) in the 10:30-11:10am and 3:40-4:20pm poster sessions (North 1F)
🧵 bsky.app/profile/para...
📌 programs.sigchi.org/chi/2025/pro...
Mon April 28: I'll be presenting our 🏅 paper on fostering appropriate reliance on LLMs (w/ @jennwv.bsky.social, @qveraliao.bsky.social, @tanialombrozo.bsky.social, Olga Russakovsky) in the 4:20-5:50pm paper session (G303)
🧵 bsky.app/profile/sunn...
📌 programs.sigchi.org/chi/2025/pro...
I'll be at #CHI2025 🌸 to share 1 paper and 2 LBW on fostering appropriate user understanding and reliance on AI (LLMs and not). Let's catch up and connect!
What I've been up to: job market & research (responsible AI, human-centered evaluation, overreliance, anthropomorphism) 🤓
Title: “Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations.” Authors: Indu Panigrahi, Sunnie S. Y. Kim*, Amna Liaqat*, Rohan Jinturkar, Olga Russakovsky, Ruth Fong, Parastoo Abtahi. Logos: Princeton University, NSF, OpenPhil, Princeton HCI, Open Glass Lab, and Princeton Visual AI Lab. CHI 2025, April 26–May 1, 2025, Yokohama, Japan, including illustrations of Yokohama’s skyline, ferris wheel, and a pink sailboat labeled “CHI.”
Check out Indu Panigrahi’s LBW at #CHI2025: “Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations.”
🔗 Project Page: ind1010.github.io/interactive_XAI
📄 Extended Abstract: arxiv.org/abs/2504.10745
🎉🎉✨️✨️🥰🥰
Thanks Daniel! Hope to see you at CHI if you're going 🥳
"Fostering Appropriate Reliance on LLMs" received an Honorable Mention at #CHI2025!
This work is also the last chapter of my dissertation, so the recognition feels more special🏅🎓😊
🎉 to the team @jennwv.bsky.social @qveraliao.bsky.social @tanialombrozo.bsky.social Olga Russakovsky
I've recently put together a "Fairness FAQ": tinyurl.com/fairness-faq. If you work in non-fairness ML and you've heard about fairness, perhaps you've wondered things like what the best definitions of fairness are, and whether we can train algorithms that optimize for it.
NEW from my team: a framework that walks AI product teams step-by-step through understanding and mitigating the risk of overreliance on AI. This happens when ppl accept incorrect AI outputs, b/c we …
learn.microsoft.com/en-us/ai/pla...
