AI training on customer-submitted data is a growing area of regulatory scrutiny, and the scope of what data may be used and under what legal basis is not fully specified in the notice, creating ambiguity for enterprise customers evaluating data governance risk.
Yelp
· Yelp Privacy Policy
This clause establishes the operational scope of AI processing activities Yelp may conduct on user-generated content and behavioral data. It specifies multiple authorized uses of AI technologies, from service personalization to content moderation, which defines the technical infrastructure and data processing activities that support Yelp's platform operations.
Zoom
· Zoom Privacy Statement
This provision establishes a stated restriction on using meeting content for AI model training, which is directly relevant to enterprise and institutional customers with confidentiality or data use obligations. The distinction between 'customer content' covered by this restriction and other data categories used for AI improvement is a material interpretive boundary that compliance teams should assess against their contractual requirements.
The provision clarifies the scope of data collection to encompass user-generated content and interactions with AI functionality, which constitutes personal data subject to Spotify's data processing practices. This designation determines what information falls under the privacy policy's data handling requirements and user rights regarding that information.
The classification of AI feature prompts and transcripts as usage data means these inputs are subject to the same collection, retention, and processing practices that apply to other service activity metrics, integrating conversational and generative AI interactions into Spotify's operational data collection framework.
The collection of AI interaction prompts and transcripts means that the content of your conversations with Spotify's AI features is stored as personal data, which may be used for service improvement, personalization, or other stated purposes and is subject to the policy's data sharing and retention terms.
Miro
· Miro Terms of Service
The incorporation of a separate AI Features Addendum creates a distinct contractual layer governing AI functionality, meaning users of Miro's AI tools are subject to additional terms beyond the core Terms of Service. The scope of AI data processing, including whether user content is used for model training or improvement, requires review of that addendum.
Canva
· Canva Terms of Use
The non-uniqueness disclosure for AI-generated outputs means that designs or content created using Canva's AI features may be substantially identical to content generated for other users, which may create intellectual property or brand differentiation concerns for commercial users.
Users who enter sensitive business information into ClickUp Brain should be aware that their inputs may be processed by external AI providers, which introduces additional data exposure considerations beyond ClickUp's own infrastructure.
Canva
· Canva Terms of Use
This provision allocates responsibility for compliance and quality assurance between the service provider and the user. By disclaiming guarantees regarding AI output accuracy and reliability, the clause establishes that users must independently verify AI-generated content before deployment, and the service provider assumes no liability for deficiencies in AI output quality or appropriateness.
Miro
· Miro Privacy Policy
The existence of a separate AI Terms Addendum means that users of Miro's AI features are subject to additional data processing terms that must be reviewed in conjunction with the privacy policy to assess the full scope of AI-related data handling.
This consolidation establishes a single source of governing terms for AI Features rather than multiple documents, which clarifies the applicable provisions users and creators must reference when using AI-based tools on the platform.
Apple
· Apple App Store Review Guidelines
The clause establishes a framework where app developers retain substantive liability for AI-generated content outputs and must implement disclosure mechanisms, creating operational requirements for any app incorporating generative AI features before submission to the App Store.
The clause allocates risk from the service provider to the user by establishing that content quality and accuracy are not guaranteed. This operates as a liability limitation that conditions user acceptance of the service on acknowledgment that AI outputs are inherently unpredictable.
Apple
· Apple App Store Review Guidelines
This requirement establishes disclosure obligations that condition app availability on the App Store, creating a procedural mechanism for transparency about AI-generated content generation capabilities and potential synthetic content risks.
By classifying AI-generated outputs as user Content, the terms apply the content license grant and Acceptable Use Policy obligations to material produced by Kajabi's own AI tools at the user's direction, which has implications for IP ownership, licensing, and acceptable use enforcement.
The assignment of output ownership clarifies the intellectual property rights governing user-generated outputs and establishes the user as the rights holder for their own outputs. This allocation is operationally significant because it permits unrestricted commercial use of outputs without requiring ongoing permissions or revenue-sharing arrangements with OpenAI.
The existence of a referenced AI governance framework is relevant to customers using Snowflake's AI or machine learning features, as it may define how AI outputs, data used for model training, and related obligations are governed.
This commitment establishes a procedural requirement for internal governance of AI system development and deployment, creating organizational obligations to systematically identify and address risks before systems reach operational use.
This provision establishes a use restriction that defines prohibited conduct within Anthropic's service terms, establishing boundaries on how generated content may be represented or deployed in communications with third parties.
Users submitting potentially sensitive business, technical, or personal information to Cerebras AI services may rely on this commitment as a data minimization assurance, though the policy does not describe the technical controls or audit mechanisms that implement it.
The provision operationalizes collection of user-generated inputs and system-generated outputs from AI interactions as part of TikTok Ads' standard data practices. This classification determines what data types fall within the scope of permitted collection and processing outlined in the privacy policy.
TikTok
· TikTok Privacy Policy
AI interaction inputs may contain highly personal, sensitive, or proprietary information; the policy states this data is also used to train and improve machine learning models and algorithms, and to scan and analyze AI interactions and associated metadata for enforcement purposes.
The clause establishes the scope of data collection for AI-generated interactions, distinguishing this category from standard user activity data and specifying that both user inputs and system outputs are retained as collectible data.
This clause establishes a use restriction that prevents Hulu content and service access from being instrumentalized for AI/ML development purposes. The provision operates as a categorical prohibition rather than a licensing arrangement, meaning Hulu does not authorize derivative use of its content for these computational purposes under any circumstance.
The provision defines the scope of permissible AI/ML training activities and establishes consent as a procedural requirement before such processing can occur. This allocation of decision-making authority regarding model training practices forms a material component of the data processing framework.
This clause establishes a contractual boundary around permissible uses of Netflix's platform and content. It operates as a use restriction that applies to the full lifecycle of machine learning development, not merely deployment, and requires affirmative authorization for any ML-related activity involving Netflix content or services.
Netflix
· Netflix Account and Content Policies
This provision establishes Netflix's operational control over content use for computational purposes, preventing the service from becoming a data source for third-party or user-developed AI systems. The scope covers both direct model training and intermediate stages like prompt engineering and validation, which creates a comprehensive restriction on ML-based content analysis.
The opt-out mechanism does not fully prevent your conversations from being used to train AI models, because two significant carve-outs apply regardless of your settings choice.
Cursor
· Cursor Data Use & Privacy Overview
The clause establishes a conditional data use authorization tied to an explicit user configuration choice. Disabling Privacy Mode serves as the operational trigger that permits model training use of code-related data; Privacy Mode remaining enabled restricts this use.