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Have a Meta business account? You're consenting to AI scraping now, legal experts say

ZDNet

Our gifting experts are obsessively searching for holiday gifts that are unique, thoughtful and suitable for any budget. Have a Meta business account? You're consenting to AI scraping now, legal experts say Nina Raemont is ZDNET's Health and Wearables Editor based in New York City. Meta Business Suite's new terms allow web-crawling on publication sites, legal experts say. The change goes into effect on Oct. 30.


Have a Meta business account? You're consenting to AI scraping now, legal experts say

ZDNet

Our gifting experts are obsessively searching for holiday gifts that are unique, thoughtful and suitable for any budget. Have a Meta business account? You're consenting to AI scraping now, legal experts say Nina Raemont is ZDNET's Health and Wearables Editor based in New York City. Meta Business Suite's new terms allow web-crawling on publication sites, legal experts say. The change goes into effect on Oct. 30.


OpenAI Is Opening the Door to Government Spying

The Atlantic - Technology

Outside OpenAI's headquarters, a handful of people gathered on Monday holding pieces of colorful chalk. They got down on their knees and started writing messages on the sidewalk. Please no legal mass surveillance. At issue was a business deal that the company recently signed with the Department of Defense, following the Pentagon's sudden turn against Anthropic . OpenAI will now supply its technology to the military for use in classified settings, the sorts that may involve wartime decisions and intelligence-gathering--an agreement, many legal experts told me, that could give the government wide-ranging powers.




What legal experts say about second US strike on Venezuela boat

BBC News

Several legal experts have told BBC Verify that the second strike on an alleged Venezuelan drug boat by the US military was probably illegal, and would likely be considered an extrajudicial killing under international law. On Monday, the Trump administration confirmed that a follow-up strike on the boat - which has been criticised as a double tap - was ordered by US Navy Admiral Frank Bradley with the overall operation having been authorised by War Secretary Pete Hegseth. Nine people died in the first strike on the vessel and two survivors were left clinging to the burning wreckage when it was struck again, killing them, according to the Washington Post. A US official has said four missiles were used in the operation. The Trump administration has not denied there were survivors and has insisted the strikes on 2 September were in accordance with the law of armed conflict.


'Legacies condensed to AI slop': OpenAI Sora videos of the dead raise alarm with legal experts

The Guardian

After launching in October in the US and Canada via invitation only, OpenAI's video app, Sora 2, hit 1m downloads in just five days. After launching in October in the US and Canada via invitation only, OpenAI's video app, Sora 2, hit 1m downloads in just five days. The video app can produce realistic deepfakes of Marx shopping and MLK Jr trolling. Some say using'historical figures' is the company's way of testing the legal waters L ast night I was flicking through a dating app. One guy stood out: "Henry VIII, 34, King of England, nonmonogamy".




$\textit{Grahak-Nyay:}$ Consumer Grievance Redressal through Large Language Models

arXiv.org Artificial Intelligence

Access to consumer grievance redressal in India is often hindered by procedural complexity, legal jargon, and jurisdictional challenges. To address this, we present $\textbf{Grahak-Nyay}$ (Justice-to-Consumers), a chatbot that streamlines the process using open-source Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Grahak-Nyay simplifies legal complexities through a concise and up-to-date knowledge base. We introduce three novel datasets: $\textit{GeneralQA}$ (general consumer law), $\textit{SectoralQA}$ (sector-specific knowledge) and $\textit{SyntheticQA}$ (for RAG evaluation), along with $\textit{NyayChat}$, a dataset of 300 annotated chatbot conversations. We also introduce $\textit{Judgments}$ data sourced from Indian Consumer Courts to aid the chatbot in decision making and to enhance user trust. We also propose $\textbf{HAB}$ metrics ($\textbf{Helpfulness, Accuracy, Brevity}$) to evaluate chatbot performance. Legal domain experts validated Grahak-Nyay's effectiveness. Code and datasets will be released.