(I know you said redacted, we were trying to figure out if we could do both.)

We explored doing this in NC last year, riffing on the RegLab project (and complementing some cool human-led efforts). We just couldn’t find a good path to actually get the covenants removed, rather than just redacted. Also got worried that someone might try to overturn Shelley.

I read this book in like 2013 and I think about it at least once a week.

Engineering Director - Digital Services (0932) The Office of the City Administrator and its 25+ divisions and departments operate core internal and public-facing services in San Francisco.   The Office of the City Administrator’s Mission and Visio...

hallo, I am hiring again! - SF Digital Services is looking for a new Engineering Director careers.sf.gov/role/?id=374...

This reports directly to me, & I’m looking for a practical & flexible technical expert with excellent communication & coaching skills, who is excited to do both. More below...

Feels like the inevitable next step is one of these things getting run through PimEyes or Clearview.

Excited to (finally!) publicly share the output of an AI audits class I taught last spring: an audit of Legal Aid of North Carolina’s LIA tool. As far as I know, it’s one of the first audits of its kind in the access to justice space.

law.duke.edu/sites/defaul...

PS - more from us soon: more audits, some reflections on how to run it, maybe some tools to make running them easier. If you’re a court or nonprofit who wants to partner, reach out.

Finally, super grateful to LANC for allowing this to be released publicly. I hope that releasing this audit publicly is a step towards transparency and shared learning in the space.

Fair warning: the report is a long document with a lot of findings, covering the first five months of LIA's deployment. And it shouldn’t be read as a generalizable benchmark. Rather, this is the study of a single product at a moment in time.

Excited to (finally!) publicly share the output of an AI audits class I taught last spring: an audit of Legal Aid of North Carolina’s LIA tool. As far as I know, it’s one of the first audits of its kind in the access to justice space.

law.duke.edu/sites/defaul...

My latest, in @technologyreview.com

My latest, in @technologyreview.com

The #DATALab in the Philadelphia District Attorney's Office is requesting proposals for research that meets the moment to support in 2025.

Please read more via link below and consider applying or sharing in your networks:

mailchi.mp/phila/resear...

Defer no time... Email me with any Qs.

Why Do People Fall for a Fake Robot Lawyer? | TechPolicy.Press Keith Porcaro argues we don’t need a superintelligent robot to repair trust in the law. We just need to redesign legal institutions for a low-lawyer reality.

"Look hard enough, and you can imagine a just legal system that just needs fewer lawyers. Otherwise, ordinary people will continue to seek out robot lawyers, quality be damned. They’ll continue to believe that the law is not meant for them. And they’ll be right." - @porca.ro

A screenshot of two headlines on Wired: “OpenAI is working with Anduril to supply the US military with AI” and “AI-powered robots can be tricked into acts of violence”

Oh.

1000s of papers on “AI fairness” and this is the actual reality of how algorithms harm people.

Out now in Duke Law & Tech Review: “Gray Advice”. It’s about how people really get legal and health advice online, what could go wrong, and how we could make those services just a bit more trustworthy.

scholarship.law.duke.edu/cgi/viewcont...

Out now in Duke Law & Tech Review: “Gray Advice”. It’s about how people really get legal and health advice online, what could go wrong, and how we could make those services just a bit more trustworthy.

scholarship.law.duke.edu/cgi/viewcont...

Why Do People Fall for a Fake Robot Lawyer? | TechPolicy.Press Keith Porcaro argues we don’t need a superintelligent robot to repair trust in the law. We just need to redesign legal institutions for a low-lawyer reality.

@keithporcaro.bsky.social argues that fake robot lawyers prey on the desperate. Repairing people's trust in the law doesn't need superintelligence; it just needs legal institutions redesigned for a low-lawyer reality.