The provision establishes the operational basis for collecting accessibility-related data including health information, with explicit consent as a procedural requirement. This framework allows the platform to process sensitive data categories that would otherwise require heightened safeguards, subject to market-specific validation requirements.
Meta
· Meta Terms of Service
The clause operationalizes Meta's advertising model by describing the mechanism through which user data informs ad targeting while restricting direct identifier sharing. This structure defines the scope of data Meta is contractually authorized to use for advertising purposes as part of the service agreement.
Venmo
· Venmo Privacy Policy
The clause establishes the operational basis for Venmo's use of user data in advertising and marketing functions, including targeting mechanisms and performance measurement activities.
Meta
· Meta Terms of Service
This clause establishes the operational basis for the service delivery model and clarifies the consideration users provide in exchange for access to Meta Products. It specifies that personalized data usage is integral to the advertising targeting mechanism that funds the platform.
Unity
· Unity Privacy Policy
The clause establishes Unity's data collection and aggregation practices across its service ecosystem, enabling the creation of persistent behavioral profiles that support targeted advertising operations and analytics services delivered to developer customers.
Waze
· Waze Privacy Policy
The clause establishes the operational framework for ad targeting and identifies the data categories and external parties involved in the personalization mechanism. This defines how the service generates revenue through targeted advertising and specifies which internal and external entities participate in the data flow for ad purposes.
Meta
· Meta Terms of Service
This clause establishes Meta's operational authority to incorporate user identity elements and activity information into advertising display mechanisms. The provision defines the scope of permitted use of user-generated identity and behavioral data for advertising purposes across the platform's product ecosystem.
This provision establishes mandatory compliance obligations for advertisers using the platform to display age-restricted content categories. The targeting requirement creates an operational gate that conditions ad delivery on advertiser configuration of audience parameters aligned with legal age thresholds.
The provision creates a clear delineation between customer-specific data (which remains customer property) and aggregated usage analytics (which constitute Supabase IP). This classification determines what data Supabase may retain and utilize after service termination or in other operational contexts.
The clause establishes a data use practice for model development and establishes an opt-out mechanism through user-controlled settings rather than requiring affirmative consent prior to training use.
This clause establishes the operational scope of Pinterest's machine learning development activities by authorizing use of user-generated content and behavioral data for model training without time restrictions on when content was posted. The authorization extends across Pinterest's corporate family and permits both identifiable and aggregated data use.
The provision establishes a reference mechanism for disclosure of AI and machine learning data practices rather than detailing those practices directly in the privacy policy itself. This structure defers substantive disclosures to a separate document subject to independent update procedures.
Slack
· Slack Privacy Policy
The provision establishes the operational scope of data usage across Slack's service infrastructure and product development activities. It creates a conditional authorization for AI/ML training that ties data use to either explicit customer enablement or contractual permission, distinguishing this use case from general platform maintenance and improvement activities.
The clause establishes a broad operational authority for Amazon to incorporate user-generated data into model development and training processes as part of service improvement functions, without requiring separate user consent or opt-in mechanisms for each use case.
Roblox
· Roblox Privacy and Cookie Policy
The clause establishes a permitted use category for user-generated content beyond the primary service delivery function, expanding the operational scope of data processing activities the platform may conduct. This authorization operates independently of content removal or moderation decisions.
Miro
· Miro Terms of Service
This provision creates a contractual framework linking AI feature usage to supplemental terms and establishes the operational scope of content processing through AI systems. It clarifies that AI functionality involves both Miro's systems and third-party AI models as part of the service delivery mechanism.
The clause establishes the operational basis for the service provider's use of user-generated content and interaction data as training material for model development and service enhancement.
GitHub
· GitHub Privacy Statement
This provision establishes GitHub's operational authority to apply user-generated content to AI model training, which affects how the platform monetizes and develops its technical infrastructure. The clause defines the boundaries of permitted data use beyond the immediate service delivery.
Figma
· Figma Privacy Policy
This provision establishes the operational basis for incorporating user-generated content into Figma's AI model development pipeline, with the requirement that such data undergo de-identification and aggregation processes before training use.
The provision establishes the operational scope of data utilization within the service delivery model. It defines what uses of submitted content fall within the authorized scope of the agreement and shapes the data practices governing the service.
The clause establishes a dual-authorization framework: a default permission structure with an opt-out mechanism, coupled with carve-outs that preserve the company's training use rights for specific material categories regardless of opt-out status. This creates distinct operational categories for data handling based on material type and context.
OpenAI
· OpenAI Privacy Policy
The provision establishes distinct data usage policies based on account type, creating different baseline training data practices for API and consumer users. This operational distinction means the scope of content used for model development varies depending on the user relationship with OpenAI.
The clause establishes a data retention and usage framework that ties continued service operation to participation in model training activities, creating an operational dependency between account settings and AI development practices.
This clause establishes the operational scope of data usage for model development purposes and creates a mechanism by which users can control participation in training activities. The provision distinguishes between default data usage practices and user-elected opt-out procedures.
PayPal
· PayPal Privacy Statement
The clause establishes PayPal's operational authority to incorporate user data into AI model development and to apply automated decision systems for security and fraud mitigation functions. This defines the scope of permissible data uses beyond transaction processing and direct service provision.
The clause establishes the operational scope of data use for model development purposes and creates an opt-out mechanism that allows users to restrict a specific category of data processing while other uses of personal data may continue under the terms.
The provision establishes a dual-consent framework where users may restrict training use through opt-out but retain defined carve-outs that permit training use for safety-related flagging and user-initiated reporting. This structure maintains model improvement capabilities for specified institutional purposes while providing users discretionary control over routine training use.
TikTok
· TikTok Terms of Service
The provision establishes the legal basis for TikTok's use of user content in AI model development and algorithm improvement, allowing the platform to process content at scale for training purposes while maintaining operational authority over derivative works and adaptations.
This authorization allows OpenAI to incorporate user submissions into its model development workflow, which is operationally central to the service's improvement and feature development. The provision clarifies the company's rights to use submitted data for its core business function of training AI systems.
The provision establishes LinkedIn's operational authority to incorporate user content into AI training datasets without separate compensation or per-use licensing arrangements. This licensing structure enables LinkedIn to develop and improve AI-powered features using the platform's accumulated user-generated content as training material.