Twitter hack sees 200 million user email addresses leaked, researcher says
WSJ: Citadel’s Ken Griffin Sues IRS Over Leak Of Tax Return Info To ProPublica
Joondeph: Remote Work And State Taxation Of Nonresident Employees
WSJ: Why So Many Accountants Are Quitting
2022 Man Of The Year: Judge James Ho
Should The Federal Government Help States And Local Governments Pay For Police Misconduct Through Tax-Exempt Bonds?
Hagan, Margaret, The Supply and Demand of Legal Help on the Internet (October 17, 2022). Margaret D. Hagan “The Supply and Demand of Legal Help on the Internet,” Legal Tech and the Future of Civil Justice, edited by David Freeman Engstrom. Cambridge University Press, Forthcoming., Available at SSRN: https://ssrn.com/abstract=4250390
“Faith in technology as a way to narrow the civil justice gap has steadily grown alongside an expanding menu of websites offering legal guides, document assembly tools, and case management systems. Yet little is known about the supply and demand of legal help on the internet. This chapter mounts a first-of-its-kind effort to fill that gap by measuring website traffic across the mix of commercial, court-linked, and public interest websites that vie for eyeballs online.
Follow up to previous post – NYC education department blocks ChatGPT on school devices, networks – via The Verge: “One of the world’s most prestigious machine learning conferences has banned authors from using AI tools like ChatGPT to write scientific papers, triggering a debate about the role of AI-generated text in academia. The International Conference on Machine Learning (ICML) announced the policy earlier this week, stating, “Papers that include text generated from a large-scale language model (LLM) such as ChatGPT are prohibited unless the produced text is presented as a part of the paper’s experimental analysis.” The news sparked widespread discussion on social media, with AI academics and researchers both defending and criticizing the policy. The conference’s organizers responded by publishing a longer statement explaining their thinking. (The ICML responded to requests from The Verge for comment by directing us to this same statement.)…”
See also The Guardian – AI-assisted plagiarism? ChatGPT bot says it has an answer for that. “Silicon Valley firm insists its new text generator, which writes human-sounding essays, can overcome fears over cheating.”
What social media regulation could look like: Think of pipelines, not utilities – Elon Musk’s takeover of Twitter, and his controversial statements and decisions as its owner, have fueled a new wave of calls for regulating social media companies. Elected officials and policy scholars have argued for years that companies like Twitter and Facebook – now Meta – have immense power over public discussions and can use that power to elevate some views and suppress others. Critics also accuse the companies of failing to protect users’ personal data and downplaying harmful impacts of using social media.
As an economist who studies the regulation of utilities such as electricity, gas and water, Theodore Kury, Director of Energy Studies at the University of Florida’s Public Utility Research Center, wonders what that regulation would look like. There are many regulatory models in use around the world, but few seem to fit the realities of social media. However, observing how these models work can provide valuable insights.
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