Provision record
Salesforce Einstein · Salesforce Trusted AI Principles · View original document ↗

AI Models Tested with Diverse Representative Data Sets

Medium severity Explicit document language Common · 216 of 352 platforms
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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

How other platforms handle this

GitHub Medium

We generate new information from other data we collect to derive likely preferences or other characteristics. For instance, we infer your general geographic location based on your IP address.

Google Cloud Medium

To achieve these processing purposes, we use algorithms to recognize patterns in Service Data, manual review of Service Data (such as when you interact directly with our billing or support teams)...

Heap Medium

We may analyze personal data we have collected about you to create a profile of your interests and preferences so that we can contact you with information that is relevant to you.

See all platforms with this clause type →
▸ View Original Clause Language DOCUMENT RECORD
"
We test our models using diverse and representative data sets that are most appropriate for how the model is being used.

Excerpt from Salesforce Einstein's Salesforce Trusted AI Principles

Applicable regulations

California AB 2013 AI Training Data Transparency
US-CA
Colorado AI Act
US-CO
EU AI Act - High Risk Provisions
EU
Trump Executive Order on AI Policy Framework
US

Provision details

Document information
Document
Salesforce Trusted AI Principles
Entity
Salesforce Einstein
Document last updated
May 12, 2026
Tracking information
First tracked
July 12, 2026
Last verified
July 12, 2026
Record ID
CA-P-073901
Document ID
CA-D-00818
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
c9bb51f7a29871aea2e399cd45ac7de48db93c4bdcfc153b82b72422b3556af6
Analysis generated
July 12, 2026 16:47 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Salesforce Einstein
Document: Salesforce Trusted AI Principles
Record ID: CA-P-073901
Captured: 2026-07-12 16:47:16 UTC
SHA-256: c9bb51f7a29871ae…
URL: https://conductatlas.com/platform/salesforce-einstein/salesforce-trusted-ai-principles/provision/CA-P-073901/ai-models-tested-with-diverse-representative-data-sets/
Accessed: Sept. 17, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
Medium
Categories

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Frequently Asked Questions

What does Salesforce Einstein's AI Models Tested with Diverse Representative Data Sets clause do?

The clause states: “We test our models using diverse and representative data sets that are most appropriate for how the model is being used.”

How many platforms have this type of clause?

ConductAtlas has identified this type of provision across 216 platforms. See the full comparison.

Is ConductAtlas affiliated with Salesforce Einstein?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Salesforce Einstein.