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What Is Model Collapse? | IBM

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Artificial IntelligenceData QualityData ReliabilityAlice GomstynAlexandra Jonkergenerative AIartificial intelligencefittingsynthetic datalarge language modelsAI modelsIBM Privacy StatementAI hallucinationsVariational Autoencodergenerative adversarial networkGaussian Mixture modelsGo to episodemode collapseModel drifthistorical datadata provenance.quality of synthetic dataAI governanceUpcoming Webinar | March 31 Achieve continuous compliance in a hybrid data world with IBM Guardium Data Protection Register for this webinar to learn how AI governance helps organizations manage risk, meet evolving regulations and build trusted, responsible AI at scale. Register nowReport IBM X-Force Threat Intelligence Index 2026 Gain insights to prepare and respond to cyberattacks with greater speed and effectiveness with the IBM X-Force® Threat Intelligence Index. Read the reportReport AI governance imperative: evolving regulations and emergence of agentic AI Learn how evolving regulations and the emergence of AI agents are reshaping the need for robust AI governance frameworks. Read the reportWebinar recording Agent Ops and Responsible AI Join this webinar to explore practical strategies for operating and governing AI agents responsibly at scale, with expert insights on observability, risk management and accountable AI operations. Watch nowGuide Building a strong data foundation for trustworthy AI Explore the Data Matters hub to see how strong data practices and governance lay the foundation for scalable AI success. See why Data MattersEbook Maximize AI ROI through smarter governance Learn ways to maximize AI ROI—prioritizing high-impact use cases, governing risks, optimizing costs and accelerating adoption with watsonx®. Read the ebookReport IBM named a Leader in the Gartner® Magic Quadrant™ for GRC Unlock insights into IBM's OpenPages and learn why we were named a Leader. Get the ReportReport Why AI governance is a business imperative for scaling enterprise artificial intelligence Learn about the new challenges of generative AI, the need for governing AI and ML models and steps to build a trusted, transparent and explainable AI framework. Read the reportReport Getting ready for the EU AI Act, Phase 2: Risk-Assess and Categorize Understand the importance of establishing a defensible assessment process and consistently categorizing each use case into the appropriate risk tier. Read the reportInsight AI lifecycle governance Read about driving ethical and compliant practices with a portfolio of AI products for generative AI models. Read the insightEbook How to choose the right foundation model Learn how to select the most suitable AI foundation model for your use case. Read the ebookDiscover watsonx.governanceDiscover AI governance solutionsDiscover AI governance servicesExplore watsonx.governanceBook a live demoThe Curse of Recursion: Training on Generated Data Makes Models ForgetThe Internet Isn’t Completely Weird Yet; AI Can Fix ThatAI and the Problem of Knowledge CollapseBreaking MAD: Generative AI could break the Internet.Supplementary Information: AI models collapse when trained on recursively generated dataFairness Feedback Loops: Training on Synthetic Data Amplifies BiasAboutIs Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

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