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This provision states that Salesforce publishes model cards for its AI models covering creation methodology, intended and unintended use cases, known ethical or societal implications, and performance scores, and provides explainability information when AI predictions or recommendations are generated.
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
This provision establishes a transparency mechanism directly relevant to enterprise customers' AI governance obligations, including requirements under the EU AI Act for documentation of high-risk AI systems and emerging US state AI transparency laws. The publication of model cards covering unintended use cases and known ethical or societal implications is a materially significant disclosure for customers conducting AI risk assessments.
The document states that Salesforce publishes model cards for its AI models, including documentation of intended and unintended use cases, known ethical or societal implications, and performance scores. Enterprise customers can use this documentation to support their own AI risk assessments and governance programs.
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"We publish model cards that describe how models were created, intended and unintended use cases, known ethical or societal implications, and performance scores. We also provide model explainability when an AI prediction or recommendation is made.Excerpt from Salesforce Einstein's Salesforce Trusted AI Principles
(1) REGULATORY LANDSCAPE: This provision engages EU AI Act requirements for technical documentation of AI systems, including high-risk AI system documentation obligations under Annex IV. NIST AI Risk Management Framework documentation standards are also relevant given Salesforce's stated engagement with NIST. Emerging US state AI transparency laws in Colorado, Illinois, and New York may require disclosure of AI decision-making processes that model cards could support. (2) GOVERNANCE EXPOSURE: Low. The provision describes a transparency practice that is consistent with emerging AI governance standards and directly supports customers' own compliance documentation requirements. The governance exposure relates primarily to whether published model cards are sufficiently detailed to satisfy specific regulatory documentation requirements. (3) JURISDICTION FLAGS: EU and EEA deployments should assess whether Salesforce's model cards satisfy EU AI Act Annex IV technical documentation requirements for high-risk AI systems. Customers subject to emerging US state AI laws requiring algorithmic impact assessments should evaluate whether model card content satisfies applicable disclosure requirements. (4) CONTRACT AND VENDOR IMPLICATIONS: Procurement teams should verify that model cards are published for all AI features used in their specific deployments and assess whether the level of documentation provided satisfies their vendor AI governance requirements. The commitment to publish model cards is a policy-level statement; contracts should specify the scope and update frequency of this commitment. (5) COMPLIANCE CONSIDERATIONS: Compliance teams should incorporate Salesforce model cards into their AI vendor documentation processes, assess whether the disclosed unintended use cases or known ethical or societal implications affect their specific deployments, and monitor for updates to model cards that may affect their AI governance assessments.
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This provision establishes a transparency mechanism directly relevant to enterprise customers' AI governance obligations, including requirements under the EU AI Act for documentation of high-risk AI systems and emerging US state AI transparency laws. The publication of model cards covering unintended use cases and known ethical or societal implications is a materially significant disclosure for customers conducting AI risk assessments.
The document states that Salesforce publishes model cards for its AI models, including documentation of intended and unintended use cases, known ethical or societal implications, and performance scores. Enterprise customers can use this documentation to support their own AI risk assessments and governance programs.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Salesforce Einstein.