Submit to the 6th Human-Centered Explainable AI (HCXAI) workshop at CHI 2026 in Barcelona! 🗓️ Deadline: Feb 19, 2026 📝 2-5 page single column papers (excluding refs) 🌐 hcxai.jimdosite.com

The Tools for Thought workshop at #CHI2026 is now accepting submissions! (due Feb 12, 2026 AoE) We invite work that explores how to effectively design, evaluate, or apply *AI-based tools that augment and protect human cognition*. For more, see: ai-tools-for-thought.github.io/workshop/

In a new blog post, I contrast two flavors of empiricism: the one practiced in the social sciences and the one practiced in ML/CS. I argue that we need both, given that CS is increasingly about "claims," and not just constructing artifacts. doomscrollingbabel.manoel.xyz/p/the-empiri...

In case you missed it in the flurry of NeurIPS activity, @hannawallach.bsky.social and I recorded a (video) podcast on women in ML, friendship, research, and careers.

Spread the word! 📢 The FATE (Fairness, Accountability, Transparency, and Ethics) group at @msftresearch.bsky.social in NYC is hiring interns and postdocs to start in summer 2026! 🎉 Apply by *December 15* for full consideration.

Can public involvement in AI evaluation improve the science? Or does it compromise quality, speed, cost? In @pnas.org, Megan Price & I summarize challenges of AI evaluation, review strengths/weaknesses, & suggest how participatory methods can improve the science of AI www.pnas.org/doi/10.1073/...

I am beyond trilled to present two 🏆 award-winning papers 🏆 @acm-cscw.bsky.social this year CSCW in beautiful Bergen, Norway!! Broadly, I'm excited to chat about responsible AI, AI auditing and red-teaming, and human-AI interaction. Say hi if we run into each other!

Inspired by a post by @bayesianboy.bsky.social , I wrote something on the differences between information and insight — and why understanding remains a very human act

A subtle aspect of predictive modeling is target variable construction: the process of translating a latent, unobservable concept like "healthcare need" into a prediction target But how does target variable construction unfold in practice, and how can we better support it going forward? #CSCW2025 🧵

LLM safety work often reasons over high-level policies (be helpful & polite), but must tackle on-the-ground cases (unsolicited money advice when stocks are mentioned). This can feel like driving on an unfamiliar road guided by a generic driver’s manual instead of a map. We introduce: Policy Maps 🗺️

There is a lot of talk and effort to figure out how genAI is different (I am also guilty of this!) -- the reality is that genAI is not that different and genAI is not that new either; it was hard to evaluate in the past, and it is still as hard to evaluate now #facct2025

Check out the camera-ready version of our ICML position paper ("Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge") to learn more!!! arxiv.org/abs/2502.00561 (6/6)

Somewhat oddly, the Trump regime's initial moves to cut science funding went very broad. This is catalyzing solidarity & advocacy around the value of science (see comms featuring cancer cures & tech innovation). But their next move may be to try to drive a wedge b/w "good science" & "bad science".

How's fascism going for you? medium.com/bits-and-beh...

Securing your phone before entering the USA. 🧵 At CDC we travel around the globe to confront health threats and have never worried about returning home. Yet more researchers, including US Citizens, are having their phones searched at Customs. security.ucop.edu/resources/tr...

Unidentified men grabbing someone off the street and putting her in a car because she wrote an op-Ed. This as flatly authoritarian as anything we’ve seen in this country in a very long time.

1. @alisongopnik.bsky.social, Cosma Shalizi, James Evans and myself have a new piece in Science on "AI" Large Models, pushing back against much of the collective wisdom about what they can and can't do. Official below, unpaywalled at henryfarrell.net/large-ai-mod... . So why this now?

How can we help communities collaboratively shape policies that impact them? In our #CHI2025 paper, we present PolicyCraft, a system that supports ✨collaborative policy design✨ through case-grounded deliberation. (🧵/11)

How can we better think and talk about human-like qualities attributed to language technologies like LLMs? In our #CHI2025 paper, we taxonomize how text outputs from cases of user interactions with language technologies can contribute to anthropomorphism. arxiv.org/abs/2502.09870 1/n

"18F works just how Musk + team pretend that they want gov't to work. But when his team found it, they destroyed it. 18F’s work is evidence that gov't works well, which undermines their msg that it doesn’t. 18F’s parent agency, the [GSA], turns a profit as an agency. So it has to be destroyed too."

#Pittsburgh friends, Join me on Friday #standupforscience2025. Our city will be devastated if our universities lose critical funding. Our universities are top 10 employers, the entire city’s economy is dependent on science funding. www.eventbrite.com/e/stand-up-f...

🏛️ How can we ensure that AI enhances, rather than harms, public services? In our policy memo, published with the Federation of American Scientists (@scientistsorg.bsky.social), we provide recommendations for how the fed gov't could help state & local agencies make better AI procurement decisions.🧵

Joseph Ura: “A president refusing to abide by the law or the Constitution and ignoring court orders to stop his illegitimate actions would be a constitutional crisis like a bank robbery is a cash flow crisis.” www.theatlantic.com/newsletters/...

Friendly reminder to get your free Covid tests before they throw them away. Covidtests.gov wapo.st/42VLGQh

for pity’s sake, I am BEGGING university leaders to stop framing this issue in terms of what this will cost the university. people dont care! EXPLAIN WHAT THIS WILL COST THE PUBLIC: closed hospitals and clinics, skipped treatments, loss of access to experimental drugs, unemployment, recession

"AI ... becomes a tool for replacing politics. The Trump administration frames generative #AI as a remedy to 'government waste.' However, what it seeks to automate is not paperwork but democratic decision-making."

Scientists and journalists need to figure out right quick how to explain to the average person how a massive change in research indirects will impact the medical care they and their children get (eg at the local children’s hospital), the education their children will get, the price of tuition, etc.

What I should have done in the beginning - here's a starter pack of 20-odd experts who journalists or others might want to read/talk to to understand the gutting of the administrative state (as opposed to broad decline of democracy etc). I've focused on academics go.bsky.app/MaC7vnv

First off, it's critical to note: NSF is CONGRESSIONALLY MANDATED to evaluate proposals via broader impacts, as defined by this law below. Hence, if the admin wants NSF to deviate, that's called **breaking the law** (important to remind Congress of that) www.law.cornell.edu/uscode/text/... 2/5

I'm an adventurous eater, but even I draw the line here

The moderation approach with custom labelers etc in Bluesky is pretty clever and worth understanding when you use this platform: bsky.social/about/blog/0....

Bitter Lesson¹ maximalists seem to ignore the distinction between AI capability improvement and AI-based product development. When it comes to the latter, the Bitter Lesson has never been true, and it would be silly to suggest that it is. ¹ www.incompleteideas.net/IncIdeas/Bit...

Alright it's here! Where we push back against the exploratory-confirmatory distinction that's become canonized in metascience and talk about what we think exploratory research (including exploratory experimentation and modeling) means and why our view is incompatible with 'unplanned data analyses'.

📢📢 Introducing the 1st workshop on Sociotechnical AI Governance at CHI’25 (STAIG@CHI'25)! Join us to build a community to tackle AI governance through a sociotechnical lens and drive actionable strategies. 🌐 Website: chi-staig.github.io 🗓️ Submit your work by: Feb 17, 2025

Human-centered Evalulation and Auditing of Language models (HEAL) workshop is back for #CHI2025, with this year's special theme: “Mind the Context”! Come join us on this bridge between #HCI and #NLProc! Workshop submission deadline: Feb 17 AoE More info at heal-workshop.github.io.

When I started on ARL project that funds my PhD, the thing we were supposed to build was a "MaterialsGPT". What is a MaterialsGPT? Where does that idea come from? I got to spend a lot of time thinking about that second question with @davidthewid.bsky.social and Lucy Suchman (!) working on this:

I am recruiting a postdoc via the CBI Fellowship Program (carnegiebosch.cmu.edu/fellowships/...). Interested in designing & evaluating interactive systems for participatory AI, augmented and collective intelligence, responsible AI, or related areas? Please apply and reach out to me via email!

The HCII at CMU seeks undergrads to do mentored summer research in design, behavioral sciences and computing technology. Stipend & support for housing/travel/food hcii.cmu.edu/summer-resea... Sample topics: Active Learning in STEM AI-Assisted Conflict Resolution Human-Centered Data Science and Viz

Just wrapped up teaching the first ever installment of my "Building Technologies for the Resistance" class — and what a privilege! Students worked to identify unjust power disparities, and explored how different anarchist design principles could be used to help. Syllabus: bit.ly/btr-syllabus

Always looking for good, clear, compelling essays to help introduce students to the notion that data can’t be “objective” or all-encompassing.

AI hype is making AI researchers forget painfully learned lessons core to the field. There's an emerging cope that progress in capabilities isn't slowing down—it's just invisible as benchmarks are saturated; vibe checks are useless because models are now superhuman so we can't perceive improvement.

Come work with @jessicahullman.bsky.social and I as a postdoc! We'll apply approaches from HCI, AI/ML, statistics, and decision theory to design new tools & methods for evaluating human-AI decision-making (e.g., tools to elicit, represent, & validate specifications of real-world decision problems).

Do you feel that your profession or organization urgently needs to adopt #AI? Here's some advice that we often share (as academics working in human-AI interaction and #ML) with professional colleagues who consider the role of modern technology in their professions. (w/ Weiwei Pan and Hongjin Lin)

We've been developing TAIGA (Tool for Auditing Images Generated by AI), it lets you generate images based on a prompt, compare against the images of other prompts, and discuss your findings. Let us know if you're interested in using TAIGA for your classes or AI literacy! taiga.weaudit.org

I'm teaching a grad seminar this winter on Prediction for Decision-making. We'll look at what it means to make good predictions for decision-making from various angles, with a focus on decisions for & about people. Reading list: statmodeling.stat.columbia.edu/2024/12/06/n... Suggestions welcome!

The continuing retconning of AI governance discussions so that they only start in November 2022 is endlessly surprising and annoying to me.

Wrapped up the first offering of a new course @cmuhcii.bsky.social this week: Augmenting Intelligence coaugmentation.com This was *such* a blast to teach! At our course exhibition on Wednesday, students presented posters, interactive demos, and art pieces around cognitive augmentation for...

Super excited to announce that @msftresearch.bsky.social's FATE group, Sociotechnical Alignment Center, and friends have several workshop papers at next week's @neuripsconf.bsky.social. A short thread about (some of) these papers below... #NeurIPS2024