[{"data":1,"prerenderedAt":28},["ShallowReactive",2],{"nr-en-eu-ai-act-extended-deadlines-high-risk-ai":3},{"slug":4,"title":5,"dek":6,"date":7,"time":8,"publishedAt":9,"updated":10,"updatedAt":10,"dateFmt":11,"updatedFmt":10,"kind":12,"tier":13,"author":14,"authorName":15,"topics":16,"tracker":21,"trackerLabel":22,"headlineStat":10,"image":23,"ogImage":24,"imageAlt":5,"csv":10,"minutes":25,"words":26,"html":27},"eu-ai-act-extended-deadlines-high-risk-ai","EU AI Act: More Time for Companies on High-Risk AI","With the so-called „AI Omnibus“, the EU extends certain implementation deadlines for high-risk AI. According to a trade article from Produktion Online, the extension does not release companies from preparing.","2026-10-12","16:41","2026-10-12T16:41:00+02:00","","October 12, 2026","news","standard","ideal-syka","Ideal Syka",[17,18,19,20],"EU AI Act","High-risk AI","AI compliance","AI regulation","\u002Feu-ai-act-fahrplan","EU AI Act Timeline","\u002Fnewsroom\u002Fimg\u002Feu-ai-act-extended-deadlines-high-risk-ai.webp","\u002Fog-nr\u002Feu-ai-act-extended-deadlines-high-risk-ai.en.png",1,230,"\u003Ch2>What is shifting\u003C\u002Fh2>\n\u003Cp>According to Produktion Online, the EU has extended certain deadlines for high-risk AI with the „AI Omnibus“, an amendment package to the AI Act. According to the article, affected are, among others, AI systems used in areas such as employment, education, critical infrastructure, or access to essential services. The article does not name specific new dates.\u003C\u002Fp>\n\u003Ch2>No all-clear\u003C\u002Fh2>\n\u003Cp>According to the article, written by Nick Payne of Confluent, companies gain more time to implement the requirements in practice. However, for some requirements it is still being specified how they should be implemented and how compliance should be demonstrated. The extra time should therefore not encourage waiting.\u003C\u002Fp>\n\u003Ch2>What the AI Act requires\u003C\u002Fh2>\n\u003Cp>According to the article, the AI Act sets requirements for high-risk AI including data quality, logging, technical documentation, human oversight, robustness, cybersecurity, and accuracy.\u003C\u002Fp>\n\u003Ch2>Assessment\u003C\u002Fh2>\n\u003Cp>The article argues that companies should first record where AI influences decisions, including in software from external vendors. They should also be able to trace, for important decisions, which system was involved and which data was available. If companies address these points early, the extended deadline could ease implementation. Whether this applies to a given organisation depends on how strongly its systems count as high-risk AI.\u003C\u002Fp>\n\u003Ch2>Sources\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.produktion.de\u002Ftechnik\u002Feu-ai-act-mehr-zeit-fuer-unternehmen-bei-hochrisiko-ki\u002F2750571\">Produktion Online\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cem>Editorially owned by \u003Ca href=\"\u002Fen\u002Fautor\u002Fideal-syka\">Ideal Syka\u003C\u002Fa>. Sources and method: \u003Ca href=\"\u002Fen\u002Fredaktion\">Newsroom & method\u003C\u002Fa>. Tips and corrections: \u003Ca href=\"mailto:ai@i6eal.de\">ai@i6eal.de\u003C\u002Fa>.\u003C\u002Fem>\u003C\u002Fp>\n",1791816624137]