{"id":6560,"date":"2023-10-19T14:10:09","date_gmt":"2023-10-19T14:10:09","guid":{"rendered":"https:\/\/dailyai.com\/?p=6560"},"modified":"2023-10-19T14:10:09","modified_gmt":"2023-10-19T14:10:09","slug":"new-index-shows-ai-models-are-becoming-less-transparent","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2023\/10\/new-index-shows-ai-models-are-becoming-less-transparent\/","title":{"rendered":"Neuer Index zeigt, dass KI-Modelle immer weniger transparent sind"},"content":{"rendered":"

Forscher aus Stanford, MIT und Princeton haben einen Index erstellt, um die Transparenz von KI-Unternehmen und ihren Modellen zu bewerten. Die Ergebnisse waren nicht gut.<\/strong><\/p>\n

Der Foundation Model Transparency Index (FMTI) bewertet die Transparenz von 10 Stiftungsmodellunternehmen anhand von 100 verschiedenen Transparenzaspekten. Die Kriterien beziehen sich auf die Art und Weise, wie ein Unternehmen ein Stiftungsmodell aufbaut, wie es funktioniert und die nachgelagerte Nutzererfahrung.<\/p>\n

Meta's Llama 2 hat sich an die Spitze gesetzt, aber sein Ergebnis von 54% ist nicht gerade ein Lichtblick. OpenAI kam mit einem Transparenzwert von 48% knapp auf den dritten Platz. In Anbetracht der laufenden Debatte \u00fcber Open Source und propriet\u00e4re Produkte<\/a>Es ist interessant zu sehen, dass der Abstand zwischen diesen beiden nicht viel gr\u00f6\u00dfer war.<\/p>\n

Transparenz ist ein wichtiger Faktor, wenn sich Organisationen f\u00fcr ein bestimmtes Unternehmensmodell entscheiden. Wenn Ihr Unternehmen oder Ihre Bildungseinrichtung ein KI-Modell einsetzt, wollen Sie wissen, ob Sie ihm vertrauen k\u00f6nnen.<\/p>\n

Stimmt die Art und Weise, wie das Modell erstellt wurde, mit den Grunds\u00e4tzen Ihrer Einrichtung \u00fcberein? K\u00f6nnte es sein, dass Sie sich im Nachhinein einem Rechtsstreit wegen Urheberrechtsverletzungen aussetzen?<\/p>\n

\"Transparenzindex
Gesamtpunktzahl des Stiftungsmodell-Transparenzindex f\u00fcr 2023. Quelle: Stanford<\/a><\/figcaption><\/figure>\n

Der Index<\/a> erreicht zwei wichtige Dinge. Es zeigt, dass wir noch einen langen Weg vor uns haben, bis wir wirklich transparente KI-L\u00f6sungen haben. Und auch wenn wir das noch nicht erreicht haben, zeigt es uns, welche Unternehmen bessere Arbeit leisten als andere.<\/p>\n

Die Kriterienkatalog<\/a> ist eine interessante Lekt\u00fcre. Es werden Fragen gestellt wie: \"Werden geografische Informationen \u00fcber die an der Datenarbeit beteiligten Personen f\u00fcr jede Phase der Datenpipeline offengelegt?\" Geisterarbeiter<\/a> waren ein umstrittenes ethisches Problem in der KI-Salbe.<\/p>\n

Ein weiteres Kriterium lautet: \"Wird der Energieaufwand f\u00fcr die Erstellung des Modells offengelegt?\" Ein wichtiger Punkt, wenn Sie ein \u00f6kologisch<\/a> eine fundierte Entscheidung zwischen zwei Modellen.<\/p>\n

Diese Fragen sind unbestreitbar wichtig, werden aber von den KI-Unternehmen nur unzureichend offengelegt. In der Einleitung zum FMTI sagt das Center for Research Foundation Models: \"W\u00e4hrend die gesellschaftlichen Auswirkungen dieser Modelle zunehmen, nimmt die Transparenz ab.\"<\/p>\n

Die Angabe einer Zahl wird hoffentlich einen gewissen Wettbewerb zwischen den gro\u00dfen KI-Firmen ausl\u00f6sen, die sich um die Spitze der FMTI-Tabelle bem\u00fchen.<\/p>\n

Da sich die Leistungsparit\u00e4t zwischen den Spitzenmodellen ann\u00e4hert, k\u00f6nnte es durchaus sein, dass der FMTI-Wert die Entscheidung f\u00fcr ein Modell gegen\u00fcber einem anderen beeinflusst.<\/p>","protected":false},"excerpt":{"rendered":"

Forscher aus Stanford, MIT und Princeton haben einen Index erstellt, um die Transparenz von KI-Unternehmen und ihren Modellen zu bewerten. Die Ergebnisse waren nicht gut. Der Foundation Model Transparency Index (FMTI) bewertet die Transparenz von 10 Foundation Model-Unternehmen anhand von 100 verschiedenen Transparenzaspekten. Die Kriterien beziehen sich auf die Art und Weise, wie ein Unternehmen ein Basismodell aufbaut, wie es funktioniert und auf die nachgelagerte Benutzererfahrung. Meta's Llama 2 belegte den ersten Platz, auch wenn seine Punktzahl von 54% nicht gerade ein Lichtblick ist. OpenAI kam mit einer Transparenzbewertung von 48% knapp auf den dritten Platz. In Anbetracht der laufenden Open-Source- vs. propriet\u00e4re Debatte,<\/p>","protected":false},"author":6,"featured_media":6563,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[103,118,131,93,442],"class_list":["post-6560","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-ai-debate","tag-llms","tag-meta","tag-openai","tag-transparency"],"yoast_head":"\nNew index shows AI models are becoming less transparent | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/de\/2023\/10\/new-index-shows-ai-models-are-becoming-less-transparent\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New index shows AI models are becoming less transparent | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from Stanford, MIT, and Princeton created an index to benchmark the transparency of AI companies and their models. The results weren\u2019t great. The Foundation Model Transparency Index (FMTI) rates the transparency of 10 foundation model companies according to 100 different aspects of transparency. The criteria are related to how a company builds a foundation model, how it works, and downstream user experience. Meta\u2019s Llama 2 came out on top however, its score of 54% isn\u2019t exactly shooting out the lights. OpenAI came a close third with a transparency score of 48%. 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