Negative users criticize the PNAS special feature on AI and law because generative AI still hallucinates case law and should ship real standards instead of demos.
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The papers address AI safety, copyright, and algorithmic fairness.
@chrmanning @msurd @nmramesh @LexMachina I read Manning's paper back in 2008. AI is still hallucinating case law today. Enough demos. Ship real standards first.
I first embarked on work at the boundary of NLP and Law around 2008, with @msurd, @nmramesh, Josh Walker, George Gregory, & Mark Lemley. We wrote papers like: https://aclanthology.org/D08-1046/ , launched a startup, @LexMachina, and our data contributed to discussion and reform of patenting during the @BarackObama administration: https://www.law.berkeley.edu/wp-content/uploads/2024/01/SOFTWARE-PATENTS-AND-THE-RETURN-OF-FUNCTIONAL-CLAIMING.pdf . But, overall, honestly, very few people were interested in using empirical AI/ML/NLP techniques to study Law around 2010…. It’s wonderful to see how things have changed and grown during the last 15 years! Especially the last 5.
Excellent move !! Generalist journals need to embrace empirical work on AI and Law
Negative users criticize the PNAS special feature on AI and law because generative AI still hallucinates case law and should ship real standards instead of demos.
Based on 1 visible X reactions from 1 accounts; directional sample.
Ask a question below.
Published answers will appear here.