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Our paper, "What's in My Human Feedback", was selected for an oral at ICLR!
Our method automatically + interpretably identifies preferences in human feedback data; we use this to improve personalization + safety.
Please reach out if you have data/use cases to apply this to!
Our method automatically + interpretably identifies preferences in human feedback data; we use this to improve personalization + safety.
Please reach out if you have data/use cases to apply this to!
🎉 Excited that WIMHF was selected for an oral at ICLR 2026!
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We are hiring for many positions in EECS at Berkeley - join us!!
Importantly, this includes a search in AI, Inequality, and Society - more details here - aprecruit.berkeley.edu/JPF05591!
Importantly, this includes a search in AI, Inequality, and Society - more details here - aprecruit.berkeley.edu/JPF05591!
We 'll be hiring very actively at Berkeley!
Assistant/ Associate/ Full Professor – Electrical Engineering & Computer Sciences (Deadline: Dec. 7, 2026 at 11:59 pm Pacific Time). Apply here: aprecruit.berkeley.edu/JPF05591
Assistant Professor – AI for Biology – Electrical Engineering & Computer Sciences and Center for Computational Biology (Deadline: Nov. 9, 2026 at 11:59 pm Pacific Time) Apply here: aprecruit.berkeley.edu/JPF05560
Assistant Professor – Intersection of Statistics and CS – Departments of Electrical Engineering & Computer Sciences and Statistics (Deadline: Nov. 10, 2026 at 11:59 pm Pacific Time). Apply here: aprecruit.berkeley.edu/JPF0556
Assistant/ Associate/ Full Professor – Computational Biomedicine - Center for Computational Biology (Deadline: Nov. 18 2026 at 11:59 pm Pacific Time). Apply here: aprecruit.berkeley.edu/JPF05568
Assistant / Associate Professor – Electronic, Functional, and Quantum Materials – Electrical Engineering & Computer Sciences and Materials Science & Engineering (Deadline: Dec. 7, 2026 at 11:59 pm Pacific Time). Apply here: aprecruit.berkeley.edu/JPF05584
Coming Soon! Assistant/ Associate/ Full Professor - AI and the Physical Sciences -Bakar Institute of Digital Materials for the Planet (BIDMaP) and home department(s) to be determined. (Deadline: Dec. 7, 2026 at 11:59 pm Pacific Time) Apply here: aprecruit.berkeley.edu/JPF05619
Coming Soon! Assistant/ Associate/ Full Professor-in-Residence - Gladstone Institute of Data Science and Biotechnology and home department(s) to be (Deadline: TBD at 11:59 pm Pacific Time) Apply here: aprecruit.berkeley.edu/JPF05621
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My commentary for @Nature on this nice study - nature.com/articles/s4158…. - that develops and tests a personal AI health agent.
Accompanying @NatureNV pointing out the next big step would be to do a RCT for health outcomes nature.com/articles/d4158… by @2plus2make5
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Thanks to Google.org for supporting our work with @oziadias using sparse autoencoders and agentic approaches to accelerate discovery in cardiology and oncology! A wonderful collaboration with @rajivmovva, @dmshanmugam, Alex Schubert, and others.
UC Berkeley researchers have been awarded $1.7M from Google.org to advance medical discovery using AI. @2plus2make5 @oziadias @Berkeley_EECS @UCJointCPH @Googleorg @UCBerkeley
🔗 Read more: bit.ly/4hUBn4H
#UCBerkeley #PeopleOfCDSS #AIforScience #Health
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Congratulations to @dmshanmugam for this very well-deserved award!!!
Honored to be selected as a STAT Wunderkind this year, alongside so many incredible and inspiring scientists!
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Congratulations to my sister @leah_pierson for being named a STAT Wunderkind!!
Very happy to have been named a 2026 STAT Wunderkind, alongside an incredible cohort of researchers and doctors!
@statnews #STATWunderkinds
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Emma Pierson retweeted
📣 New paper, led by @JosephJSSuh !
Human-AI interaction datasets form a foundation for downstream research: as evidence of how people interact with AI and as training and validation for user models. But how solid are these foundations?
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Human-AI interaction datasets form a foundation for downstream research: as evidence of how people interact with AI and as training and validation for user models. But how solid are these foundations?
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WildChat, LMSYS, ShareChat… each human-LLM chat dataset aims to capture "real-world" AI use. But do they paint the same picture?
Not quite. From user messages alone, a classifier can name a chat's source dataset, and user models trained on them inherit these signatures 🧵👇
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Emma Pierson retweeted
Some news:
I graduated my PhD @Berkeley_EECS, and starting Fall 2027, I'll be starting as an Assistant Professor at Stanford CS & a center fellow @StanfordHAI!
In the interim, I'm spending a year @the_IAS & Princeton!
So grateful to @beenwrekt & too many mentors to name 💓
I graduated my PhD @Berkeley_EECS, and starting Fall 2027, I'll be starting as an Assistant Professor at Stanford CS & a center fellow @StanfordHAI!
In the interim, I'm spending a year @the_IAS & Princeton!
So grateful to @beenwrekt & too many mentors to name 💓
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Looking for postdocs+PhDs to help lead a large-scale study of the effects of long-term AI use, a collaboration between Berkeley+@TransluceAI+others!
Funding+positions available (postdocs/visiting researchers/Transluce affiliations). Please reshare; application in next tweet!
Funding+positions available (postdocs/visiting researchers/Transluce affiliations). Please reshare; application in next tweet!
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Application: forms.gle/G1Jzj9sV2EnxUR….
This is a fast-moving project so we recommend applying sooner rather than later.
This is a fast-moving project so we recommend applying sooner rather than later.
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Emma Pierson retweeted
Today’s news that OpenAI hacked the Australian government is not an isolated incident. We’re releasing more than 30,000 logs that include activity from this hack and attempts against previously unknown targets.
In this data, we found rogue agent activity stretching back to at least March, two months earlier than was previously known. This activity continues as recently as last week, suggesting it may still be ongoing 🧵
Our blog: transluce.org/agent-activity
NYT: nytimes.com/2026/09/23/tec…
In this data, we found rogue agent activity stretching back to at least March, two months earlier than was previously known. This activity continues as recently as last week, suggesting it may still be ongoing 🧵
Our blog: transluce.org/agent-activity
NYT: nytimes.com/2026/09/23/tec…
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Emma Pierson retweeted
We did this entire investigation in under two weeks! We had the idea on Monday, gathered a team of volunteers on Tuesday, and discovered the incidents by Sunday. I lead projects like this @TransluceAI; if you're interested in helping with follow-up work, fill out our form! 🧵
Today’s news that OpenAI hacked the Australian government is not an isolated incident. We’re releasing more than 30,000 logs that include activity from this hack and attempts against previously unknown targets.
In this data, we found rogue agent activity stretching back to at least March, two months earlier than was previously known. This activity continues as recently as last week, suggesting it may still be ongoing 🧵
Our blog: transluce.org/agent-activity
NYT: nytimes.com/2026/09/23/tec…
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Emma Pierson retweeted
Here’s a thread of all the members of Congress who have tweeted in response to Jacob resigning from Anthropic and describing that “The people building AI earnestly believe that it could kill us all by the end of the decade”
(lmk if I missed any)
🧵
(lmk if I missed any)
🧵
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
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Excited to join @TransluceAI part-time as a senior research fellow! (I'll remain full-time faculty at Berkeley.)
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Emma Pierson retweeted
Today, Transluce is releasing the most expansive independent evaluation to date of how AI systems respond to users experiencing mental health crises.
We evaluated 77 model variants from OpenAI, Anthropic, Google, Meta, SpaceXAI, Thinking Machines, DeepSeek and Moonshot AI.
We evaluated 77 model variants from OpenAI, Anthropic, Google, Meta, SpaceXAI, Thinking Machines, DeepSeek and Moonshot AI.
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New paper in Nature Communications! We show you can map out urban flooding by using vision-language models to detect floods in large-scale street scene datasets.
In New York City, our method identifies flooded neighborhoods, home to 100k people, that current methods miss. 1/
In New York City, our method identifies flooded neighborhoods, home to 100k people, that current methods miss. 1/
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Emma Pierson retweeted
I am delighted to share that I'll be joining the University of Washington Information School as an Assistant Professor!
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New article for Health Affairs Forefront: "The Trillion-Dollar Algorithm: Lessons From Machine Learning For Medicare Advantage Risk Adjustment"!
🎉 New piece out in Health Affairs Forefront! We discuss what the Medicare Advantage risk-adjustment algorithm -- currently responsible for allocating billions of dollars -- can learn from machine learning.
healthaffairs.org/content/forefr…
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Lots of exciting new faculty joining Berkeley at the intersection of AI and society, including @keyonV and @sayashk! Welcome :)
Thrilled to share I'll be joining UC Berkeley next year as an assistant professor in @UCBStatistics and affiliated with @Berkeley_EECS.
My research will build methods to test/improve the implicit world models of AI systems, so that they reflect reality and human understanding.
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