🎉 “The Cadaver in the Machine” has received a Best Paper Honorable Mention at #CHI2024 !! 🎉 Hauke Sandhaus Abigail Jacobs Emanuel Moss Dr. Mona Sloane

Love seeing Abigail Jacobs work assessing human body-related data used to build AI covered here ... to be presented soon at ACM CHI Conference.

Like many AI data related problems, there is time to redirect, recalibrate.

Don't believe hype that there isn't time. spectrum.ieee.org/motion-capture…

📣New! Edited by Ranjit Singh, Jenna Burrell, PhD, and Patrick Davison, “Keywords of the Datafied State” is a collection of essays on concepts that are central to understanding the relationship between the government, technology, and data. 1/6 datasociety.net/library/keywor…

I'm excited to share that the journal version of our paper, 'An archival perspective on pretraining data', is now available (open access) from Patterns!

This project was led by Meera Desai, along with Irene Pasquetto, Abigail Jacobs, and myself

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'Gold standard' motion-capture data that's being used to build all sorts of #AI applications is based on old studies that focused on certain body types... and sometimes used dismembered cadavers. New research by Abigail Jacobs of UMICH - Center for the Study of Complex Systems and School of Information. spectrum.ieee.org/motion-capture…

Prof. Abigail Jacobs from School of Information who studies inequality in sociotechnical systems is one of the 2024 Microsoft Research AI & Society fellows!

Summary of our paper 'An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature' is out now! Joint work with Abigail Jacobs Irene Pasquetto about algorithmic fairness's role in race-making

Thanks to Montreal AI Ethics Institute for featuring our work!
montrealethics.ai/an-empirical-a…

🚨Postdoc Alert 🚨

The Computational Social Science group at Microsoft Research NYC is seeking a post doc researcher!

Join jake hofman David Rothschild 🌻 and Dan Goldstein for a spell and take your computational social science research game to the next level!

jobs.careers.microsoft.com/global/en/job/…

Omg Robin N. Brewer, Ph.D. Tina Lasisi, PhD are already changing the world 💙💛

I’m on the academic & industry job market! I work on reliable & efficient measurement in large-scale ML, publish in both ML + law/policy venues.

I’ll be at NeurIPS next week, please drop me a note if you’d like to meet up!

afedercooper.info
genlaw.org

UMSI’s Abigail Jacobs is co-leading a workshop on how to better manage risks of AI through sociotechnical approaches, Oct. 16-17 in Washington, D.C. “Operationalizing the Measure Function of the NIST AI Risk Management Framework”
CASMI - Northwestern University National Institute of Standards and Technology U.S. National Science Foundation TRAILS FAS is now @scientistsorg

So excited to co host this at GW University and GW Engineering with TRAILS, CASMI - Northwestern University, FAS is now @scientistsorg and Abigail Jacobs !

Congrats to Dr. Irena Chen Irena Chen for successfully defending her thesis on 'Joint Modeling of Individual-level Variances as Predictors of Health Outcomes'. 🙌🎉 Good luck to your postdoc at Max Planck. Loads of fun co-advising w/ Mike Elliott! Michigan Public Health Veera Baladandayuthapani Abigail Jacobs

@umichcs is hiring! Tenure track faculty member - in the Center for the Study of Complex Systems or joint between Complex Systems and another academic department or school at the University of Michigan.lsa.umich.edu/cscs/news-even… #hiring #complexsystemsjobs

Please join us tomorrow at the 1st Workshop on Generative AI + Law!

We’ve got an incredible line-up of speakers and papers at the intersection of issues in ML, intellectual property, and privacy! We’ll be in-person at ICML and streamed remotely.

genlaw.github.io

Excited to present our #SIGIR23 paper (dl.acm.org/doi/10.1145/35… ) with Abigail Jacobs, and Asia Biega today (July 24, 2pm TST) in-person!
Paper highlights in thread below:

TL;DR: We evaluate the role of relevance in fair ranking from an interdisciplinary perspective.
Measures to avoid unfair outcomes of rankings generated by online platforms often aim to distribute user attention or exposure in proportion to ranking worthiness or merit.

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Excited to share a summary of our #SIGIR2023 paper w/ Abigail Jacobs , & Asia Biega in the Montreal AI Ethics Institute newsletter and website!

Summary: montrealethics.ai/the-role-of-re…
Paper link: arxiv.org/pdf/2305.05608…
Huge thanks to Abhishek Gupta for the opportunity!

Many of the grant questions are taking pretty settled topics in AI ethics (absent very specific context, you should never identify someone's gender from an image) and reframing them as open for debate ('asking questions') by asking for 'democratic input':/ openai.com/blog/democrati…

Alg. fairness doesnt account for variance & needs to. Consider a simple example: Measuring variance by bootstrapping 10 models on COMPAS. Classifying recidivism for some individuals is so unstable, it's effectively a coin-flip, it's *arbitrary* arxiv.org/abs/2301.11562 (Ind. 2) 1/