This statement establishes Microsoft's declared operational posture regarding AI governance frameworks. It indicates the entity's commitment to engage in regulatory processes rather than operate independently of legislative oversight.
This provision establishes the operational framework through which Google commits to research transparency and community engagement in AI development. It creates an institutional commitment to multidisciplinary approaches and public dissemination of research findings.
This clause establishes that the license grant to Luma AI operates independently of account status. Once content is incorporated into Luma's systems or aggregated data before deletion, the termination of the user account does not retroactively revoke Luma's rights to continue using that previously-incorporated material.
This clause allocates responsibility by requiring users to warrant their authority to direct the service's actions and to provide inputs that the service can legally process. It establishes the operational framework under which Claude.ai accepts user-directed inputs and takes actions without independently verifying the user's underlying authority to authorize those actions.
The provision clarifies that the introduction of agentic capabilities does not create a separate regulatory framework; instead, it extends existing Usage Policy requirements to autonomous AI deployment scenarios. This ensures consistent compliance obligations across different deployment models.
The clause creates operational constraints on Claude's autonomous decision-making by requiring human oversight mechanisms, permission-based authorization, and conservative action protocols. These requirements establish procedural safeguards for instances where Claude takes independent actions on behalf of users.
This clause allocates operational risk for AI-generated outputs to the user rather than the service provider, establishing that the user's review obligation is a condition of using autonomous features. The disclaimer functions to limit Instacart's liability exposure for malfunctions or unexpected behavior in agentic systems.
PayPal
· PayPal Privacy Statement
This provision establishes the operational framework under which PayPal deploys algorithmic assessment systems for account and transaction evaluation. The authorization permits profiling analysis that goes beyond submitted information to infer economic status, reliability, and behavioral patterns as part of risk management procedures.
This provision establishes the operational framework under which Thomson Reuters may deploy automated decision-making systems while specifying disclosure obligations triggered by the legal or similarly significant nature of those decisions. The clause conditions information provision on compliance with applicable law rather than establishing independent disclosure standards.
Microsoft
· Microsoft Privacy Statement (Legacy)
The provision establishes the operational scope of data collection and use for AI model development and service personalization. It specifies that retention of interaction data occurs as part of normal product improvement processes, which affects how user-generated inputs to AI features are processed and stored.
Microsoft
· Microsoft Privacy Statement (Legacy)
This provision establishes the operational scope of data collection tied to AI feature use and clarifies Microsoft's authority to repurpose collected data for both product improvement and model training purposes. The provision's significance derives from the breadth of data types collected (prompts, outputs, usage data) and the multiple authorized uses, with user controls limited to specific model training scenarios.
Microsoft
· Microsoft Privacy Statement (Legacy)
The clause establishes the operational scope of data collection and permissible uses for AI feature interactions. It defines what categories of information Microsoft processes and the purposes—service delivery, feature improvement, personalization, and product development—under which that data may be utilized.
This provision establishes the data usage scope for model training operations across LinkedIn and Microsoft systems. The authorization covers both recommendation and feature development as well as generative AI applications, with a specified opt-out mechanism available to users.
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 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.
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.
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.
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 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.
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.
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 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.
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.
Notion
· Notion Terms of Service
The AI Terms establish a distinct operational framework that applies when users access AI features, separate from standard Notion service terms. This provision clarifies the contractual boundaries, data processing rules, and acceptable use parameters specific to AI-powered capabilities.
Replit
· Replit Privacy Policy
This provision establishes the scope of permitted uses for user-generated content beyond the primary service delivery. It defines a use case that extends to model development and feature enhancement activities.
Strava
· Strava Privacy Policy
The clause establishes the scope of data uses permitted under the service terms, conditioning AI feature deployment on user-configurable privacy settings. This defines the operational framework for how personal health and location data flows into algorithmic systems.