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#000000\">\u3064\u307e\u308a\u3001\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8 AI \u306f\u5909\u9769\u306e\u53ef\u80fd\u6027\u3092\u79d8\u3081\u3066\u3044\u308b\u3082\u306e\u306e\u3001\u73fe\u5b9f\u4e16\u754c\u306e\u30b7\u30b9\u30c6\u30e0\u3078\u306e\u7d71\u5408\u3092\u78ba\u5b9f\u306b\u5b88\u308b\u305f\u3081\u306b\u306f\u3001\u4eba\u9593\u306e\u8aac\u660e\u8cac\u4efb\u304c\u4f9d\u7136\u3068\u3057\u3066\u4e0d\u53ef\u6b20\u3067\u3042\u308b\u3068\u3044\u3046\u3053\u3068\u3067\u3059\u3002.\u00a0<\/span><\/p>\n<p><span style=\"color: #000000\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span style=\"color: #000000\"><b>\u30bd\u30fc\u30b9\uff1a<\/b>\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/www.wired.com\/story\/ai-agents-legal-liability-issues\/\"><span data-contrast=\"none\">https:\/\/www.wired.com\/story\/ai-agents-legal-liability-issues\/<\/span><\/a><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>As agentic AI systems grow more sophisticated and autonomous, developers and legal experts alike are grappling with a central concern: who is responsible when these AI agents make mistakes? Companies like Microsoft, Google, and Amazon are racing to build multi-agent AI frameworks capable of performing complex tasks independently, with limited human oversight. While this shift promises efficiency and cost savings, it introduces significant legal and ethical ambiguities.\u00a0 Jay Prakash Thakur, a Microsoft engineer and independent AI developer, has been experimenting with Microsoft&#8217;s AutoGen and other agent development tools. His multi-agent prototypes demonstrate both potential and risk. In one example, a summarization agent omitted a critical condition while parsing service terms, [&hellip;]<\/p>","protected":false},"author":238283293,"featured_media":113691,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","inline_featured_image":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1584],"tags":[],"class_list":["post-113689","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-enthusiast"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.4 (Yoast SEO v27.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Who\u2019s to Blame When AI Agents Screw Up? - Eastgate Software<\/title>\n<meta name=\"description\" content=\"As agentic AI systems grow more sophisticated and autonomous, developers and legal experts alike are grappling with a 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