This analysis describes what Dun & Bradstreet's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The provision establishes transparency regarding the deployment of AI-based data processing systems within the organization's operations and documents third-party certification of responsible AI practices. This signals the company's commitment to standards for AI system governance and accountability in data handling.
The disclosure informs users that their data will be processed through AI systems subject to TRUSTe certification standards. Users operate under the terms as written, with the understanding that AI Systems are part of the company's data processing infrastructure.
How other platforms handle this
engage in any of the foregoing in connection with any use, creation, development, modification, prompting, fine-tuning, training, testing, benchmarking or validation of any artificial intelligence or machine learning tool, model, system, algorithm, product or other technology ("AI Tool").
We are simplifying our Terms of Use, including clarifications around the use of AI tools, and their data use. We have moved the terms that describe AI Features, which were previously written for a Creator audience and located under the AI-Based Tools Supplemental Terms and Disclaimer, into the User ...
Privacy and security: AI systems should be respectful of privacy and maintain security. Privacy and security requirements are particularly important for AI systems because access to data is essential for AI systems to make predictions and recommendations.
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"Some of the systems we use to process data are AI Systems. TRUSTe Responsible AI Certification (2024)— Excerpt from Dun & Bradstreet's D&B Privacy Policy
How Meta, TikTok, and Supabase restructured governance language across documents, jurisdictions, and consent frameworks through incremental document updates.
How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
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The provision establishes transparency regarding the deployment of AI-based data processing systems within the organization's operations and documents third-party certification of responsible AI practices. This signals the company's commitment to standards for AI system governance and accountability in data handling.
The disclosure informs users that their data will be processed through AI systems subject to TRUSTe certification standards. Users operate under the terms as written, with the understanding that AI Systems are part of the company's data processing infrastructure.
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