<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>LLM 著作権対策 on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/llm-%E8%91%97%E4%BD%9C%E6%A8%A9%E5%AF%BE%E7%AD%96/</link><description>Recent content in LLM 著作権対策 on Negi AI Lab</description><image><title>Negi AI Lab</title><url>https://ai.negi-lab.com/images/og-default.png</url><link>https://ai.negi-lab.com/images/og-default.png</link></image><generator>Hugo -- 0.154.5</generator><language>ja</language><lastBuildDate>Sun, 04 Oct 2026 23:39:00 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/llm-%E8%91%97%E4%BD%9C%E6%A8%A9%E5%AF%BE%E7%AD%96/index.xml" rel="self" type="application/rss+xml"/><item><title>LLMの「忘れさせる」技術が実用化へ：AAAI-26で議論されるMachine Unlearningの衝撃</title><link>https://ai.negi-lab.com/posts/llm-machine-unlearning-aaai26-breakthrough/</link><pubDate>Sun, 04 Oct 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/llm-machine-unlearning-aaai26-breakthrough/</guid><description>LLMから特定の個人情報や著作権データを効率的に削除する「Machine Unlearning（機械忘却）」の研究がAAAI-26で大きな転換点を迎えまし...</description></item></channel></rss>