iiinova — where your digital self keeps evolving

Reposted by Angelina Wang @ COLM

Isabel Silva Corpus @isabelcorpus.bsky.social · 30/09/2026

In 2023, Change.org integrated an AI-assisted writing tool into their platform. We found that access to the tool changed platform trends in petition text, but that outcomes (signatures and comments) did not improve... Excited that this paper is out, check it out! 🔗: www.nature.com/articles/s41...

nature.com

Introducing AI to an online petition platform changed outputs but not outcomes - Nature Human Behaviour

Corpus et al. examine how the introduction of an AI writing tool impacted Change.org petitions, finding that it increased petition homogeneity but did not improve petition outcomes.

22311

Reposted by Angelina Wang @ COLM

Hanna Wallach @hannawallach.bsky.social · 29/09/2026

I'm super excited that this fun paper with @madesai.bsky.social, @angelinawang.bsky.social, and other fantastic collaborators will be presented as a spotlight oral at COLM next week!!! 🎉 Please come check it out if you'll be there!

0285

Angelina Wang @ COLM @angelinawang.bsky.social · 28/09/2026

Check out our new COLM oral paper led by Meera, where we use convergent and discriminant validity to show how benchmarks purporting to measure similar and dissimilar concepts correlate with each other in unexpected ways!

0111

Reposted by Angelina Wang @ COLM

Mel Andrews @bayesianboy.bsky.social · 10/08/2026

Excited to be holding a symposium on AI/ML in science evaluation at PSA 2026. Who here is going to San Diego? @philsci.bsky.social

4224

Reposted by Angelina Wang @ COLM

Jennah Gosciak @jennahgosciak.bsky.social · 25/06/2026

I am excited to be at @facct.bsky.social this year presenting a new 📝 "Scrutinizing Index-Based Risk Assessments: A Case Study in NYC Decision-making for Heat Emergency Management" (work with Luke Boyce, @angelinawang.bsky.social , and @allisonkoe.bsky.social ). 🔗: dl.acm.org/doi/10.1145/... (1/10)

1196

Reposted by Angelina Wang @ COLM

Mor Naaman @informor.bsky.social · 11/03/2026

🥁🥁🥁 Newly out from us today in Science Advances: “Biased AI Writing Assistants Shift Users’ Attitudes on Societal Issues”. Large Language Models are providing users with autocomplete writing suggestions on many platforms. Could these suggestions shift users’ own attitudes? (spoiler: YES) (1/7)

5195105

Reposted by Angelina Wang @ COLM

Center for Democracy & Technology @cdt.org · 06/02/2026

We’re thrilled to welcome CDT’s 2026–2027 class of Non-Resident Fellows — a remarkable group of scholars and experts whose insights will strengthen our work defending civil rights, civil liberties, and democratic values in the digital age. cdt.org/about/fellow...

1102

Reposted by Angelina Wang @ COLM

Sophie Greenwood @sjgreenwood.bsky.social · 14/01/2026

Excited to present a new preprint with @nkgarg.bsky.social: presenting usage statistics and observational findings from Paper Skygest in the first six months of deployment! 🎉📜 arxiv.org/abs/2601.04253

417150

Angelina Wang @ COLM @angelinawang.bsky.social · 12/12/2025

Most LLM evals use API calls or offline inference, testing models in a memory-less silo. Our new Patterns paper shows this misses how LLMs actually behave in real user interfaces, where personalization and interaction history shape responses: arxiv.org/abs/2509.19364

13811

Reposted by Angelina Wang @ COLM

Deb Raji @rajiinio.bsky.social · 29/10/2025

Started a thread in the other place and bringing it over here - I really think we should be more vocal about the opportunities that lay at the intersection of these two options! So I'm starting a live thread of new roles as I become aware of them - feel free to add / extend / share :

610731

Angelina Wang @ COLM @angelinawang.bsky.social · 28/10/2025

Cornell (NYC and Ithaca) is recruiting AI postdocs, apply by Nov 20, 2025! If you're interested in working with me on technical approaches to responsible AI (e.g., personalization, fairness), please email me. academicjobsonline.org/ajo/jobs/30971

academicjobsonline.org

Cornell University, Empire AI Fellows Program

Job #AJO30971, Postdoctoral Fellow, Empire AI Fellows Program, Cornell University, New York, New York, US

13120

Reposted by Angelina Wang @ COLM

M.J. Crockett @mjcrockett.bsky.social · 21/10/2025

Can AI simulations of human research participants advance cognitive science? In @cp-trendscognsci.bsky.social, @lmesseri.bsky.social & I analyze this vision. We show how “AI Surrogates” entrench practices that limit the generalizability of cognitive science while aspiring to do the opposite. 1/

sciencedirect.com

AI Surrogates and illusions of generalizability in cognitive science

Recent advances in artificial intelligence (AI) have generated enthusiasm for using AI simulations of human research participants to generate new know…

9288119

Angelina Wang @ COLM @angelinawang.bsky.social · 30/07/2025

Grateful to win Best Paper at ACL for our work on Fairness through Difference Awareness with my amazing collaborators!! Check out the paper for why we think fairness has both gone too far, and at the same time, not far enough aclanthology.org/2025.acl-lon...

aclanthology.org

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs

Angelina Wang, Michelle Phan, Daniel E. Ho, Sanmi Koyejo. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

0284

Reposted by Angelina Wang @ COLM

Jacy Reese Anthis @jacyanthis.bsky.social · 30/07/2025

@angelinawang.bsky.social presents the "Fairness through Difference Awareness" benchmark. Fairness tests require no discrimination... but the law supports many forms of discrimination! E.g., synagogues should hire Jewish rabbis. LLMs often get this wrong aclanthology.org/2025.acl-lon... #ACL2025NLP

Angelina Wang presents the benchmark with Jewish synagogue hiring as an example.

151

Reposted by Angelina Wang @ COLM

Deb Raji @rajiinio.bsky.social · 24/07/2025

Was beyond disappointed to see this in the AI Action Plan. Messing with the NIST RMF (which many private & public institutions currently rely on) feels like a cheap shot

2115

Reposted by Angelina Wang @ COLM

Alexandra Olteanu @aolteanu.bsky.social · 18/06/2025

We have to talk about rigor in AI work and what it should entail. The reality is that impoverished notions of rigor do not only lead to some one-off undesirable outcomes but can have a deeply formative impact on the scientific integrity and quality of both AI research and practice 1/

Print screen of the first page of a paper pre-print titled "Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor" by Olteanu et al. Paper abstract: "In AI research and practice, rigor remains largely understood in terms of methodological rigor -- such as whether mathematical, statistical, or computational methods are correctly applied. We argue that this narrow conception of rigor has contributed to the concerns raised by the responsible AI community, including overblown claims about AI capabilities. Our position is that a broader conception of what rigorous AI research and practice should entail is needed. We believe such a conception -- in addition to a more expansive understanding of (1) methodological rigor -- should include aspects related to (2) what background knowledge informs what to work on (epistemic rigor); (3) how disciplinary, community, or personal norms, standards, or beliefs influence the work (normative rigor); (4) how clearly articulated the theoretical constructs under use are (conceptual rigor); (5) what is reported and how (reporting rigor); and (6) how well-supported the inferences from existing evidence are (interpretative rigor). In doing so, we also aim to provide useful language and a framework for much-needed dialogue about the AI community's work by researchers, policymakers, journalists, and other stakeholders."

26518

Reposted by Angelina Wang @ COLM

Hanna Wallach @hannawallach.bsky.social · 15/06/2025

Alright, people, let's be honest: GenAI systems are everywhere, and figuring out whether they're any good is a total mess. Should we use them? Where? How? Do they need a total overhaul? (1/6)

13311

Angelina Wang @ COLM @angelinawang.bsky.social · 02/06/2025

Have you ever felt that AI fairness was too strict, enforcing fairness when it didn’t seem necessary? How about too narrow, missing a wide range of important harms? We argue that the way to address both of these critiques is to discriminate more 🧵

1161

Reposted by Angelina Wang @ COLM

Emma Pierson @emmapierson.bsky.social · 25/04/2025

The US government recently flagged my scientific grant in its "woke DEI database". Many people have asked me what I will do. My answer today in Nature. We will not be cowed. We will keep using AI to build a fairer, healthier world. www.nature.com/articles/d41...

nature.com

My ‘woke DEI’ grant has been flagged for scrutiny. Where do I go from here?

My work in making artificial intelligence fair has been noticed by US officials intent on ending ‘class warfare propaganda’.

13813

Angelina Wang @ COLM @angelinawang.bsky.social · 17/03/2025

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.

34319

Reposted by Angelina Wang @ COLM

Nikhil Garg @nkgarg.bsky.social · 10/03/2025

*Please repost* @sjgreenwood.bsky.social and I just launched a new personalized feed (*please pin*) that we hope will become a "must use" for #academicsky. The feed shows posts about papers filtered by *your* follower network. It's become my default Bluesky experience bsky.app/profile/pape...

23535299

Reposted by Angelina Wang @ COLM

Anastasia Koloskova @koloskova.bsky.social · 06/03/2025

I am excited to announce that I will join the University of Zurich as an assistant professor in August this year! I am looking for PhD students and postdocs starting from the fall. My research interests include optimization, federated learning, machine learning, privacy, and unlearning.

1285

Reposted by Angelina Wang @ COLM

Molly Jong-Fast @mollyjongfast.bsky.social · 26/02/2025

Cutting $880 billion from Medicaid is going to have a lot of devastating consequences for a lot of people

1994307416856

Reposted by Angelina Wang @ COLM

Leah Greenberg ❌👑 @leahgreenberg.bsky.social · 16/02/2025

the richest man in the world has decided that your kids don't deserve special education programs

A screenshot of an email notifying Spotsylvania parents that funding for a program for youth with disabilities has been canceled

339105784644

Angelina Wang @ COLM @angelinawang.bsky.social · 17/02/2025

Our new piece in Nature Machine Intelligence: LLMs are replacing human participants, but can they simulate diverse respondents? Surveys use representative sampling for a reason, and our work shows how LLM training prevents accurate simulation of different human identities.

914935

Reposted by Angelina Wang @ COLM

Kevin Feng @kjfeng.me · 23/12/2024

📢📢 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

A poster advertising the first workshop on sociotechnical AI governance with a description of the workshop's core themes and faces of the organizers.

24517

Reposted by Angelina Wang @ COLM

sorelle @friedler.net · 14/11/2024

Ok #FAccT folks - I'm still looking around for people. Who am I missing? go.bsky.app/EQF5Ne1

255818

Angelina Wang @ COLM @angelinawang.bsky.social · 11/11/2024

There are numerous leaderboards for AI capabilities and risks, for example fairness. In new work, we argue that leaderboards are misleading when the determination of concepts like “fairness” is always contextual. Instead, we should use benchmark suites.

162