It's been a journey of nearly 3 years, but I'm very excited to announce the CNTR AISLE Portal! 🚀 cntr-aisle.org It’s a new way to review and evaluate the 1,000+ AI bills introduced in the U.S. over the last three years. Check out the Bill Library and our Profiles#AIPolicy #OpenData
Left: 1942 "War Map" produced by Esso, now ExxonMobil, charting oil's role in transportation as "key to victory". Right: 2024 map produced by NVIDIA as part of an investor presentation slide deck describing its involvement in sovereign AI efforts globally. On the left panel: "Nations are awakening to the imperative to produce artificial intelligence using their own infrastructure, data workforces and business networks."
The Commodification of AI Sovereignty: Lessons from the Fight for Sovereign Oil (with Kate E. Creasey, Taylor Lynn Curtis, and @geomblog.bsky.social), is out now on arXiv: www.arxiv.org/abs/2601.11763.
We released a new report in partnership with the Center for Tech Responsibility at Brown University on how policymakers and researchers can better analyze AI legislation to protect our civil rights and liberties.
Today on @indicator.media's free weekly briefing: The staggering impunity of xAI, which turned its abusive image generator on its own users in full view and has barely done anything to contain it.
New post by @michelleding.bsky.social on resources for the Brown community in the aftermath of the shooting. open.substack.com/pub/michelle...
@mantzarlis.com and folks at @indicator.media have done incredible reporting & investigation on the AI nudification ecosystem that I'm constantly citing in my research on AIG-NCII - appreciate all the work you do!
Very glad to be a part of a new paper detailing how developers and developer platforms can prevent AIG-NCII, a form of image based sexual abuse that disproportionately harms women and girls. Thanks to all the collaborators and Max Kamachee & @scasper.bsky.social for leading this important project!
Thanks to collaborators! This was a really interesting paper for me to work on, and it took a special group of interdisciplinary people to get it done.
Max Kamachee
@r-jy.bsky.social
@michelleding.bsky.social
@ankareuel.bsky.social
@stellaathena.bsky.social
@dhadfieldmenell.bsky.social
Spotify thought i was 87 if that makes you feel better
ACM members/computing researchers who should be members interested in contributing should join the subcommittee's mailing list!
One of our goals here is to build policy coalitions across institutions so we can do more as a collective 💪 and balance special interest groups.
@reniebird.bsky.social and I have just been appointed to co-Chair @TheOfficialACM's US Technology Policy Committee’s Subcommittee on AI and Algorithms. cs.brown.edu/news/2025/11...
PSA: tips to protect yourself from scams on Signal.
Every major comms platform has to contend w phishing, impersonation, & scams. Sadly.
Signal is major, and as we've grown we've heard about more of these attacks--scammy people pretending to be something or someone to trick and abuse others. 1/
Technologies like synthetic data, evaluations, and red-teaming are often framed as enhancing AI privacy and safety. But what if their effects lie elsewhere?
In a new paper with @realbrianjudge.bsky.social at #EAAMO25, we pull back the curtain on AI safety's toolkit. (1/n)
arxiv.org/pdf/2509.22872
I wrote a (personal) blog post about my hopes and dreams for AI policy, my devastation after the US Election, and my process of picking myself off the floor by rebuilding an optimistic vision for AI scientists in government through education: simons.berkeley.edu/news/rebuild...
Grey background with CNTR logo and black text that says: Testing LLMs in a sandbox isn’t responsible. Focusing on community uses and needs is. Michelle L. Ding, Jo Gasior-Kavishe, Victor Ojewale, and Suresh Venkatasubramanian Third Workshop on Socially Responsible Language Modelling Research (SoLaR) 2025 Full abstract available here bit.ly/solar-cntr Photos of authors in order of names above Brown Data Science Institute, Center for Technological Repsonsibility, Reimagination, and Redesign
Grey background with black text that says: Slide 1: What can you do as a researcher? Look into your local community - develop sustainable, long term partnerships with city-level or state-level coalitions, networks, news agencies, or non-profit organizations that do on the ground work to discover harms University researchers – look beyond your department into other disciplines in the humanities and social sciences to ground your research in interdisciplinary methods Industry researchers – look towards trust & safety teams, policy teams, human rights teams and establish collaborations where research reflects real uses. Or advocate to (re)establish these teams. Slide 2: Contribute to a crowdsourced, open source database: bit.ly/solar-cntr Case studies are a great way for us to share, learn, teach, and reflect on methods together. At SoLaR 2025, we hope to crowdsource a spreadsheet of community-driven LLM evaluation case studies that orient us towards contextualized, participatory, expertise driven evaluations. Please add any your own or related work to our spreadsheet :) And let’s stay connected! We also have a tab for contact info!
More resources here: bit.ly/solar-cntr 🌱 Happy to chat with anyone interested in learning more!
Brown background with CNTR logo with white text that says: Responsibility is not marginally improving LLMs to fit every use case. Responsibility is knowing when to use them and when not to.
Brown background with CNTR logo with white text that says: In LLM evaluations, we - researchers - are not the experts. We are the facilitators… …who enable communities to evaluate LLMs for themselves When we allow their expertise and lived experiences to guide our methodology… We will organically develop more meaningful scientific insights… And escape the vicious cycle of abstract benchmarks that only serve to misdirect and confuse us.
Brown background and CNTR logo with white text that says: Community-driven evaluations yield good scientific insights. They strip away marketing, hype, and unnecessary abstractions And reveal the contexts where LLMs might genuinely add value and where they do not. This opens space for meaningful dialogue between stakeholders across academia, industry, government, and civil society And empowers the public to engage with and assess for themselves whether the tools they are being presented with can be used responsibly.
Thank you everyone who came to our talk! Here are some highlights:
💡We kicked off the SoLaR workshop at #COLM2025 with a great opinion talk by @michelleding.bsky.social & Jo Gasior Kavishe (joint work with @victorojewale.bsky.social and
@geomblog.bsky.social
) on "Testing LLMs in a sandbox isn't responsible. Focusing on community use and needs is."
Have you or a loved one been misgendered by an LLM? How can we evaluate LLMs for misgendering? Do different evaluation methods give consistent results?
Check out our preprint led by the newly minted Dr. @arjunsubgraph.bsky.social, and with Preethi Seshadri, Dietrich Klakow, Kai-Wei Chang, Yizhou Sun
🚨 New preprint! 🚨
Excited to share my work: An AI-Powered Framework for Analyzing Collective Idea Evolution in Deliberative Assemblies 🤖🗳️
I’ll be presenting this at @colmweb.org in the NLP4Democracy workshop!
🔗 arxiv.org/abs/2509.12577
Hi #COLM2025! 🇨🇦 I will be presenting a talk on the importance of community-driven LLM evaluations based on an opinion abstract I wrote with Jo Kavishe, @victorojewale.bsky.social and @geomblog.bsky.social tomorrow at 9:30am in 524b for solar-colm.github.io
Hope to see you there!
Very excited to be part of this new AI Institute that is being led by Ellie Pavlick @brown.edu and to be able to work with so many experts, including @datasociety.bsky.social
www.brown.edu/news/2025-07...
A poster for the paper "Position: Strong Consumer Protection is an Inalienable Defense for AI Safety in the United States"
I'll be presenting a position paper about consumer protection and AI in the US at ICML. I have a surprisingly optimistic take: our legal structures are stronger than I anticipated when I went to work on this issue in Congress.
Is everything broken rn? Yes. Will it stay broken? That's on us.
With their 'Sovereignty as a Service' offerings, tech companies are encouraging the illusion of a race for sovereign control of AI while being the true powers behind the scenes, write Rui-Jie Yew, Kate Elizabeth Creasey, Suresh Venkatasubramanian.
Very excited to see this piece out in @techpolicypress.bsky.social today. This was written together with @r-jy.bsky.social and Kate Elizabeth Creasey (a historian here at Brown), and calls out what we think is a scary and interesting rhetorical shift.
www.techpolicy.press/sovereignty-...
