The World Law Bulletin is a monthly publication of the Law Library of Congress that reports on significant or interesting legal developments in countries around the world.
For its own peculiar reasons, the Law Library has declined to make this serial available to the public. (In response to insistent pleas, a derivative publication called the Global Legal Monitor was created last year for public release.)
But now a collection of back issues of World Law Bulletin, dating from October 2000 to March 2006, has become publicly available through alternate channels.
Its most enduring value may be in the legal responses to terrorism that are described in the months following September 2001. But the Bulletin also contains all kinds of legal odds and ends that one is unlikely to encounter elsewhere. (“Latvian lawmakers adopted a resolution that imposes weight limits on children’s school bags following a study which concluded that 60 percent of Latvian students have posture problems.”)
Copies of the World Law Bulletin dating from July 2001 to April 2005 were obtained by Michael Ravnitzky who kindly shared them.
The whole collection may be found here.
Americans are paying too much for almost everything, because the United States has long treated its trucking industry as an artifact to be preserved rather than as an opportunity for innovation.
These ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.
The evidence is clear: algorithmic pay-setting is established in app-based work, and payroll/timekeeping failures show how software can produce systemic wage harm at scale
While a few states have taken steps to implement decision-making mechanisms for certain AI systems, too many leaders are simply accepting narratives about AI’s purported public benefit at face value – jumping to the “how” of AI implementation before thoroughly vetting potential systems and deciding whether they are appropriate to use at all.