Here is a poster I presented today at the Human-AI Complementarity workshop hosted by the NSF #AI Institute for Societal Decision Making You can read the latest version of the paper here: www.rafaelmbatista.com/jmp/ This is joint work with the wonderful @jamesross0.bsky.social

Saw Ben presenting this today. It’s really neat work. Ben is finishing up his PhD at Cornell (advised by Jon Kleinberg) and is currently on the job market

This is quite clever and useful (read the full thread + the paper). I think/hope it opens up the path to a parallel study of their evolution on the epistemic/semantic space (i.e. what things they get better/worse at over time, what the utility gradients... 1/ via @tedunderwood.me

In a new paper with @didaoh and Jon Kleinberg, we mapped the family trees of 1.86 million AI models on Hugging Face — the largest open-model ecosystem in the world. AI evolution looks kind of like biology, but with some strange twists. 🧬🤖

I am finding that AI chatbots and language models are rapidly changing my own personal research practices – and my own ethical judgments about the appropriateness of the use of AI.

Excited to speak at Princeton @princetoncitp.bsky.social next week!

I'm hiring for a machine learning data scientist & research assistant for summer 2025! Join me on a project on invasive species management with an innovative startup doing on-the-ground removal of environmentally destructive invasive animals. Paid, full-time w/ possibility to extend.

4) The “most common dog” in NYC is a Yorkshire Terrier named Bella. Jack Russel Terriers are often “Jack” and Charles Spaniels “Charlie.” Huskies are always named Luna—the reason for which is unclear (?).

This was a lot of fun

I am in Boston, excited to give a talk at northeastern tomorrow 11am! “Regulation along the AI Development Pipeline for Fairness, Safety and Related Goals”

(1/n) New paper/code! Sparse Autoencoders for Hypothesis Generation HypotheSAEs generates interpretable features of text data that predict a target variable: What features predict clicks from headlines / party from congressional speech / rating from Yelp review? arxiv.org/abs/2502.04382

Please repost to get the word out! @nkgarg.bsky.social and I are excited to present a personalized feed for academics! It shows posts about papers from accounts you’re following bsky.app/profile/pape...

We have a new review on generative AI in medicine, to appear in the Annual Review of Biomedical Data Science! We cover over 250 papers in the recent literature to provide an updated overview of use cases and challenges for generative AI in medicine.

🪩New paper🪩 (WIP) appearing at @neuripsconf.bsky.social Regulatable ML and Algorithmic Fairness AFME workshop (oral spotlight). In collaboration with @s010n.bsky.social and Manish Raghavan, we explore strategies and fundamental limits in searching for less discriminatory algorithms.

* Emerging scholars — a 2-year staff position in tech policy for candidates who have Bachelor’s degrees. It's an unusual program that combines classes, 1-on-1 mentoring, and work experience with real-world impact. Apply by Jan 10. citp.princeton.edu/programs/cit...

📢NEW: 'Open' AI systems aren't open. The vague term, combined w frothy AI hype is (mis)shaping policy & practice, assuming 'open source' AI democratizes access & addresses power concentration. It doesn't. @smw.bsky.social, @davidthewid.bsky.social & I correct the record👇 nature.com/articles/s41...

howdy! the Georgetown Law Journal has published "Less Discriminatory Algorithms." it's been very fun to work on this w/ Emily Black, Pauline Kim, Solon Barocas, and Ming Hsu. i hope you give it a read — the article is just the beginning of this line of work. www.law.georgetown.edu/georgetown-l...

genAI has made us more suspicious that emails, cover letters, artworks, etc. are produced by AI. this shift forces us to change our behavior in order to prove our human-ness: a "burden of authenticity". waking my account up to share a recent blog post on the subject: rajivmovva.com/2024/11/08/g...

I passed my “A Exam” yesterday meaning I am officially a “PhD Candidate” rather than a “PhD Student.” (Huge title change, I know.) Thanks to everybody who has supported me along the way!

Hey! @friedler.net made a FAccT starter pack: bsky.app/starter-pack...

Hi to my new connections. Is Bluesky taking off? I’m excited!!

In a new essay for @knightcolumbia.org with Helen Nissenbaum, we offer an account of what's wrong with social media, and what's at stake. We also discuss generative AI and, broadly, the problems posed by untrustworthy algorithmic systems.

Great paper! "…algorithmic amplification is problematic because...it chokes out trustworthy processes that we have relied on for guiding valued societal practices and for selecting, elevating, and amplifying content” via @laufer.bsky.social, Helen Nissenbaum knightcolumbia.org/content/algo...

I am in Boston giving a talk tomorrow at Harvard’s EconCS seminar (1:30pm). The talk is on genAI/ML technologies billed as "general-purpose". I'll discuss: which purposes, why and how? It's ongoing work with Hoda Heidari and Jon Kleinberg. HMU if you're around to meet, etc!

Recently migrated colleagues: I’m on the job market! I’ll have a PhD from Cornell IS in 2024. My lab will explore how tenets of social responsibility can be realized in computer science + engineering. I’m open to TT faculty positions and research-oriented industry roles. More about me: emtseng.me

Not sure who is on here these days, but I wrote a thing! Even for those determined to look far into the future, it's critically important to engage with what we're seeing now with AI & it's most urgent impacts. Too often, that complex reality is simply ignored! www.theatlantic.com/technology/a...

New paper from Pratyusha Ria Kalluri, William Agnew, Myra Cheng, Kentrell Owens, Luca Soldaini, & I! The Surveillance AI Pipeline: arxiv.org/abs/2309.15084 We unearth how computer vision research powers Surveillance AI through analysis of 3 decades of CV papers from CVPR & downstream patents 1

(Call for applications) History of Science, pre-1850, Assistant Professor, Department of History, Cornell University histoiresante.blogspot.com/2023/09/post... #histSTM

Talk of AI regulation has certainly ramped up this summer! In a paper now out in Penn Law Review, s010n.bsky.social and I explain why the intervention by the Federal Trade Commission to address AI discrimination would be both useful and legal. ssrn.com/abstract_id=... A 🧵from Solon and me… 1/

*Jobs!* Cornell Information Science is running three searches this year :D In Ithaca, human-AI interaction: academicjobsonline.org/ajo/jobs/25656   In NYC, ethics/law/policy: academicjobsonline.org/ajo/jobs/25657   In Ithaca, lecturers in any area: academicjobsonline.org/ajo/jobs/25658 /\/\/\/\/