{"id":7922,"date":"2026-06-16T13:42:53","date_gmt":"2026-06-16T05:42:53","guid":{"rendered":"https:\/\/moresourcing.com\/how-ai-companies-can-pay-fair-rates-for-the-content-they-need\/"},"modified":"2026-06-16T13:42:53","modified_gmt":"2026-06-16T05:42:53","slug":"how-ai-companies-can-pay-fair-rates-for-the-content-they-need","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/de\/how-ai-companies-can-pay-fair-rates-for-the-content-they-need\/","title":{"rendered":"Wie KI-Unternehmen faire Preise f\u00fcr die Inhalte zahlen k\u00f6nnen, die sie ben\u00f6tigen"},"content":{"rendered":"<p><\/p>\n<div>\n<p class=\"Paragraph-module-scss-module__UwInRW__text\" data-first-paragraph=\"true\">Der Kampf um die Daten, die k\u00fcnstliche Intelligenz trainieren, ist zu einem der pr\u00e4genden wirtschaftlichen Konflikte des Jahrzehnts geworden. Verlage, Autoren und bildende K\u00fcnstler <a href=\"https:\/\/www.creatorscoalitionai.com\/\" class=\"ContentLink-module-scss-module__qKDjGa__anchor\">argumentieren<\/a> , dass ihre Arbeit ohne Erlaubnis oder Bezahlung genommen wurde. KI-Unternehmen entgegnen, dass das Training mit verf\u00fcgbaren Daten <a href=\"https:\/\/www.uspto.gov\/sites\/default\/files\/documents\/OpenAI_RFC-84-FR-58141.pdf\" class=\"ContentLink-module-scss-module__qKDjGa__anchor\">eine faire Nutzung darstellt<\/a> und selbst wenn ein Markt f\u00fcr Daten w\u00fcnschenswert w\u00e4re, <a href=\"https:\/\/cdn.openai.com\/global-affairs\/b89a7434-7cb9-47a7-b4a7-b50b1a1a0afc\/openai-uk-ai-and-copyright-consultation.pdf\" class=\"ContentLink-module-scss-module__qKDjGa__anchor\">die Entsch\u00e4digung von Millionen von Erstellern technisch unm\u00f6glich ist<\/a>: Die Kosten f\u00fcr die Ermittlung des Wertes eines bestimmten Datenst\u00fccks, <a href=\"https:\/\/arxiv.org\/abs\/2302.11431\" class=\"ContentLink-module-scss-module__qKDjGa__anchor\">haben Forscher argumentiert<\/a>, w\u00fcrden den Gro\u00dfteil des Wertes verschlingen, den die Daten \u00fcberhaupt erst schaffen.<\/p>\n<\/div>\n<p><script async=\"\" defer=\"\" crossorigin=\"anonymous\" src=\"https:\/\/connect.facebook.net\/en_US\/sdk.js#version=v19.2&amp;appId=1761258887507575&amp;xfbml=false&amp;status=true\"><\/script><\/p>\n<p>#Unternehmen #zahlen #faire #Preise #Inhalte<\/p>","protected":false},"excerpt":{"rendered":"<p>Der Kampf um die Daten, die k\u00fcnstliche Intelligenz trainieren, ist zu einem der pr\u00e4genden wirtschaftlichen Konflikte des Jahrzehnts geworden. Verlage, Autoren und bildende K\u00fcnstler argumentieren, dass ihre Werke ohne Erlaubnis oder Verg\u00fctung genutzt wurden. KI-Unternehmen entgegnen, dass das Training mit verf\u00fcgbaren Daten eine faire Nutzung darstellt und selbst wenn ein Markt f\u00fcr Daten existieren w\u00fcrde, [&hellip;]<\/p>","protected":false},"author":1,"featured_media":7923,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-7922","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-management"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.7.1 (Yoast SEO v25.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How AI Companies Can Pay Fair Rates for the Content They Need - MORE SOURCING LTD<\/title>\n<meta name=\"description\" content=\"Frontier AI models are trained on the accumulated digital output of humanity, which AI companies acquired essentially for free. This is a problem for both AI companies and content creators. For AI companies, future training will require new, high-quality human data. For creators, they face a choice between modest one-off licensing deals and copyright litigation, neither of which offers reasonable compensation. Yet AI companies already produce the two data sets required for pricing content, as a matter of course, every time a model is trained: data mixture and scaling laws capture how to divide the pie and how big it is. Further, collective management organizations (CMO), like those used in the music industry, offer a model for how to distribute payments. The technical objection that has kept both sides arguing in the dark\u2014that data simply cannot be valued at scale\u2014does not hold up. 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Der technische Einwand, der beide Seiten im Dunkeln tappen lie\u00df \u2013 dass Daten einfach nicht in gro\u00dfem Ma\u00dfstab bewertet werden k\u00f6nnen \u2013 h\u00e4lt nicht stand. Dieser Rahmen bietet sowohl KI-Unternehmen als auch Inhaltserstellern einen fairen Weg nach vorne.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/moresourcing.com\/de\/how-ai-companies-can-pay-fair-rates-for-the-content-they-need\/","og_locale":"de_DE","og_type":"article","og_title":"How AI Companies Can Pay Fair Rates for the Content They Need","og_description":"Frontier AI models are trained on the accumulated digital output of humanity, which AI companies acquired essentially for free. This is a problem for both AI companies and content creators. For AI companies, future training will require new, high-quality human data. 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