The clause establishes a broad operational authorization for the use of member-provided data as training material for AI systems across LinkedIn's service development. The provision includes a mechanism for members to object to or opt out of this specific use case through account settings.
This provision authorizes LinkedIn to use the professional content and data you contribute to the platform to develop and improve AI products, including sharing with its parent company Microsoft, which may extend the use of your data beyond the LinkedIn platform itself.
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 licensing grant establishes LinkedIn's operational authority to incorporate user-generated content and profile information into its service infrastructure, product development, and platform improvements without requiring case-by-case consent or compensation. The sublicensable and transferable nature of the license permits LinkedIn to authorize affiliated entities to utilize such content under the same terms.
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.
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 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.
Yelp
· Yelp Privacy Policy
This clause establishes the operational scope of data use for AI system development and deployment. It creates institutional authority for Yelp to process personal information across multiple AI applications without requiring separate user consent for each distinct AI model or third-party tool integrated into the Service.
This authorization permits Atlassian to use customer-submitted content and usage data for AI model training and product improvement purposes, which may be material for organizations with confidential data, regulated data, or sector-specific data handling obligations.
The clause establishes the operational basis for the platform's core matching functionality, specifying that algorithmic and machine learning processes are deployed as part of the service delivery mechanism.
Zoom
· Zoom Privacy Statement
This provision determines whether the content of your meetings, including things you say, type, or share, may be used to improve Zoom's AI products. Because the opt-out is assigned to account administrators rather than individual users or participants, individuals who join meetings on accounts they do not control cannot directly manage this setting.
The clause operationalizes a broad authorization for algorithmic model development using transactional and user data. This establishes the institutional framework under which customer data feeds into AI training pipelines as part of standard service operations and security infrastructure.
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.
The clause establishes a broad operational basis for AI/ML model development using user-generated data, creating a direct link between content collection and algorithmic product improvement within the service infrastructure.
The clause establishes a broad operational authorization for AI/ML model training using customer data across multiple institutional functions—service improvement, fraud detection, and security protection—creating a systematic data use pathway distinct from other stated purposes.
The clause establishes the operational basis for X's use of user-generated data and platform activity data in model development and training, which directly supports the technical infrastructure for AI-assisted features offered across the service.
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.
This provision means personal data you provide, or that Thomson Reuters collects about you, could be used to build AI systems, raising questions about what data is used, for how long, and whether individuals have effective control over that use.
This provision authorizes X to use broad categories of personal data, including content you create and how you interact with the platform, to develop and improve AI systems, which is a use that may extend beyond what users typically anticipate from a social media service.
The clause establishes the operational basis for incorporating user content into model training workflows while creating a mechanism for users to exercise control over specific uses. This distinction between primary service delivery and model training, coupled with opt-out provisions, structures how user content flows through the company's development processes.
The authorization to use personal data for AI training is explicit and broad, and the notice does not describe limits on which data categories may be used for this purpose or how long AI-trained models derived from user data are retained.
This authorization establishes a broad operational basis for LinkedIn to process personal data beyond immediate service delivery. The provision creates an institutional framework for algorithmic development and model training activities that operate on user data as a foundational input.
The clause establishes a broad operational authorization for the company to incorporate user personal data into model training and product development workflows. This authorization applies across both existing and future AI/ML capabilities without requiring separate consent for each development initiative.
This provision establishes the operational scope of ClickUp's data use rights for internal development and AI model enhancement. The carve-out for Data Processing Agreements creates a conditional application mechanism where contractual terms may supersede the stated policy authorization.
This restriction places the legal and ethical burden of obtaining consent directly on the customer, and failure to comply constitutes a breach of agreement that can trigger immediate suspension and indemnification obligations.
Zoom
· Zoom Terms of Service
This clause establishes Zoom's operational authority to incorporate user-generated content and service data into AI model development and derivative applications without additional compensation or per-use licensing. The transferability and sublicensability provisions permit Zoom to extend these rights to other organizations, affecting how broadly the licensed content may be deployed.
Zoom
· Zoom Terms of Service
The agreement authorizes use of meeting and communication content, which may include audio, video, chat transcripts, and shared files, to develop and improve AI features, subject to consent and available opt-out mechanisms.
This provision documents Microsoft's stated commitment to fairness as a design principle for its AI systems. The clause sets an operational standard but does not establish user-accessible verification processes, third-party audit rights, or specific performance metrics for measuring fairness outcomes across demographic groups.
This provision articulates Microsoft's operational principle for AI system design and describes available development tools for fairness assessment. The clause does not establish binding obligations, enforcement mechanisms, or specific performance standards, but rather states a commitment and identifies resources.
Zoom
· Zoom Privacy Statement
The clause establishes a consent-based framework for a specific data use case (AI model training) while preserving administrative control mechanisms within account management systems. This creates a distinct governance pathway for AI training separate from general content use permissions.