This analysis describes what Salesforce Einstein'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
Users receive insight into how an AI output was generated at the point it is delivered, rather than having to seek that information separately.
Interpretive note: The clause does not specify the form, depth, or audience of the explainability provided, nor whether it applies to all AI models or a subset. 'Model explainability' is not defined in the excerpt.
Readers can expect an explanation of each AI prediction or recommendation to be available at the time the output is produced.
How other platforms handle this
Microsoft also emphasizes the importance of validating AI models responsibly to enhance fairness and alignment with reality.
we may use de-identified information for the purpose of training our AI models and AI-supported services.
PRIOR TO ANY USE OF A MODEL, CUSTOMER AND ITS AUTHORIZED USERS WILL MAKE THEIR OWN DETERMINATIONS AS TO THE EFFICACY, ACCURACY, LAWFULNESS, AND APPROPRIATENESS OF THE MODEL OR ANY OUTPUT FOR ANY GIVEN USE.
Monitoring
Salesforce Einstein has changed this document before.
Receive same-day alerts, structured change summaries, and monitoring for up to 25 platforms.
"We also provide model explainability when an AI prediction or recommendation is made.— Excerpt from Salesforce Einstein's Salesforce Trusted AI Principles
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.
Compliance Governance Intelligence
Need to monitor specific governance provisions?
Compliance includes provision-level monitoring, governance timelines, regulatory mapping, and audit-ready analysis.
Built from archived source documents, structured governance mappings, and historical version tracking.
Users receive insight into how an AI output was generated at the point it is delivered, rather than having to seek that information separately.
Readers can expect an explanation of each AI prediction or recommendation to be available at the time the output is produced.
ConductAtlas has identified this type of provision across 212 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Salesforce Einstein.