{"id":13860,"date":"2024-08-15T09:35:30","date_gmt":"2024-08-15T09:35:30","guid":{"rendered":"https:\/\/dailyai.com\/?p=13860"},"modified":"2024-08-18T12:14:41","modified_gmt":"2024-08-18T12:14:41","slug":"study-challenges-the-narrative-of-ai-posing-an-existential-threat","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2024\/08\/study-challenges-the-narrative-of-ai-posing-an-existential-threat\/","title":{"rendered":"Studie stellt das Narrativ der \"existenziellen Bedrohung\" durch KI in Frage"},"content":{"rendered":"

Ist KI riskant oder nicht? Diese Debatte wird immer wieder gef\u00fchrt, ohne dass es endg\u00fcltige Antworten gibt.<\/strong><\/p>\n

Als Beitrag zu dieser Debatte haben Forscher der University of Bath und der Technischen Universit\u00e4t Darmstadt eine Studie zur Bewertung der KI-Risiken im Zusammenhang mit aktuellen Sprachmodellen wie ChatGPT durchgef\u00fchrt.\u00a0<\/span><\/p>\n

Die <\/span>Ergebnisse<\/span><\/a>Jahrestagung der Association for Computational Linguistics (ACL 2024) ver\u00f6ffentlicht wurden, stellen die Ansicht in Frage, dass KI, insbesondere gro\u00dfe Sprachmodelle (LLMs) wie ChatGPT, sich au\u00dferhalb der menschlichen Kontrolle entwickeln und eine existenzielle Bedrohung f\u00fcr die Menschheit darstellen k\u00f6nnten.<\/span><\/p>\n

Dies steht im Widerspruch zu den Bef\u00fcrchtungen, die einige der weltweit f\u00fchrenden KI-Forscher ge\u00e4u\u00dfert haben, darunter Geoffrey Hinton und Yoshua Bengio, zwei der \"Paten der KI\", die sich besorgt \u00fcber die potenziellen Gefahren der fortgeschrittenen KI \u00e4u\u00dferten.\u00a0<\/span><\/p>\n

Yann LeCun, der dritte \"Pate der KI\" und neben Dr. Gary Marcus und anderen der leitende KI-Wissenschaftler von Meta, vertritt die gegenteilige Auffassung, dass die Risiken der KI <\/span>einfach \u00fcbertrieben<\/span><\/a>.\u00a0<\/span><\/p>\n

Diese Meinungsverschiedenheit zwischen den einflussreichsten Pers\u00f6nlichkeiten des Fachgebiets hat <\/span>eine heftige Debatte entfacht<\/span><\/a> \u00fcber die Art und Schwere der von fortgeschrittenen KI-Systemen ausgehenden Risiken.<\/span><\/p>\n

Diese neue Studie untersucht die \"emergenten F\u00e4higkeiten\" von LLMs, d. h. die F\u00e4higkeit eines Modells, Aufgaben auszuf\u00fchren, f\u00fcr die es nicht ausdr\u00fccklich trainiert wurde.\u00a0<\/span><\/p>\n

KI-Risiken sind vielf\u00e4ltig, aber zumindest einige beziehen sich darauf, dass Modelle eigene Ziele entwickeln, die dem Menschen schaden k\u00f6nnten, z. B. das Herunterfahren von Computersystemen oder Datenlecks. <\/span><\/p>\n

Es wird gepr\u00fcft, ob ein LLM diese F\u00e4higkeiten spontan und ohne Anleitung oder Kontrolle entwickeln kann.\u00a0<\/span><\/p>\n

Um dies zu untersuchen, f\u00fchrte das Forschungsteam eine Reihe von Experimenten durch:<\/span><\/p>\n

    \n
  1. Sie untersuchten die zugrundeliegenden Mechanismen des \"In-Context-Lernens\" (ICL) bei LLMs, das es den Modellen erm\u00f6glicht, Antworten auf der Grundlage von Beispielen zu generieren, die w\u00e4hrend der Interaktion gegeben werden. In der Studie hei\u00dft es: \"Die F\u00e4higkeit, Anweisungen zu befolgen, bedeutet nicht, dass man \u00fcber logische F\u00e4higkeiten verf\u00fcgt, und - was noch wichtiger ist - sie impliziert nicht die M\u00f6glichkeit latenter, potenziell gef\u00e4hrlicher F\u00e4higkeiten.<\/span><\/li>\n
  2. Sie bewerteten die tats\u00e4chlichen F\u00e4higkeiten und Grenzen von LLMs, indem sie ihre Leistung bei einer Reihe von Aufgaben bewerteten, darunter auch solche, die komplexes logisches Denken und Probleml\u00f6sungsf\u00e4higkeiten erfordern. Die Forscher argumentieren, dass LLMs nicht unabh\u00e4ngig neue F\u00e4higkeiten entwickeln k\u00f6nnen<\/span><\/li>\n
  3. Sie analysierten die Beziehung zwischen Modellgr\u00f6\u00dfe, Trainingsdaten und entstehenden F\u00e4higkeiten, um festzustellen, ob eine zunehmende Modellkomplexit\u00e4t dazu f\u00fchrt, dass KI gef\u00e4hrliche F\u00e4higkeiten entwickelt. In der Studie hei\u00dft es: \"Diese Beobachtungen deuten darauf hin, dass unsere Ergebnisse f\u00fcr jedes Modell gelten, das zu Halluzinationen neigt oder eine prompte Entwicklung erfordert, auch f\u00fcr Modelle mit h\u00f6herer Komplexit\u00e4t, unabh\u00e4ngig vom Umfang oder der Anzahl der Modalit\u00e4ten, wie z. B. GPT-4\".<\/span><\/li>\n<\/ol>\n

    Die Forscher schlussfolgern aus ihrer Untersuchung, dass \"das vorherrschende Narrativ, dass diese Art von KI eine Bedrohung f\u00fcr die Menschheit ist, die weit verbreitete Annahme und Entwicklung dieser Technologien verhindert und au\u00dferdem die Aufmerksamkeit von den wirklichen Problemen ablenkt, die unsere Aufmerksamkeit erfordern\".<\/span><\/p>\n

    Dies stimmt mit LeCun und anderen \u00fcberein, die der Meinung sind, dass KI-Risiken zu sehr propagiert werden.<\/span><\/p>\n

    Doch w\u00e4hrend die Bewertung der Risiken, die von den aktuellen KI-Modellen ausgehen, nat\u00fcrlich von entscheidender Bedeutung ist, ist die Bilanzierung der Zukunft eine schwierigere Aufgabe.\u00a0<\/span><\/p>\n

    Jede Generation von Modellen bringt neue F\u00e4higkeiten und damit auch neue Risiken mit sich, wie einige seltsame Verhaltensweisen zeigen, die in\u00a0GPT-4o's Testkarte<\/a>.\u00a0<\/span><\/p>\n

    Bei einer Red-Teaming-\u00dcbung (zur Identifizierung unvorhersehbarer KI-Verhaltensweisen) war es schockierend zu sehen, wie die Sprachfunktion von GPT-4o unerwartet die Stimme eines Benutzers klonte und begann, mit ihm in seiner eigenen Stimme zu sprechen.\u00a0<\/span><\/p>\n

    Es ist von entscheidender Bedeutung, KI-Risiken zu verfolgen, sobald sie auftauchen, da sich die Zielvorgaben st\u00e4ndig \u00e4ndern.\u00a0<\/span><\/p>\n

    Die Studie weist darauf hin, dass einige nicht existenzielle KI-Risiken bereits an die T\u00fcr klopfen: \"K\u00fcnftige Forschungen sollten sich daher auf andere Risiken konzentrieren, die von den Modellen ausgehen, wie z. B. ihr Potenzial, zur Generierung von Fake News verwendet zu werden.\"<\/span><\/p>\n

    Wie die Autoren einr\u00e4umen, bedeutet die Tatsache, dass die KI derzeit keine gro\u00dfe Bedrohung darstellt, nicht, dass die Sicherheit kein Thema ist.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Ist KI riskant oder nicht? Diese Debatte wird immer wieder gef\u00fchrt, ohne dass es endg\u00fcltige Antworten gibt. Forscher der University of Bath und der Technischen Universit\u00e4t Darmstadt haben eine Studie durchgef\u00fchrt, um die Risiken von KI im Zusammenhang mit aktuellen Sprachmodellen wie ChatGPT zu bewerten. Die Ergebnisse, die im Rahmen der 62. Jahrestagung der Association for Computational Linguistics (ACL 2024) ver\u00f6ffentlicht wurden, widerlegen die Ansicht, dass KI, insbesondere gro\u00dfe Sprachmodelle (LLMs) wie ChatGPT, sich au\u00dferhalb der menschlichen Kontrolle entwickeln und eine existenzielle Bedrohung f\u00fcr die Menschheit darstellen k\u00f6nnten. Dies steht im Widerspruch zu den Bef\u00fcrchtungen, die von einigen der weltweit f\u00fchrenden<\/p>","protected":false},"author":2,"featured_media":13867,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[163,105],"class_list":["post-13860","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-ai-risks","tag-machine-learning"],"yoast_head":"\nStudy challenges the narrative of AI posing an 'existential threat' | 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\/2024\/08\/study-challenges-the-narrative-of-ai-posing-an-existential-threat\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Study challenges the narrative of AI posing an 'existential threat' | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Is AI risky or not? It\u2019s the debate that just keeps raging on without definitive answers. Contributing more evidence to this debate, University of Bath and the Technical University of Darmstadt researchers launched a study to evaluate AI risks in the context of current language models like ChatGPT.\u00a0 The findings, published as part of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), challenge views that AI, particularly large language models (LLMs) like ChatGPT, could evolve beyond human control and pose an existential threat to humanity. 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