For @brookings.edu, three members of our Task Force on AI wrote about the need for state-level regulation of AI use for criminal justice. More 👇 from @alexchohlaswood.com @chiraagbains.bsky.social, and Katie Kinsey (@policingproject.bsky.social) www.brookings.edu/articles/sta...

States can—and should—regulate AI in criminal justice | Brookings

States should set guardrails around AI use in criminal justice, but an executive order from President Trump threatens to chill such efforts.

brookings.edu

Alex Chohlas-Wood@alexchohlaswood.com · 4mo ago

In an age of rapidly evolving AI, we are *just* starting to learn how we can properly regulate these powerful new technologies. While many new regulations will be well-intended, we won't know what really works until we try many different approaches.

In an age of rapidly evolving AI, we are *just* starting to learn how we can properly regulate these powerful new technologies. While many new regulations will be well-intended, we won't know what really works until we try many different approaches.

.@counciloncj.org just released a comprehensive guide to help justice agencies make the right decision about whether and how to adopt AI. This guide reflects many productive discussions we've had on the Task Force for AI over the last year—kudos to CCJ for distilling this into a practical guide!

Council on Criminal Justice@counciloncj.org · 4mo ago

As criminal justice agencies and practitioners face urgent questions about how to effectively and safely adopt AI tools, CCJ's Task Force on AI released a new decision guide to help stakeholders evaluate, implement, and oversee AI in the justice system. counciloncj.org/assessing-ai...

How can AI improve the New York Police Department and the justice system as a whole? A perspective from CCJ Task Force on AI member @alexchohlaswood.com in @vitalcitynyc.bsky.social explores the potential opportunities, and risks, of the new technology: www.vitalcitynyc.org/how-to-deplo...

How To Deploy AI To Improve Policing in New York

Powerful new technology has the potential to improve the City’s justice system, but to get it right, the NYPD has to address serious risks.

vitalcitynyc.org

Police departments nationwide are racing to adopt AI. Yet the NYPD hasn't permanently adopted a new AI tool since 2016.* That stagnation is a choice. And it's NYC's most vulnerable residents who pay the price. In @vitalcitynyc.bsky.social this week, I lay out a better path forward. (Link below)

In January, the NYPD said it would put two officers on every late-night subway car in New York City. How can we know whether the NYPD kept its promise?

The Computational Policy Lab is growing! We’re hiring software engineers to build technology that makes government, education, and social programs more fair, effective, and data-driven. Know someone who'd be a great fit? Learn more: careers.harvard.edu/job/software...

Software Engineer

careers.harvard.edu

Have you ever forgotten an important date—like a birthday for a loved one? Now imagine if forgetting meant ending up in jail. Two years ago, we ran a randomized experiment that found that text message reminders reduce jail stays for missed court dates by over 20%.

The ASA's Law & Justice Statistics committee is hosting an upcoming webinar featuring George Mohler. Join us on September 30 from 1–1:30pm ET! Register here: amstat.zoom.us/webinar/regi...

Calling all professors—we're enrolling new courses in our ongoing randomized study of AI in education! Get free access to a customized virtual tutor, and receive an honorarium at the end of the semester if you participate. Details below.

Computational Policy Lab at Harvard Kennedy School@comppolicylab.bsky.social · last yr.

Instructors at 2- and 4-year colleges! Give your students free access to a virtual tutor optimized for learning by taking part in our study on using AI to improve education. Instructors receive a $1,000 honorarium. Apps received by 8/8 receive priority: pingpong.hks.harvard.edu/eduaccess

Come join us and teach a great class this fall!

Daphna Harel@daphna.bsky.social · last yr.

NYC-based people - I'm looking for an adjunct instructor to teach an undergraduate course *this fall* at NYU called Power and Politics of Data. There's a lot of flexibility in what the course could look like, but I'm also happy to share ideas and the job ad. DM me if you think you're interested.

Great article about our work using generative AI to help prosecutors make race-blind charging decisions across California and beyond: www.law360.com/articles/235...

Job alert! We're hiring a clinical (teaching-based) Assistant Professor of Applied Statistics for Social Science Research at NYU! Application review begins on February 10, and the position would start on September 1. Apply here: apply.interfolio.com/162021

Yes to evaluating the *outcomes* of these systems rather than as a standalone algorithm! This is something that's been bothering me for a while about ML assisted decisions

NEW in Management Science! My coauthors and I came up with a new consequentialist approach to designing equitable algorithms. Instead of imposing fairness criteria on an algorithm (like equal false negative rates), we aim for good outcomes. More in the 🧵 below! (1/)

Professor of Computational Social Science, T/TT and open rank Share this opportunity with your networks: apply.interfolio.com/160603 #AcademicSky #phdjobs #socjobs #ejme #econjobmarket #poliscijobs #computationalsocialscience #politicalscience #economics #sociology #AbuDhabi

The use of race in clinical risk models is heavily debated. While race-aware models can be more accurate, some are concerned about reinforcing racialized views of medicine. In our paper, we offer a new perspective on this debate. 🧵👇https://annals.org/aim/article/doi/10.7326/M23-3166

In AI research, more and more of the action seems to be taking place above the foundation model layer and is closer to applications / people / societal impact. This kind of research strongly benefits from interdisciplinary thinking (though not all AI researchers have recognized the shift yet!)

We built a starter pack (a work in progress) of some people who know a lot about New York City policy — and assorted others of interest. go.bsky.app/FCDEhhc

🔬 Major new findings on STEM gender gaps: Looking across institutions over time, physics, engineering & computer science (PECS) show stark divides—gaps are closing at selective colleges but widening elsewhere. w/ @joalkhafajiking.bsky.social [<--🌟 on the job market 😉] www.science.org/doi/10.1126/...

An institution-level analysis of gender gaps in STEM over time

Gender gaps in engineering and computer science narrow at math-selective schools and widen in others

science.org

PSA: to post to CSS feed, now use "compsocsci" rather css (we were getting all mixed in with the comicssky people ! bsky.app/profile/cbar...

Instructors at 2- and 4-year colleges! Give your students free access to a virtual tutor optimized for learning by taking part in our study on using AI to improve education. Instructors receive a $1,000 honorarium. Sign up by Dec. 16! pingpong.hks.harvard.edu/eduaccess

If you want to be rewarded with a surprise when your R script finishes running, try adding this at the end:

One month left to apply to our new PhD program in statistics and computational social science. Come join me and my terrific colleagues in the heart of New York City!

PhD, Statistics and Computational Social Science

Learn statistical, computational, and social science theory and practice to address problems of social importance in public health, education, criminal justice, and other domains.

steinhardt.nyu.edu

The Stanford Report just featured our research on using automated reminders to reduce pretrial incarceration — alongside two other terrific Stanford Impact Labs funded efforts thinking about how to achieve both research impact and social impact!

Stanford Impact Labs applies research insights to society’s most pernicious problems - Stanford Re...

Stanford Impact Labs is taking a collaborative approach to address some of the biggest issues facing the world and society today.

news.stanford.edu

We are working on two new experiments at the Santa Clara Public Defender Office. Check out this piece from Stanford Impact Labs to learn more! I'm so glad my colleague Sarah at the public defender was included to explain why this research is important to her. impact.stanford.edu/article/can-...

Can Technology Play a Role in Reducing Pretrial Incarceration?

With funding from Stanford Impact Labs, Stanford's Computational Policy Lab partners with the Santa Clara County Public Defender's Office to test the effectiveness of text message reminders for court ...

impact.stanford.edu

I forgot to add a #cssky tag! 💙🌌

Alex Chohlas-Wood@alexchohlaswood.com · 3y ago

In a new randomized experiment at the Santa Clara County Public Defender Office, my colleagues and I found that text message reminders reduce *incarceration* for missed court dates by over 20%! More in the 🧵 below. alexchohlaswood.com/assets/paper... 1/11

In a new randomized experiment at the Santa Clara County Public Defender Office, my colleagues and I found that text message reminders reduce *incarceration* for missed court dates by over 20%! More in the 🧵 below. alexchohlaswood.com/assets/paper... 1/11