The provision establishes broad operational authority for the service provider to take enforcement action based on its own assessment of acceptable use, without prior notice requirements or monitoring obligations. This structure concentrates content moderation and access management decisions within Afterpay's sole discretion.
Microsoft
· Microsoft Privacy Statement (Legacy)
The statement authorizes use of user-generated content and AI interaction data for model training and improvement, which may affect users who share sensitive or confidential information through Copilot or other AI features in Microsoft products.
This clause establishes a boundary on permissible uses of Hulu content by restricting application to AI and machine learning development workflows. The provision operates as a use restriction that applies across the full lifecycle of AI/ML technology development, from initial creation through production deployment.
The clause establishes DocuSign's operational authority to incorporate user-derived data into AI model development without requiring separate consent. This practice applies to all users whose service data falls within the scope of the provision's definition of aggregated, de-identified information.
This provision establishes the operational scope for data inference activities. It permits the company to develop and expand algorithmic capabilities that generate new data attributes beyond information directly provided by users, creating derived data sets that may be used in service optimization and feature development.
The clause establishes a broad operational basis for incorporating user data into AI/ML development activities across multiple institutional functions—from product optimization to fraud prevention and security infrastructure. This authorization operates across both customer-facing personalization and backend security operations.
Strava
· Strava Privacy Policy
This clause authorizes use of sensitive data categories including health metrics and precise location for AI development, which is a broad permission that goes beyond basic service delivery and may not be fully intuitive to users who think of Strava as a workout tracker.
This clause operationally prevents users from leveraging Netflix content or service interaction data as inputs for machine learning development activities. The provision's scope extends across the full lifecycle of AI/ML system development, from initial creation through validation phases.
Your purchases, messages, viewing history, and other activity may be used to build and refine AI systems, and the policy does not specify limitations on how long or for what purposes this training data may be retained.
This clause explicitly prohibits using ZipRecruiter's job posting data, resume data, or other content as training data for AI systems, which is directly relevant for companies developing recruitment AI tools that might otherwise ingest publicly accessible job market data.
This clause establishes a procedural boundary on permitted uses of the service by restricting computational uses that extract value from Netflix content for AI development purposes. The restriction operates as a use limitation that affects how subscribers may process or repurpose platform content.
Netflix
· Netflix Account and Content Policies
The provision establishes operational boundaries around permissible uses of Netflix content by restricting its application to machine learning workflows. This addresses Netflix's interest in controlling how its proprietary content and service data inform the development of AI systems by third parties or competing platforms.
This clause establishes a contractual boundary around computational use of the service. It prevents Netflix content from being incorporated into machine learning workflows, which has operational significance for data science projects, model training pipelines, and algorithmic development that might otherwise leverage the platform's content library.
AI-driven matching means automated processing of your career data influences which jobs or candidates you are shown, with limited transparency about how those decisions are made.
This clause explicitly extends the general usage restrictions to cover AI and machine learning activities, meaning any use of Netflix content or service interactions to develop, fine-tune, benchmark, or validate AI models is prohibited under the terms.
Netflix
· Netflix Account and Content Policies
This clause broadly restricts any use of Netflix's platform or content for AI-related activities, which is relevant for developers, researchers, and companies building AI products who might otherwise use streaming data or interactions as training inputs.
The clause establishes a contractual boundary around permitted uses of the service and content, preventing users from leveraging Netflix materials for AI/ML research, development, or product creation without separate authorization. This operates as a usage restriction that the service provider can enforce through account termination or legal action.
Loom
· Loom Privacy Policy
Use of user-generated video and text content to train or improve AI systems is a significant and evolving area of privacy concern, particularly where the content includes sensitive business or personal communications.
This provision establishes ZipRecruiter's operational control over automated access to its platform and restricts the use of its content as training data for machine learning systems. The restriction applies to both data collection activities and downstream uses of collected content in AI model development.
This provision creates a set of AI governance obligations applicable to any customer building or fine-tuning AI models on the Databricks platform, and incorporates by reference a separate AI guidelines document that may be updated independently, creating a dynamic compliance obligation.
The provision establishes a categorical limitation on Google's AI development scope while preserving broad authorization for military and government partnerships outside weapons development. This operational constraint and its recognized ambiguity regarding definitional boundaries create an ongoing governance requirement for Google to assess use case appropriateness.
This disclaimer means that if an AI-generated output causes you harm, financial loss, or you rely on it as professional advice, Leonardo.Ai's position is that it bears no responsibility for those outcomes.
This clause explicitly extends standard copyright restrictions to cover AI development activities, which is an operationally specific restriction that goes beyond general content protection language and addresses an emerging area of content licensing dispute.
The clause establishes an institutional practice of internal access to conversation data, creating an operational mechanism whereby staff gain visibility into user interactions with the AI system as part of normal service administration and product evaluation.
This provision places a contractual disclosure obligation on account holders that mirrors and cross-references emerging legal requirements for AI-generated content transparency, creating a dual compliance obligation under both Vercel's AUP and applicable law.
The provision articulates an organizational commitment to fairness principles in AI system design but does not establish measurable standards, benchmarks, or procedures for monitoring fairness outcomes. The operational significance is limited to establishing fairness as a stated design value rather than a contractual obligation with defined remedies.
Microsoft
· Microsoft Responsible AI Standard
This provision creates an operational standard that governs how Microsoft designs, tests, and deploys AI products. The fairness commitment establishes internal procedures and accountability mechanisms for AI system development, affecting the technical specifications and validation processes applied to Microsoft's AI offerings.
Canva
· Canva Privacy Policy
This provision establishes the operational scope of data collection and processing tied to AI feature usage. It clarifies that content inputs to AI features are subject to collection and review processes distinct from standard service operation, with specified purposes that include model development and safety review.
Using AI features may result in your work data or personal information being used to train or improve AI models, which is a secondary use of data beyond the core service delivery purpose.
The provision establishes the operational framework under which AI-driven service functionality operates, including the scope of data processing activities and the security standards applied. This defines the baseline data handling practices for AI-enabled features within the service offering.