Slack may use information about how you use the service, potentially including content and usage data, to train its AI and machine learning models as part of product improvement.
This analysis describes what Slack'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 policy's authorization to use data for AI model training is relevant for users and enterprise customers who want to understand whether their interaction data or content contributes to AI development, which is an increasingly material privacy consideration.
Interpretive note: The policy does not clearly specify whether Customer Data (messages, files) is included in or excluded from AI training use; this ambiguity means the practical scope of this provision depends on Slack's separate AI product terms and DPA language.
Usage data and potentially interaction data may be used to train Slack's AI and machine learning models, a practice that is disclosed in general terms but may not be fully transparent to individual users about the specific data types involved.
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"We use information we collect to provide, maintain, improve, and develop our products and services. We also use information to develop new products and features. For example, understanding how our customers use our services allows us to improve our services and may be used to train our AI and machine learning models.Excerpt from Slack's Privacy Policy
REGULATORY LANDSCAPE: This provision engages GDPR's requirement for a lawful basis for processing (Article 6) and, where AI training involves special categories of data inadvertently captured in messages, Article 9.
Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.
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The policy's authorization to use data for AI model training is relevant for users and enterprise customers who want to understand whether their interaction data or content contributes to AI development, which is an increasingly material privacy consideration.
Usage data and potentially interaction data may be used to train Slack's AI and machine learning models, a practice that is disclosed in general terms but may not be fully transparent to individual users about the specific data types involved.
ConductAtlas has identified this type of provision across 289 platforms. See the full comparison.
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