Топ-10 конкурентов law.seattleu.edu

law.uw.edu

The University of Washington School of Law is a top-ranked public law school.

law.unlv.edu

Welcome!The Frank A. Schreck Gaming Law Moot Court Competition is hosted by William S. Boyd School of Law's Society of Advocates Moot Court Competition Team, and the UNLV Gaming Law Journal.

law.gmu.edu

Scalia Law offers students unmatched professional, educational, and cultural opportunities in Washington, D.C. and Northern Virginia.

law.illinois.edu

General What are the dates of the program? The College of Law’s academic calendar is available here. If you start in Fall, the mandatory Law 500: Grad Legal Writing and Research course will take place three weeks before the first day of instruction. Do you offer a part-time or online program? No, Illinois’s Master of Laws (LL.M.) is an in-person…

lsac.org

start your law school journey with lsac, a not-for-profit organization committed to promoting quality, access, and equity in law and education.

usnews.com

US News is a recognized leader in college, grad school, hospital, mutual fund, and car rankings. Track elected officials, research health conditions, and find news you can use in politics, business, health, and education.

wsba.org

the washington state bar association's home on the internet. our newly redesigned site offers information on becoming a licensed legal professional in washington and member benefits.

mjlr.org

Algorithmic accountability law—focused on the regulation of data-driven systems like artificial intelligence (AI) or automated decision-making (ADM) tools—is the subject of lively policy debates, heated advocacy, and mainstream media attention. Concerns have moved beyond data protection and individual due process to encompass a broader range of group-level harms such as discrimination and modes of democratic participation. While a welcome and long overdue shift, the current discourse ignores systems like databases, which are viewed as technically “rudimentary” and often siloed from regulatory scrutiny and public attention. Additionally, burgeoning regulatory proposals like algorithmic impact assessments are not structured to surface important –yet often overlooked –social, organizational, and political economy contexts that are critical to evaluating the practical functions and outcomes of technological systems. This Article presents a new categorical lens and analytical framework that aims to address and overcome these limitations. “Suspect Development Systems” (SDS) refers to: (1) information technologies used by government and private actors, (2) to manage vague or often immeasurable social risk based on presumed or real social conditions (e.g. violence, corruption, substance abuse), (3) that subject targeted individuals or groups to greater suspicion, differential treatment, and more punitive and exclusionary outcomes. This framework includes some of the most recent and egregious examples of data-driven tools (such as predictive policing or risk assessments), but critically, it is also inclusive of a broader range of database systems that are currently at the margins of technology policy discourse. By examining the use of various criminal intelligence databases in India, the United Kingdom, and the United States, we developed a framework of five categories of features (technical, legal, political economy, organizational, and social) that together and separately

korematsuinstitute.org

MEDIA Error Before Us: The Coram Nobis Cases Movie In October 2023, the Fred T. Korematsu Institute commemorated the 40th anniversary of the coram nobis cases of Fred Korematsu, Gordon Hirabayashi, and Minoru Yasui in San Francisco. Watch the short film, honoring the coram nobis team members and the case. https://vimeo.com/manage/videos/1104270544 Summary of the Coram […]

jonathanhaidt.com

Talks, podcasts, and public conversations on technology, childhood, mental health, education, democracy, and moral psychology.