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BEGIN:VEVENT
DTSTAMP:20260503T005824Z
DTSTART;VALUE=DATE-TIME:20240314T111500
DTEND;VALUE=DATE-TIME:20240314T123000
SUMMARY:PEPE Seminar - Lena Song (UIUC)
TZID:Europe/London
UID:20240314-8a1785d7894966020189633f1cb35124@warwick.ac.uk
CREATED:20240307T095313Z
DESCRIPTION:Title: Making Public Law: Artificial Intelligence for Legal A
 ccessibility and Judicial Legitimacy (joint with Elliott Ash\, Aniket Ke
 sari\, Suresh Naidu\, and Dominik Stammbach) Abstract: Laws have increas
 ingly become difficult for the public to understand due to their complex
 ity and the decline in trusted legal journalism. We build a novel AI-pow
 ered legal summarizer to produce easy-to-read summaries of the reasoning
  in judicial opinions. We study the effects of these summaries in three 
 related experiments. First\, we show in a survey experiment that\, compa
 red to existing expert-written summaries\, AI-generated simple summaries
  of U.S. Supreme Court judicial opinions are more accessible to the publ
 ic and more easily understood by non-experts. They help respondents unde
 rstand the key features of a ruling\, and have higher perceived quality\
 , especially for respondents with less formal education. Second\, we stu
 dy how these summaries affect policy attitudes and institutional legitim
 acy in a large-scale survey experiment around the release of the affirma
 tive action decision in June 2023. While the summaries enhance understan
 ding of judicial opinions across issues\, they have mixed effects on the
  acceptance of court decisions. Finally\, we explore the effect of these
  summaries on public discourse in a social media experiment.
LOCATION:S2.79
CATEGORIES:Political Economy and Public Economics Seminar
LAST-MODIFIED:20240307T095313Z
ORGANIZER;CN=Gill Gudger:
END:VEVENT
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