@landay

Professor of Computer Science, Stanford - HCI & Design. Co-founder & Co-Director @StanfordHAI. Personal opinions, not Stanford's, https://xitter.cf/t.co/hiUxtqJDPg

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Joined March 2007
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Joining @Stanford CS & returning home to CA-Hard to leave NYC & @Cornell_Tech, but excited to help @StanfordHCI & Design to the next level!
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James Landay retweeted
Stanford HAI
@StanfordHAIOct 5
Benchmark scores influence which AI models get funded, bought, and regulated. Two new studies from Stanford researchers and collaborators, supported by Stanford HAI, ask whether those tests measure what they claim to. Read more: hai.stanford.edu/news/the-te…

The Tests That Grade AI May Be Getting It Wrong | Stanford HAI

Benchmarks — the standardized tests that rank AI models on safety, bias, and reasoning — drive markets and shape regulation. New Stanford research finds they often don't measure what they claim to.

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It is important for AI to understand our long-term goals and help us *achieve* these goals. Important work from a great PhD student I work with @sapkotashardul_. Supported by @StanfordHAI and @HPI_DE. Check it out!
Shardul Sapkota@sapkotashardul_Sep 29
AI systems understand what we’re doing right now. What if they could also understand what we’re working toward long term and why it matters to us? We built Tempo to connect computer use to long-term goals, with inferences you can inspect and correct. Our UIST 2026 paper 🧵
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Parker Ruth, a PhD student I advise @Stanford, devised an improved method to analyze heart signals. His Bayesian pulse deconvolution method helps extract accurate information from health device biosignals. Read about it in our npj Digital Medicine paper. hci.st/bayesianpd
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James Landay retweeted
Stanford HAI
@StanfordHAISep 16
Downloading a model is increasingly easy. Understanding how it was made — or changing it at its root — is another matter. “Open weights answer ‘Can I run this?’ Open source answers ‘Can I trust this, improve it, and build the next thing on top of it?’ Right now almost everyone is answering the first question but nowhere close to the second.” Stanford HAI Denning Director @landay, cited in The Register: theregister.com/columnists/2…

Open weights are not open source: Why AI's favorite label is under dispute

Downloading a model is increasingly easy. Understanding how it was made, or changing a system at its root, is another matter

theregister.com
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James Landay retweeted
Stanford HAI
@StanfordHAISep 18
Monday, 10 am PT: Rob Reich, @Diyi_Yang, and @AmyZegart open Prompt Response, our new faculty series. On the table: Is AI an existential risk, can the pace slow, and who writes the rules? Register now: hai.stanford.edu/events/rob-…
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From ImageNet for computer vision to HELM for LLMs, Stanford’s AI team has been at the forefront of open source evaluation of AI. @StanfordHAI, home to @StanfordAILab, supports researchers at the forefront of AI model benchmarking. It takes a village to shepherd great technology!
Christopher Manning
@chrmanningSep 12
I propose Stanford NLP as an independent third-party evaluator under @DarioAmodei’s 3 step plan. For important parts of the work, universities would be better than any other organization (see below 🧵👇), and, of university groups, @stanfordnlp would be the best one to choose. 😊
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Honored to lead this merged institute with a new vision and excited to have @drfeifei and John Hennessy advise me.
Stanford HAI
@StanfordHAIMay 5
Big news! @Stanford is merging @StanfordHAI & Stanford Data Science into a single institute, led by @landay. Continuing under the HAI name, the institute seeks to advance AI & data science for discovery, transform education, and shape AI’s societal impact: news.stanford.edu/stories/20…
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Important work!
Michelle Lam@michelle123lamApr 15
Most of what I actually need help with, I never think to tell a model. But why is it on me to remember? Our new paper asks: what if AI could proactively specialize to individuals and the tasks they’re carrying out at this very moment? 🧵
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James Landay retweeted
Michael Bernstein@msbernstApr 16
Best paper honorable mention at CHI — instantly adaptive objectives for LMs as you use your computer
Michelle Lam@michelle123lamApr 15
Most of what I actually need help with, I never think to tell a model. But why is it on me to remember? Our new paper asks: what if AI could proactively specialize to individuals and the tasks they’re carrying out at this very moment? 🧵
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Wake up #CHI2026 & get to the conference. See the important & thought-provoking work on ontological multiplicity & personal sensing—pushing us to rethink what “the human” means in design. Come support my star advisee Nava Haghighi in P1-133 at 9AM. Paper:dl.acm.org/doi/10.1145/37723…

Multiplicity in Practice: Glitching the Human In/Through Personal Sensing | Proceedings of the 2026...

dl.acm.org
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James Landay retweeted
Michelle Lam@michelle123lamApr 15
Thanks so much to co-authors @oshaikh13, Hallie Xu, @azguo2, @Diyi_Yang, @jeffrey_heer, @landay, & @msbernst! We’re grateful that this work received a CHI best paper honorable mention! paper: arxiv.org/abs/2510.14591 waitlist: forms.gle/rVzWo5asJ2Xv6QEq7 talk: Th 4/16 12pm @ P1-111

Just-In-Time Objectives: A General Approach for Specialized AI Interactions

Large language models promise a broad set of functions, but when not given a specific objective, they default to generic results. We demonstrate that inferring the user's in-the-moment objective,...

arxiv.org
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Star co-advised student @michelle123lam giving a talk on very cool work this morning at #chi2026 in room 111 at noon. Come see it! Best paper honorable mention winner.
Michelle Lam@michelle123lamApr 15
Most of what I actually need help with, I never think to tell a model. But why is it on me to remember? Our new paper asks: what if AI could proactively specialize to individuals and the tasks they’re carrying out at this very moment? 🧵
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Next session: 🚨 Best Paper at #CHI2026 🚨 Don’t miss “Bloom: Designing for LLM-Augmented Behavior Change Interactions” by my co-advised student Matthew Jörke (@mjoerke), exciting work on how LLMs can support real behavior change. stanfordhci.github.io/Bloom/ 11:39am (Wed), Room 111

Bloom: Designing for LLM-Augmented Behavior Change Interactions

Bloom is a physical activity promotion app that pairs an LLM health coach with evidence-based behavior change UI, evaluated in a four-week randomized field study.

stanfordhci.github.io
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Don’t miss this at #CHI2026 in 15 min 🔥 “Comparing Design Metaphors & User-Driven Metaphors for Interaction Design” by my co-advised student Beilicia Bullock — really exciting work on how metaphors shape interaction. Room 112, 9:36am programs.sigchi.org/chi/2026…

CHI '26 Home

programs.sigchi.org
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Great work on an app for fitness behavior change led by @mjoerke (PhD student advised by @EmmaBrunskill and me). Work supported by @StanfordHAI and the @H_P_Foundation in collaboration with @HPI_DE. You should download the Bloom app when it is ready or read the paper now!
Matthew Jörke@mjoerkeApr 8
I’m excited to share that Bloom, where we ran a four week study on LLM health coaching, just won a Best Paper Award at CHI! 🏆 Paper: arxiv.org/abs/2510.05449 Website: stanfordhci.github.io/Bloom Interest form: forms.gle/JzEHgpLarJ6qc73v9 Come see my talk! programs.sigchi.org/chi/2026… [1/11]
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James Landay retweeted
Stanford HAI
@StanfordHAIMar 27
At @NVIDIAGTC, @StanfordHAI's James @Landay said we're amid a major shift in human-computer interaction. Current text/voice AI is "just a blip" and he envisions a future of multimodal agents that anticipate user needs through voice, gesture, and context: nvidia.com/en-us/on-demand/s…
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James Landay retweeted
Stanford HAI
@StanfordHAIFeb 14
A big shoutout to @StanfordEng's Terry Winograd on his election to the National Academy of Engineering, one of engineering's highest honors! Hear his insights on AI's challenges & possibilities in our recent conversation on generative frictions: hai.stanford.edu/events/gene…
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The Brutalists 99percentinvisible.org/episo… Would be nice if @99percentinvible they admitted how bad these buildings are for health and wellness based on research.
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James Landay retweeted
Bill Clinton
@BillClintonJan 25
Over the course of a lifetime, we face only a few moments where the decisions we make and the actions we take will shape our history for years to come.  This is one of them.
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James Landay retweeted
Stanford HAI
@StanfordHAIJan 8
🔎 @StanfordHAI is seeking a temporary Digital Marketing Assistant! The ideal candidate must have keen attention to details, excellent time management, and strong communication skills. Check out our career openings here: hai.stanford.edu/careers

Careers | Stanford HAI

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